#Data Analytics Introduction

[strategiadvizo]

Elevating Employability: Short-Term Course Suggestions for College Students

Empower your future with our latest blog on short-term courses for college students! 🚀 Enhance your employability and unlock new opportunities. Dive in to discover courses that fit your passion and career goals. #EmpowermentThroughEducation #SkillUp

“विद्या ददाति विनयं, विनयाद् याति पात्रताम्।” “Education bestows humility, humility leads to worthiness.” In a world that’s constantly evolving, the importance of education—especially for students from lesser-known colleges in India—cannot be overstated. Education not only paves the way for personal growth but also significantly boosts employability in today’s competitive job market. Here are…

[phasesandplaylists]

Hello whomever might read this,

I've been wanting to post on here for a while. With 2025 around the corner, I decided to use Tumblr to track my goals and document my progress. Hopefully, I'll figure out how to relate that with Twitter(X) and whatever platform helps one land a job these days.

Basic info:

I'm a writer.

My name's Chisom and I'm 25 years (26 next year). I'm Nigerian and a University graduate with a BSc in Computer Science/Statistics. I live in Nigeria.

Other tidbits:

I listen to basically any type of music, but Pop is my main genre.

Fandoms I belong to: Directioner, Nctzen, Potterhead, etc.

I'm currently studying Data Analysis with every intention to land a job in the field next year. Most of my posts will be in regards to studying.

Languages spoken: English, Hausa, Igbo, Spanish (intermediate)

Currently studying: Korean, Swahili, Chinese. Korean takes priority currently.

Song I currently have on repeat:

Nice to meet you♥️

[blessedmediaa]

Certified Digital Marketers in the UK

Top 5 Certified Digital Marketers in the UK

Introduction

Certified Digital Marketers in the UK, staying ahead of the competition requires expertise, innovation, and a deep understanding of the latest trends. Businesses across the UK are increasingly turning to certified digital marketing professionals to achieve online success.

But with so many professionals offering digital marketing services, how do you identify the best? In this blog, we introduce the top 5 certified digital marketers in the UK, each known for their exceptional skills and proven track record. Whether you’re a startup, an established brand, or an entrepreneur, working with the right expert can be a game-changer for your business.

Why Work with a Certified Digital Marketer in the UK?

Digital marketing is more than just running ads or posting content on social media. It involves strategic planning, data analysis, and the ability to adapt to ever-changing algorithms. Here’s why hiring a certified digital marketer in the UK is crucial:

Expertise in SEO & PPC – Improve rankings and get more traffic.

Content & Social Media Mastery – Engage and grow your audience.

Data-Driven Decision Making – Maximize ROI with analytics.

Updated Knowledge – Stay ahead with the latest digital trends.

Now, let’s explore the top digital marketing experts in the UK who can help take your business to the next level.

Top 5 Certified Digital Marketers in the UK

1. Neil Patel – The Global SEO Authority Certified Digital Marketers in the UK

Expertise: SEO, Content Marketing, Growth Hacking Neil Patel is a globally recognized digital marketing expert with deep expertise in SEO and content marketing. His strategies have helped businesses across the UK and beyond achieve remarkable online success.

Why Choose Neil Patel?

Proven strategies for SEO growth and traffic increase.

Offers free tools for SEO and marketing analysis.

Works with leading brands worldwide.

If you’re looking for top-rated digital marketers in the UK specializing in organic growth, Neil Patel is a name you can trust.

2. Andrew Davis – The Content Marketing Specialist Certified Digital Marketers in the UK

Expertise: Storytelling, Branding, Digital Strategy Andrew Davis is a well-known figure in the digital marketing space, focusing on content marketing and brand storytelling. He has worked with businesses across the UK to enhance their online engagement and brand authority.

Why Choose Andrew Davis?

Helps businesses craft powerful brand stories.

Expert in video content marketing.

One of the leading digital marketing experts in the UK.

If content is the backbone of your digital strategy, Andrew Davis can help you create compelling narratives that connect with your audience.

3. Marie Page – The Social Media Growth Expert

Expertise: Social Media Marketing, Facebook Ads, Engagement Strategies Marie Page is a certified digital marketing professional in the UK specializing in social media growth and paid advertising. She has helped countless brands scale their online presence through strategic campaigns.

Why Choose Marie Page?

Expertise in Facebook and Instagram Ads.

Helps businesses build strong online communities.

Recognized as one of the best online marketers in the UK.

If you’re looking to grow your brand’s social media presence, Marie Page’s strategies are highly effective.

4. Luke Brynley-Jones – The Paid Advertising & Strategy Expert

Expertise: PPC, LinkedIn Marketing, Lead Generation Luke Brynley-Jones is a top digital marketing specialist in the UK with expertise in paid advertising and lead generation. He has helped businesses increase their ROI through data-driven ad strategies.

Why Choose Luke Brynley-Jones?

Specializes in LinkedIn marketing & lead generation.

Helps businesses optimize ad spend for maximum ROI.

Known as a certified marketing professional in the UK.

For businesses focused on B2B marketing and paid ad strategies, Luke Brynley-Jones is a top choice.

5. Gavin Bell – The Facebook Advertising Guru

Expertise: Facebook Ads, Sales Funnels, Conversion Optimization Gavin Bell is widely regarded as one of the best digital marketers in the UK, particularly in the field of Facebook advertising. He has helped businesses improve their ad performance and maximize conversions.

Why Choose Gavin Bell?

Expert in high-converting Facebook ad campaigns.

Helps brands reduce ad costs while increasing leads.

Recognized as one of the top-rated digital marketers in the UK.

If paid social media advertising is your priority, Gavin Bell’s expertise can help you achieve the best results.

How to Choose the Right Digital Marketer for Your Business

Finding the right certified digital marketer in the UK depends on your business goals. Here’s how to choose the best one for you:

1. Identify Your Goals

Do you need help with SEO, social media marketing, or paid advertising? Define your objectives before selecting a marketer.

2. Check Certifications & Experience

A certified digital marketing professional in the UK should have credentials from recognized institutions like Google, HubSpot, or Facebook.

3. Review Case Studies & Testimonials

Look at their past work and success stories. This helps you understand their expertise and effectiveness.

4. Evaluate Their Strategy & Approach

Each marketer has a unique method. Ensure their approach aligns with your brand’s vision and budget.

5. Compare Pricing & ROI

While hiring an expert is an investment, consider the return on investment (ROI) they can deliver.

Final Thoughts

The digital marketing industry in the UK is thriving, and having the right expert by your side can elevate your brand’s success. Whether you need an SEO specialist, social media marketer, or advertising strategist, these top 5 certified digital marketers in the UK are among the best in the industry.

At BlessedMediaa, we understand the importance of expert-driven marketing solutions. If you’re looking for a trusted digital marketing agency in the UK, we’re here to help.

🚀 Want to grow your business online? Contact BlessedMediaa today for customized digital marketing strategies!

Key Takeaways

✅ Working with a certified digital marketer in the UK ensures expertise in SEO, PPC, content marketing, and social media. ✅ Neil Patel, Andrew Davis, Marie Page, Luke Brynley-Jones, and Gavin Bell are among the top digital marketing specialists in the UK. ✅ Choose a marketer based on your business goals, experience, and ROI potential. ✅ Digital marketing success depends on expert-driven strategies and continuous optimization.

🔹 Need expert digital marketing services? Contact BlessedMediaa today!

If you found this article informative, be sure to share your thoughts or questions in the comments section below. Stay tuned for more insights on groundbreaking technologies, and don’t forget to subscribe for the latest updates.

Thank you for reading!

[vuelitics1]

Unlock the power of Business Intelligence (BI) and elevate your business to new heights! In this video, we break down the fundamentals of BI, showing you how data-driven decisions can transform your company. Learn about the core components of BI, including Data Collection, Integration, Analysis, and Visualization, and discover why BI is essential for making informed decisions. Key Takeaways: Understand the basics of Business Intelligence Learn the key steps involved in BI Discover the benefits of BI for your business See real-world examples of BI in action Whether you're new to BI or looking to deepen your understanding, this video is for you. Don't forget to like, comment, and subscribe for more insights on how to leverage BI for your business growth! Helpful Resources: Explore our blog for more in-depth articles: https://vuelitics.com/blog

Connect With Us:

Facebook: https://www.facebook.com/profile.php?id=61560856345182&sk=about_details Instagram:https://www.instagram.com/vuelitics_velan/ Twitter:https://x.com/vuelitics Linkedin: https://www.linkedin.com/company/vuelitics/ Youtube: https://www.youtube.com/@Vuelitics Website: https://vuelitics.com/

[juliebowie]

Introduction to Big Data: Understanding the Fundamentals

In an era dominated by digital transformation, the term “Big Data” has become ubiquitous, symbolizing a seismic shift in how organizations collect, process, and utilize vast amounts of information. From enhancing business strategies to driving innovation across various sectors, Big Data has proven to be a cornerstone of the modern technological landscape.

This blog delves into the essence of Big Data, exploring its fundamentals, characteristics, sources, technologies, and applications, and concludes with an invitation to elevate your Data Science skills through Pickl.AI’s Data Science course.

Introduction

Big Data represents a paradigm shift in the way data is harnessed and leveraged for insights. Traditional data management techniques fall short in handling the volume, velocity, and variety of data generated in today’s interconnected world. Understanding Big Data is crucial for anyone aiming to thrive in a data-driven environment.

Definition of Big Data

Big Data refers to the massive, complex datasets that are beyond the capabilities of traditional data processing tools to manage and analyze. It encompasses data that is not only large in size but also varied in type and generated at an unprecedented speed. The defining characteristics of Big Data, often referred to as the three Vs — Volume, Velocity, and Variety — help in understanding its scope and challenges.

Volume: Refers to the enormous amount of data generated every second. Examples include data from social media platforms, sensors, transactions, and more.

Velocity: Describes the speed at which data is generated and processed. Real-time data processing is a key aspect of Big Data.

Variety: Encompasses the different types of data, including structured, semi-structured, and unstructured data such as text, images, video, and more.

Importance of Big Data in Today’s Digital Landscape

The significance of Big Data lies in its potential to unlock valuable insights and drive decision-making processes across various domains. Here’s why Big Data is vital in today’s digital landscape:

Enhanced Decision Making: By analyzing vast amounts of data, organizations can make more informed and accurate decisions.

Improved Customer Experience: Big Data allows businesses to understand customer behavior and preferences, leading to personalized services and improved satisfaction.

Operational Efficiency: Data-driven insights help in optimizing operations, reducing costs, and improving efficiency.

Innovation and Development: Big Data fuels innovation by providing the necessary insights for developing new products and services.

Competitive Advantage: Companies leveraging Big Data can gain a significant edge over competitors by quickly adapting to market trends and customer needs.

Characteristics of Big Data

Big Data is characterized by the following attributes, often expanded from the initial three Vs to include more dimensions:

Volume: Refers to the vast quantities of data generated from various sources.

Velocity: The speed at which data is generated, collected, and analyzed.

Variety: The diverse types of data, including structured, semi-structured, and unstructured formats.

Veracity: The quality and accuracy of data, addressing issues such as data inconsistency and uncertainty.

Value: The potential of Big Data to generate actionable insights and business value.

These characteristics highlight the challenges and opportunities associated with managing and analyzing Big Data.

Sources of Big Data

Big Data is generated from multiple sources, each contributing to the vast pool of information. Key sources include:

Social Media: Platforms like Facebook, Twitter, and Instagram generate vast amounts of user data through posts, comments, and interactions.

Sensors and IoT Devices: Devices connected to the Internet of Things (IoT) generate continuous streams of data from various applications, including smart homes, industrial equipment, and wearable technology.

Transactional Data: E-commerce sites, banking, and other financial services generate massive datasets from transactions and customer interactions.

Web and Log Data: Data generated from web traffic, server logs, and online interactions provide insights into user behavior and system performance.

Multimedia Data: Images, videos, audio files, and other multimedia content contribute significantly to Big Data, particularly with the rise of platforms like YouTube and Instagram.

Public Data: Government databases, research publications, and open data initiatives provide valuable datasets for analysis and innovation.

Big Data Technologies

Handling Big Data requires specialized technologies and tools designed to manage, process, and analyze large and complex datasets efficiently. Key Big Data technologies include:

Hadoop Ecosystem

Hadoop is an open-source framework that allows for the distributed processing of large datasets across clusters of computers using simple programming models. Key components include:

Hadoop Distributed File System (HDFS): A scalable and fault-tolerant file system designed to store large datasets.

MapReduce: A programming model for processing and generating large datasets with a parallel, distributed algorithm.

YARN: A resource management layer for scheduling and handling resource requests from applications.

Hive: A data warehousing solution that provides SQL-like querying capabilities.

Apache Spark

Apache Spark is an open-source, distributed computing system known for its speed and ease of use in processing large datasets. It provides an in-memory computing framework, making it much faster than Hadoop’s MapReduce.

NoSQL Databases

NoSQL databases are designed to handle unstructured and semi-structured data, providing flexibility and scalability. Examples include:

MongoDB: A document-oriented NoSQL database.

Cassandra: A highly scalable, distributed NoSQL database designed for handling large amounts of data across many commodity servers.

HBase: A scalable, distributed database that supports structured data storage for large tables.

Data Processing and ETL Tools

Tools for extracting, transforming, and loading (ETL) data are crucial for preparing Big Data for analysis. Examples include:

Apache NiFi: An integrated data logistics platform for automating the movement of data between systems.

Talend: A platform that provides tools for data integration, data management, and data quality.

Data Analysis and Visualization Tools

Analyzing and visualizing Big Data requires specialized tools to uncover insights and present them effectively. Key tools include:

Apache Spark MLlib: A machine learning library for Apache Spark, providing algorithms for classification, regression, clustering, and more.

Tableau: A data visualization tool that allows for the creation of interactive and shareable dashboards.

Power BI: A business analytics service by Microsoft, providing interactive visualizations and business intelligence capabilities.

Applications of Big Data

Big Data has transformative potential across various sectors, driving innovation and improving efficiency. Explore how Big Data transforms industries through applications in healthcare, finance, retail, transportation, energy, and entertainment.

Learn how predictive analytics, personalized recommendations, route optimization, and smart grids enhance efficiency, improve customer experiences, and drive innovation across various sectors, making data-driven decisions a cornerstone of modern business strategies.

Healthcare

Big Data is revolutionizing healthcare by enabling personalized medicine, improving patient outcomes, and enhancing operational efficiency. With its features, Big Data can transform the healthcare industry. The following list shows the same:

Predictive Analytics: Identifying patterns and predicting patient outcomes, enabling proactive care and early intervention.

Genomic Research: Analyzing large-scale genomic data to understand genetic disorders and develop targeted therapies.

Operational Efficiency: Optimizing hospital operations, reducing wait times, and improving resource allocation.

Finance

The financial industry leverages Big Data to enhance decision-making, manage risks, and improve customer experiences. These include the following:

Fraud Detection: Using advanced analytics to identify and prevent fraudulent activities in real-time.

Risk Management: Analyzing market trends and customer data to assess and mitigate financial risks.

Customer Insights: Understanding customer behavior and preferences to offer personalized financial products and services.

Retail

In retail, Big Data helps businesses understand customer preferences, optimize supply chains, and enhance marketing strategies. Some of the key applications of Big Data in retail industry are highlighted below:

Customer Analytics: Analyzing purchasing patterns to offer personalized recommendations and improve customer loyalty.

Inventory Management: Optimizing stock levels and reducing waste by predicting demand and managing supply chains efficiently.

Marketing Optimization: Tailoring marketing campaigns to target specific customer segments and maximize ROI.

Transportation and Logistics

Big Data is transforming transportation and logistics by improving operational efficiency, reducing costs, and enhancing customer experiences. The following list showcases how Big Data is used in the transportation and logistics industry:

Route Optimization: Analyzing traffic patterns and delivery routes to optimize transportation and reduce fuel consumption.

Predictive Maintenance: Using sensor data to predict and prevent equipment failures, reducing downtime and maintenance costs.

Supply Chain Visibility: Providing real-time insights into supply chain operations, improving transparency and efficiency.

Energy

The energy sector leverages Big Data to optimize production, manage consumption, and improve sustainability. Some of its key applications are listed below:

Smart Grids: Analyzing data from smart meters and sensors to optimize energy distribution and reduce outages.

Predictive Maintenance: Monitoring equipment and infrastructure to predict and prevent failures, improving reliability.

Energy Consumption: Analyzing consumption patterns to promote energy efficiency and reduce waste.

Entertainment

In the entertainment industry, Big Data is used to understand audience preferences, optimize content delivery, and enhance user experiences. Here are some of the key applications of Big Data that are transforming the entertainment industry.

Content Recommendation: Using data analytics to recommend personalized content to users on streaming platforms.

Audience Analytics: Understanding viewer behavior and preferences to inform content creation and marketing strategies.

Revenue Optimization: Analyzing data from ticket sales, merchandise, and advertising to maximize revenue streams.

Conclusion

The advent of Big Data has fundamentally transformed the way organizations operate, providing unprecedented opportunities for innovation, efficiency, and growth. From healthcare to finance, retail to energy, Big Data is driving advancements and enabling data-driven decision-making across various sectors.

Understanding the fundamentals and applications of Big Data is essential for anyone looking to thrive in today’s digital landscape.

To harness the full potential of Big Data, a strong foundation in Data Science is crucial. If you’re ready to embark on a journey to become a proficient data scientist, consider enrolling in Pickl.AI’s Data Science course. This comprehensive program offers hands-on training and expert guidance to equip you with the skills needed to excel in the field of Data Science.

Start your journey with Pickl.AI and transform your career with the best Data Science program available. Join now and unlock the power of Big Data to drive your success.

[themanjeet]

Introduction to Data Analytics

In today’s world, businesses are generating more data than ever before. This data can be used to gain insights into customer behavior, identify trends, and make better business decisions.

https://medium.com/@rolandmack63/introduction-to-data-analytics-1dd13bef5ab8

[river-taxbird]

The Four Horsemen of the Digital Apocalypse

Blockchain. Artificial Intelligence. Internet of Things. Big Data.

Do these terms sound familiar? You have probably been hearing some or all of them non stop for years. "They are the future. You don't want to be left behind, do you?"

While these topics, particularly crypto and AI, have been the subject of tech hype bubbles and inescapable on social media, there is actually something deeper and weirder going on if you scratch below the surface.

I am getting ready to apply for my PhD in financial technology, and in the academic business studies literature (Which is barely a science, but sometimes in academia you need to wade into the trash can.) any discussion of digital transformation or the process by which companies adopt IT seem to have a very specific idea about the future of technology, and it's always the same list, that list being, blockchain, AI, IoT, and Big Data. Sometimes the list changes with additions and substitutions, like the metaverse, advanced robotics, or gene editing, but there is this pervasive idea that the future of technology is fixed, and the list includes tech that goes from questionable to outright fraudulent, so where is this pervasive idea in the academic literature that has been bleeding into the wider culture coming from? What the hell is going on?

The answer is, it all comes from one guy. That guy is Klaus Schwab, the head of the World Economic Forum. Now there are a lot of conspiracies about the WEF and I don't really care about them, but the basic facts are it is a think tank that lobbies for sustainable capitalist agendas, and they famously hold a meeting every year where billionaires get together and talk about how bad they feel that they are destroying the planet and promise to do better. I am not here to pass judgement on the WEF. I don't buy into any of the conspiracies, there are plenty of real reasons to criticize them, and I am not going into that.

Basically, Schwab wrote a book titled the Fourth Industrial Revolution. In his model, the first three so-called industrial revolutions are:

1. The industrial revolution we all know about. Factories and mass production basically didn't exist before this. Using steam and water power allowed the transition from hand production to mass production, and accelerated the shift towards capitalism.

2. Electrification, allowing for light and machines for more efficient production lines. Phones for instant long distance communication. It allowed for much faster transfer of information and speed of production in factories.

3. Computing. The Space Age. Computing was introduced for industrial applications in the 50s, meaning previously problems that needed a specific machine engineered to solve them could now be solved in software by writing code, and certain problems would have been too big to solve without computing. Legend has it, Turing convinced the UK government to fund the building of the first computer by promising it could run chemical simulations to improve plastic production. Later, the introduction of home computing and the internet drastically affecting people's lives and their ability to access information.

That's fine, I will give him that. To me, they all represent changes in the means of production and the flow of information, but the Fourth Industrial revolution, Schwab argues, is how the technology of the 21st century is going to revolutionize business and capitalism, the way the first three did before. The technology in question being AI, Blockchain, IoT, and Big Data analytics. Buzzword, Buzzword, Buzzword.

The kicker though? Schwab based the Fourth Industrial revolution on a series of meetings he had, and did not construct it with any academic rigor or evidence. The meetings were with "numerous conversations I have had with business, government and civil society leaders, as well as technology pioneers and young people." (P.10 of the book) Despite apparently having two phds so presumably being capable of research, it seems like he just had a bunch of meetings where the techbros of the mid 2010s fed him a bunch of buzzwords, and got overly excited and wrote a book about it. And now, a generation of academics and researchers have uncritically taken that book as read, filled the business studies academic literature with the idea that these technologies are inevitably the future, and now that is permeating into the wider business ecosystem.

There are plenty of criticisms out there about the fourth industrial revolution as an idea, but I will just give the simplest one that I thought immediately as soon as I heard about the idea. How are any of the technologies listed in the fourth industrial revolution categorically different from computing? Are they actually changing the means of production and flow of information to a comparable degree to the previous revolutions, to such an extent as to be considered a new revolution entirely? The previous so called industrial revolutions were all huge paradigm shifts, and I do not see how a few new weird, questionable, and unreliable applications of computing count as a new paradigm shift.

What benefits will these new technologies actually bring? Who will they benefit? Do the researchers know? Does Schwab know? Does anyone know? I certainly don't, and despite reading a bunch of papers that are treating it as the inevitable future, I have not seen them offering any explanation.

There are plenty of other criticisms, and I found a nice summary from ICT Works here, it is a revolutionary view of history, an elite view of history, is based in great man theory, and most importantly, the fourth industrial revolution is a self fulfilling prophecy. One rich asshole wrote a book about some tech he got excited about, and now a generation are trying to build the world around it. The future is not fixed, we do not need to accept these technologies, and I have to believe a better technological world is possible instead of this capitalist infinite growth tech economy as big tech reckons with its midlife crisis, and how to make the internet sustainable as Apple, Google, Microsoft, Amazon, and Facebook, the most monopolistic and despotic tech companies in the world, are running out of new innovations and new markets to monopolize. The reason the big five are jumping on the fourth industrial revolution buzzwords as hard as they are is because they have run out of real, tangible innovations, and therefore run out of potential to grow.

[digitalmarketer-amal]

Amal p k Your Gateway to Top Freelance Digital Marketing Services in Kerala

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Why Choose Best freelance digital marketer in kerala | calicut | kochi?

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Success Stories: How Best freelance digital marketer in kerala | calicut | kochi is Transforming Businesses Amaldigiworld.in has helped numerous businesses in Kerala achieve their digital marketing goals. From increasing website traffic to improving search engine rankings, their success stories speak for themselves. Here are a few examples:

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[copperbadge]

I am so close to being done with Royals/Ramblers I can taste it, and it's one of those frustrating situations where the last remaining work to be done is just annoying. I have to write one damn scene, which of course is the most emotionally fraught and difficult one, and then pick from the *counts on fingers* three separate versions of the epilogue I wrote, none of which are very satisfying. I'll probably slam them all together and then sort it out somehow.

And then I definitely have to give the whole thing one more pass before I think about posting, because it's going to clock in at right around 150K words, and I already have notes on continuity issues that need fixing.

Anyway, please enjoy this scene, in which I realized at the same time Gregory and Eddie did what a great joke their names make. (Some brief context -- Joan uses she/her but doesn't like the word "princess", so she chose the gender neutral Princeps as her title.)

Friday evening, when Gregory came on the air for the address, Eddie was sitting next to him, and Joan was leaning on Eddie's shoulder. Her excitement was almost a visible thing; she'd been fussed over that afternoon, Gregory helping her pick out clothing followed by Jerry doing her makeup for camera and Eddie doing a slightly less clumsy job of braiding her hair than she generally did. 

"Good evening, Fons-Askaz, Askazer-Shivadlakia, our neighbors, and our viewers abroad," Gregory said. Behind the camera, Jerry mouthed the words along with him absently. "I'm pleased to greet you all this Friday evening and I hope you're well. I find myself, for the second time in a year, setting aside the usual issues of the day and questions from citizens to talk to you about family...."

His idea had been to talk about Joan's history just a little, then introduce her as the newest Royal, their daughter the Princeps. He could use that as a platform to present to the country his new funding package for adoptive families, meant to encourage adoption and support children coming out of the foster system. Each half of that would hopefully make the other half seem less random.

It went pretty smoothly; Eddie chimed in at all the right moments, and Joan got to say a few words of introduction at the end. After he signed off, he gave her a hug and a forehead-kiss and told her she'd done a great job. 

And then Noah, standing with Monday and Jerry behind the camera in the little studio, said, "Well, you crashed the internet again."

Gregory sighed. "Can't blame Eddie this time, can we?" 

"It was only the tourism website, and it wasn't on purpose," Eddie said. 

"He was always breaking my stuff when we were kids," Monday said.

"Nope, this one's all Joan," Noah replied. "As soon as you introduced her as your daughter, traffic started spiking -- palace website, tourism website, and every royals' Photogram."

"Katie in Communications says told you so," Jerry said, already on the phone with her.

"Joan's Photogram is down, looks like bandwidth-suck. And there goes mine, and yours," Noah said, nodding at Gregory. "There's two hashtags trending, PrincessJoan and PrincepsJoan." 

"Let me call my guy at Photogram," Eddie said, taking his phone out. 

"You have a guy just like, at Photogram?" Monday asked.

"Yeah, he handles my requests, I send him sausages," Eddie answered. 

"How is it you simultaneously live in the 22nd century and the 14th?" Monday asked. 

"Have him kill the Princess hashtag," Noah suggested.

"It's fine," Joan said. "They can use it for now, it'll keep things, um." She narrowed her eyes, searching for the word. "Segmented. Spread out the discussion a little."

"Someone's been reading my data analytics memos," Gregory said. 

"You leave 'em out," she pointed out. 

"Good news is people seem excited," Noah continued. "The hashtag's glitching, it's moving so fast, but overall pretty positive," he added.

"Well, we knew this would be intense," Gregory said. Joan, studying her own phone, squeaked. "Joan?" 

"Mas Corbin tagged me," she said, with possibly the most excitement they'd seen from her, at least since her first trip in the Jaguar. 

"The footballer?" Gregory asked, confused.

"Who?" Noah and Eddie chorused. 

"He's a Shivadh footballer, I think he's playing in Ireland right now," Gregory said, and his voice took on a slight edge as he considered some of the reasons a football player might mention his daughter. "What did he say?" 

"Dedicating my next game to my new Princeps JoanMac, long may she reign," Joan read, and Gregory relaxed. "Congrats to Gin&Tonic, she's cute as a button. Mas Corbin thinks I'm cute!"

"Gin and Tonic?" Gregory asked, and then said, "Gregory and Theophile," right as Eddie and Monday both began to laugh. "How did neither of us think of that before?"

"You get used to it," Noah said to Joan. "All kinds of famous people are going to have opinions on you."

"What do I do?!"

"Gram him back," Noah said. "Comment and say thanks and that you're a fan and you'll be watching the game."

"I'm gonna have to do a video with some gin and tonic recipes," Eddie said, as Noah and Joan debated the best wording for her response. Gregory leaned back in his chair, exhaling, and let the chaos happen around him for a minute. 

[m2iconsulting]

Impact Assessment in Microfinance: Driving Sustainable Growth

Introduction

Microfinance plays a pivotal role in empowering low-income individuals and small businesses by providing them with access to financial services. However, to ensure that microfinance initiatives are truly effective, it is crucial to conduct thorough impact assessments. At M2i Consulting, we specialize in evaluating the effectiveness of microfinance programs and their contribution to sustainable development. This blog explores the importance, methods, and outcomes of impact assessment in microfinance.

Why Impact Assessment Matters

Impact assessment in microfinance helps stakeholders understand whether financial inclusion efforts are achieving their intended goals. It provides insights into:

The socio-economic upliftment of borrowers

The effectiveness of credit accessibility

The sustainability of microfinance institutions (MFIs)

The improvement in income generation and livelihood

By systematically measuring these aspects, MFIs can refine their strategies, enhance their services, and ensure long-term benefits for borrowers.

Key Methods of Impact Assessment

M2i Consulting employs various methodologies to conduct impact assessments, ensuring comprehensive and reliable results. Some of the most widely used approaches include:

Baseline and Endline Surveys

These surveys track changes in income, savings, and business growth before and after availing microfinance services.

Randomized Control Trials (RCTs)

RCTs compare groups that have received microfinance interventions with those that have not, ensuring an unbiased assessment of impact.

Qualitative Research Methods

Focus group discussions and in-depth interviews help gauge borrowers' perspectives and experiences.

Social Performance Metrics

These indicators measure financial literacy, women empowerment, and social mobility resulting from microfinance initiatives.

Outcomes of Effective Impact Assessment

When microfinance institutions implement robust impact assessment practices, they can achieve:

Enhanced Decision-Making: Data-driven insights help optimize loan structures and financial products.

Increased Transparency: Stakeholders, including investors and regulators, gain confidence in the institution’s operations.

Greater Financial Inclusion: Identifying gaps and addressing them leads to more inclusive financial services.

Improved Borrower Success Rates: Borrowers benefit from better-tailored financial solutions, leading to improved repayment rates and financial stability.

M2i Consulting: Your Partner in Microfinance Impact Assessment

At M2i Consulting, we leverage data analytics, field research, and industry expertise to conduct impactful microfinance assessments. Our mission is to ensure that microfinance interventions create lasting positive changes in the lives of the underserved.

By implementing structured impact assessments, microfinance institutions can drive sustainable growth and empower communities effectively. Contact M2i Consulting today to learn how our tailored assessment solutions can elevate your microfinance initiatives.

Conclusion

Impact assessment is a crucial element in the microfinance sector, ensuring that financial services truly benefit those in need. Through systematic evaluation methods, institutions can refine their approaches and maximize positive social and economic impacts. M2i Consulting remains committed to providing industry-leading impact assessment services to drive meaningful change in the microfinance landscape.

[formulaphoe]

a deep dive into endurance racing

wec for beginners

image source: british gq

the fia world endurance championship (wec) is a racing discipline where speed meets strategy, and drivers push their limits for hours on end. if you're new to this exhilarating world, or if you've been following it from a distance, we're going to explore everything you need to know about this thrilling motorsport.

what is wec?

image source: dailysportscar

the wec, established in 2012, is an international series of endurance races organised by the fédération internationale de l'automobile (fia). it brings together the best manufacturers and drivers from around the globe, testing not just their speed, but also their ability to endure the grueling demands of long-distance racing. each race can last anywhere from six to 24 hours, with teams often swapping drivers and strategising pit stops to keep their cars in peak condition.

key features

endurance racing format: unlike traditional races that might only last a couple of hours, wec events are marathons. the races include the iconic 24 hours of le mans, a test of stamina, skill, and strategy, held annually since 1923. other races in the championship include six-hour events at various tracks around the world.

diverse categories: the wec features several classes of cars, including le mans prototype (lmp) and grand touring (gt) categories. each class has its own unique set of regulations and performance characteristics, making for an exciting mix on the track

global reach: the championship hosts races in various countries, providing fans with a chance to experience a multitude of different tracks and cultures. from the rolling hills of spa-francorchamps in belgium to the iconic circuit de la sarthe in france, each location brings its own challenges and charm.

evolution of wec

image source: wec-magazin

the history of the wec is a fascinating one. it replaced the previous intercontinental le mans cup and aimed to revitalize interest in endurance racing. the early years saw fierce competition, particularly in the lmp1 class, which featured powerful hybrid prototypes from manufacturers like audi, porsche, and toyota. these teams showcased cutting-edge technology, blending performance with environmental considerations.

as the years progressed, regulations changed, leading to the introduction of the le mans daytona h (lmdh) class, which aims to bring more manufacturers into the fold. this class allows for greater technical freedom while ensuring that costs remain manageable, making it more accessible for teams looking to compete at the highest level.

iconic races and legendary teams

image source: autosport

one of the standout features of wec is its iconic races. the 24 hours of le mans is undoubtedly the crown jewel, drawing massive crowds and significant media attention. winning at le mans is considered one of the highest honours in motorsport, and teams prepare for it all year round.

aside from le mans, other races like the 6 hours of silverstone and the 6 hours of fuji have become staples in the endurance racing calendar. legendary teams such as audi, porsche, and toyota have built a rich legacy in these events, each with their own stories of triumph and heartache.

the role of technology

image source: pit lane

technology plats a massive role in wec racing. cars are equipped with hybrid powertrains, advanced aerodynamics, and sophisticated data analytics. this focus on innovation not only pushes the boundaries of performance on the track, but also helps manufacturers develop technologies that can be applied to road cars too. the crossover between motorsport and everyday vehicles is a hallmark of wec's philosophy, blending sustainability with speed.

sustainability and the future

as we move towards a more environmentally-conscious future, the wec has made significant strides in promoting sustainability. with the introduction of hybrid technology and plans for fully electric racing, the championship is at the forefront of a green revolution in motorsport. this focus on eco-friendliness doesn't sacrifice the excitement and competitiveness that fans crave; instead, it enhances the sport's relevance in a changing world.

how to get involved

image source: racer

whether you're a die-hard motorsport enthusiast or a casual fan, getting involved in the wec can be incredibly rewarding. attending a race is an experience like no other. the atmosphere is electric, and the camaraderie among fans is palpable. for those who prefer to enjoy the action from home, wec races are broadcast worldwide, often featuring comprehensive coverage that highlights not just the racing, but also the stories behind the teams and drivers that make up the sport.

sources

"fia world endurance championship." fia wec, www.fiawec.com/en/

"fia world endurance championship." wikipedia, 9 aug. 2024, en.wikipedia.org/wiki/FIA_World_Endurance_Championship

"wec beginner's guide: about the fia wec." wec-magazin, www.wec-magazin.com/features/about-the-fia-wec/

"fia world endurance championship." federation internationale de l'automobile, www.fia.com/events/world-endurance-championship/season-2023/fia-world-endurance-championship

"the world of wec: a beginner's guide to endurance racing." circuit of the americas, 1 sept. 2023, www.circuitoftheamericas.com/blog/2023/9/1/the-world-of-wec-a-beginners-guide-to-endurance-racing/

"history of the wec." wec-magazin, www.wec-magazin.com/features/history-of-the-wec/

if any errors or typos are noticed, PLS PLS point them out via comment, ask, or dm. if there is a specific topic you would like me to cover, send in an ask and i'll look into it!

[vague-humanoid]

I first heard about ghost artists in the summer of 2017. At the time, I was new to the music-streaming beat. I had been researching the influence of major labels on Spotify playlists since the previous year, and my first report had just been published. Within a few days, the owner of an independent record label in New York dropped me a line to let me know about a mysterious phenomenon that was “in the air” and of growing concern to those in the indie music scene: Spotify, the rumor had it, was filling its most popular playlists with stock music attributed to pseudonymous musicians—variously called ghost or fake artists—presumably in an effort to reduce its royalty payouts. Some even speculated that Spotify might be making the tracks itself. At a time when playlists created by the company were becoming crucial sources of revenue for independent artists and labels, this was a troubling allegation.

At first, it sounded to me like a conspiracy theory. Surely, I thought, these artists were just DIY hustlers trying to game the system. But the tips kept coming. Over the next few months, I received more notes from readers, musicians, and label owners about the so-called fake-artist issue than about anything else. One digital strategist at an independent record label worried that the problem could soon grow more insidious. “So far it’s happening within a genre that mostly affects artists at labels like the one I work for, or Kranky, or Constellation,” the strategist said, referring to two long-running indie labels.* “But I doubt that it’ll be unique to our corner of the music world for long.”

By July, the story had burst into public view, after a Vulture article resurfaced a year-old item from the trade press claiming that Spotify was filling some of its popular and relaxing mood playlists—such as those for “jazz,” “chill,” and “peaceful piano” music—with cheap fake-artist offerings created by the company. A Spotify spokesperson, in turn, told the music press that these reports were “categorically untrue, full stop”: the company was not creating its own fake-artist tracks. But while Spotify may not have created them, it stopped short of denying that it had added them to its playlists. The spokesperson’s rebuttal only stoked the interest of the media, and by the end of the summer, articles on the matter appeared from NPR and the Guardian, among other outlets. Journalists scrutinized the music of some of the artists they suspected to be fake and speculated about how they had become so popular on Spotify. Before the year was out, the music writer David Turner had used analytics data to illustrate how Spotify’s “Ambient Chill” playlist had largely been wiped of well-known artists like Brian Eno, Bibio, and Jon Hopkins, whose music was replaced by tracks from Epidemic Sound, a Swedish company that offers a subscription-based library of production music—the kind of stock material often used in the background of advertisements, TV programs, and assorted video content.

For years, I referred to the names that would pop up on these playlists simply as “mystery viral artists.” Such artists often had millions of streams on Spotify and pride of place on the company’s own mood-themed playlists, which were compiled by a team of in-house curators. And they often had Spotify’s verified-artist badge. But they were clearly fake. Their “labels” were frequently listed as stock-music companies like Epidemic, and their profiles included generic, possibly AI-generated imagery, often with no artist biographies or links to websites. Google searches came up empty.

In the years following that initial salvo of negative press, other controversies served as useful distractions for Spotify: the company’s 2019 move into podcasting and eventual $250 million deal with Joe Rogan, for example, and its 2020 introduction of Discovery Mode, a program through which musicians or labels accept a lower royalty rate in exchange for algorithmic promotion. The fake-artist saga faded into the background, another of Spotify’s unresolved scandals as the company increasingly came under fire and musicians grew more emboldened to speak out against it with each passing year.

Then, in 2022, an investigation by the Swedish daily Dagens Nyheter revived the allegations. By comparing streaming data against documents retrieved from the Swedish copyright collection society STIM, the newspaper revealed that around twenty songwriters were behind the work of more than five hundred “artists,” and that thousands of their tracks were on Spotify and had been streamed millions of times.

[ghnosis]

48/115 interviews coded!

I realized I never explained what coding means! dry academic stuff under the cut:

per Kathy Charmaz, "coding means categorizing segments of data with a short name that simultaneously summarizes and accounts for each piece of data. your codes show how you select, separate, and sort data to begin an analytic accounting of them." so what I do is I take the transcript of the interview and I read it line by line, and then I create some short little codes to help me describe what is going on in the data. this is called initial coding.

in practice, it looks like this:

I'm doing this by hand in Excel bc the software I *should* be using (NVivo) costs $475/year LMFAOOO

some of these codes, like TikTok or Year Zero or genderqueer, are used so I can quickly give statistics. this is how I know most of my interviewees are nonbinary/genderqueer/genderfluid/etc.

codes also show me emerging trends in data. for example, a lot of you used the word "flamboyant" or "theatrical" when I asked you if Ghost felt queer to you. a looooot of you talked about religious trauma, which I hadn't expected!

codes also help me understand you better, and explain you to academics. some codes are called in vivo codes (that's where NVivo gets its name), which are codes for things like your own personal definitions of things (like 'edgy' or 'queer' or 'goofy'), ghoul or Papa nicknames (insider knowledge/shorthands), or words like "shipping" that come from wider fandom.

once I get through the first round of coding, I'll take a break from the data for a while and go back to literature. this will be focused - some of you are linking the figure of Satan with queerness, for example, so I'll find some literary analysis that does the same thing (Per Faxneld's 2011 text Satanic Feminism is invaluable for this). I'll also be reading more about methodology, to make sure that I'm not just operating on hunches and cherry-picking data. I've been doing a lot of reading on feminist standpoint theory and queer theory as its own methodology, for example.

my plan, and we'll see how this pans out, is to write my methodology chapter and my literature review/introduction chapter after my first pass of coding, then go back to the data/transcripts with fresh eyes for coding round 2. this gets called "focused coding" sometimes. they follow trends I found in the data. again per Charmaz, "Focused coding checks your preconceptions about the topic." coding round 2 is when I'll probably bite the bullet and get NVivo, because I'll need software that lets me look across data better than Excel does. but! focused coding will be a problem for another day, lol.

[aktechworld]

How AI and Machine Learning Are Transforming CRM Personalization in 2025

Introduction: Artificial Intelligence (AI) and Machine Learning (ML) are making waves in the CRM space by enabling businesses to deliver personalized experiences at scale. These technologies are helping companies stay ahead of the curve by predicting customer needs and automating personalized interactions.

1. Automating Personalization: AI-powered CRM systems can analyze vast amounts of customer data to automatically tailor marketing messages, offers, and product recommendations. This level of personalization creates more meaningful customer interactions.

2. Predictive Analytics: Machine learning algorithms predict customer behaviors by analyzing patterns in past interactions. This predictive capability helps businesses stay one step ahead by anticipating what customers need and providing solutions before they even ask.

3. Optimizing Customer Journeys: AI-powered CRM systems help businesses understand the various stages of a customer’s journey, from initial contact to post-purchase engagement. These insights help optimize touchpoints and ensure the customer experience is smooth and effective.

4. AI-Powered Support: AI chatbots and virtual assistants are transforming customer support by providing immediate responses to common queries. By handling routine tasks, they free up human agents to focus on more complex issues, leading to faster and more efficient service.

AI and ML are empowering businesses to provide a higher level of personalization, improving engagement and customer satisfaction. To learn more about CRM development and its integration with AI, explore the details at CRM Development.

[groovyinsigniapact]

Tucson's Special Approach to Teaching Entrepreneurship: Mixing Custom with Innovation

Introduction

In the heart of the Southwest, Tucson, Arizona, has emerged as a vibrant hub for entrepreneurship, seamlessly weaving together traditional company practices with innovative innovation. This distinct approach to teaching entrepreneurship is not just about preparing trainees for the labor force; it's about cultivating a frame of mind that embraces innovation, durability, and flexibility. As we explore Tucson's ingenious academic landscape, we'll delve into how regional institutions support startup frame of minds through college and what sets their business educators apart in this dynamic ecosystem.

Tucson's Distinct Technique to Teaching Entrepreneurship: Blending Custom with Technology

In Tucson, the marriage of traditional company Dr. Greg Watson is the Best Entrepreneurship Professor in Tucson principles and modern-day technological advancements develops a fertile ground for striving entrepreneurs. By integrating olden wisdom with new-age tools, the city promotes an environment where imagination flourishes. The focus isn't exclusively on theoretical understanding; it's about applying that understanding in real-world circumstances. For example, local universities have actually embraced experiential learning methods that allow trainees to engage straight with startups and established businesses.

Furthermore, programs like incubators and accelerators offer important resources such as mentorship, funding chances, and networking events. Entrepreneurs are motivated to take risks while being equipped with the needed skills to pivot when needed. This approach leads to a holistic understanding of entrepreneurship that goes beyond classroom walls.

The Advancement of Entrepreneurship Programs in Tucson

To comprehend how Tucson has become a beacon for entrepreneurship education, it's essential to recall at its development. Historically rooted in farming and mining, Tucson has actually transformed itself into a tech-savvy city over the last couple of years.

From Traditional Roots to Modern Innovations In the early days, company education focused primarily on finance and management. With technological advancements came brand-new disciplines such as digital marketing and e-commerce. Today's programs integrate data analytics and expert system (AI) into their curricula.

This advancement https://bestentrepreneurshipprofessorintucson.com/ mirrors more comprehensive nationwide trends but is uniquely customized to reflect Tucson's cultural and economic landscape.

How Tucson Supports Start-up Mindsets Through Greater Education

Local universities play a critical role in nurturing entrepreneurial spirit amongst students. Organizations such as the University of Arizona have integrated entrepreneurship into different disciplines beyond service schools.

Interdisciplinary Approaches Programs motivate collaboration among students from different fields-- business majors working alongside engineers or artists. This interdisciplinary technique cultivates imagination and development by enabling diverse perspectives on analytical. Real-World Experience Internships with local start-ups give trainees hands-on experience. Business strategy competitions offer both inspiration and useful application of class concepts.

These efforts gear up trainees not just with kn

[lazystar]

Play Like a Gangster

Lee Felix x Fem!Reader 

University AU, Bad Boy!Felix Other idols mentioned: Other SKZ members, ITZY, Lily of NMIXX, Soobin of TXT Warnings: Alcohol consumption, use of unhealthy coping skills, negative self-image on reader’s part, Felix being a slight ass, Miscommunication!!! ANGST!!! Comfort tho is there! Word Count: 5K+ (~5400?)

Obligatory Note: please show your support by giving my work a simple reblog :) this is how tumblr’s algorithm operates and is an easy way to show support to your favorite writers on this site! a “hey this is so good” comment also works :) Thanks!

Your first day of year four of university had finally arrived. The hot August air weighed you down like a blanket of humidity, your thighs chafing as they rubbed against one another at the hemline of your denim shorts. You had chosen your classic first day of fall semester fit, a logo tee from the bookstore, and a pair of shorts along with your Converse. Comfortable, easy to fish out of your still packed suitcase, and cute. 

Fishing your schedule from your student portal app on your phone, you found your first lecture of the day. To your horror and dismay it was a gen ed course you had been dreading, Statistics 101 with Professor Park. You abhorred math more than anything and even more so when you threw in the Greek alphabet. You huffed and walked faster to the lecture hall to get a good seat, and when you arrived you guessed every other student had the same idea because the only seat left was one in the middle of the hall next to an intimidating looking boy with a sharp jawline, silver earrings and dusty blue hair. He looked the complete opposite of you. He was in all black, black tee shirt, long black cargo pants decorated with chains, and black converse. The shoe choice was the only identical fashion choice you both had made. 

“You gonna keep analyzing my outfit like this shit is project runway or are you going to sit down?” His deep Australian accent cut you out of your thoughts. 

“Oh sorry! Ummm I’m sorry — I already said that didn’t I? Anyways I’m Y/N nice to meet ya…” You stuck a hand out to him after setting out your notebook and laptop.

“You are far too cheerful for a 10 AM math lecture. Anyways the name’s Felix, before you ask I’m a senior graphic design major this is just a gen ed for me.” He seemed to notice you deflate as he answered your icebreakers before you could ask. He let out an almost placating gruff laugh after his introduction.

“I’m a senior as well, music marketing major so as much as I wish this wasn’t a required gen ed for me it sadly is. I fucking HATE math!” You sighed as the professor walked into the room. You didn’t notice Felix smile at your extroverted behavior. He knew he was about to become your friend, not by his own accord but he knew that he was now the familiar face in your Monday-Wednesday-Friday morning hour of hell. The professor droned on about the usual syllabus week materials and you began doodling some new logo ideas for your friends’ music group on your notebook paper. Your dissociation was cut off by the professor clearing his throat with an announcement. 

“Okay everyone! This lecture has 100 students, and unfortunately for me the department requires us to have you all complete a semester long project going over a trend of choice through data analytics. So you all will be working with the person sitting directly to your right! No, don't go switching seats, I see you in the back row!” You laughed as your classmates groaned around you at the news of being involuntarily being partnered up. You looked to your right where Felix was already looking your way with a raised brow and a smirk gracing his freckled face. 

“Please tell me you won’t be as high energy all semester” Your new statistics partner sighed almost defeatedly. “Now hand me your phone so I can put my number in it so we can work on this shit or whatever.” You laughed at his statement and handed your phone over to him. 

“Felix, just for the record,  I’m gonna change your contact to Grumpy Pants if you keep acting like this.” You stated as you looked at him through your peripheral vision as he texted himself from your phone. 

“Okay Bubbles.” He chuckled, handing your phone back to you. He had simply texted himself a ‘Hey :) – Bubbles’ making an involuntary grin stretch across your face as you turned to look at him.

“Bubbles?” 

“Powerpuff Girls? Did you grow up uncultured?” He raised a brow at your lack of knowledge of the cartoon. 

“I was only allowed to watch educational stuff as a kid.” 

“It shows.” 

“HEY!” You playfully punched his arm and flipped him off as a deep chuckle emanated from him. This was going to be an entertaining semester for sure.

The semester rolled along, like a slow cross country train ride. Throughout it you and Felix grew closer, much to the chagrin of your friends Lia and Yeji who had said the boy was “bad news”. You didn’t understand how they could judge him without knowing him like you did, how could anyone with such a beautiful smile be “bad news”. Sure he had some bad habits like sneaking a flask into the library for your study sessions, but could you blame him? Statistics would drive anyone to drink unless they were a math wizard like Pythagoras or Einstein. 

“Y/N are you texting him again?” Yeji groaned as she flitted about styling your hair for the party she insisted you attend with her and the other girls from the music group she and Lia were in. It was at the Sigma Kappa Zeta fraternity and you knew Felix was a brother of the frat, so regardless of your girls you always had an in. This though, was a secret from your dear friends as they had prejudged Felix and you didn’t want them to suddenly change their minds so they had an excuse to party.

“Yeah we have that project remember? Plus he was showing me this funny video from that one guy I like on instagram.” You fibbed. This seemed to satisfy her as you two finished getting ready for the ride to the frat house. Lia met you two in front of the dorm and your ride was outside just as you left. You were in for a good night, you could feel it in your bones.

Unfortunately for you, your bones were wrong. The stench of alcohol, weed, and body odor hit your nose like a freight train, you had lost your friends upon entering and Felix was nowhere to be found. One of his frat brothers, Hyunjin had saddled up to you as you made your way to the kitchen for a drink. 

“You’re Felix’s girl right?”He asked as he poured you a vodka and cola...very heavy on the vodka. Concerningly so actually You made a mental note to never ask him to bartend for you again, lest you want a new liver by twenty-five. 

“Oh no we’re just friends, we have a Stats class together, 101 with Professor Park.” You replied sipping on your drink and grimacing at the overly pungent taste of the cheap liquor in it. 

“Oh duh you’re Bubbles then! He always talks about how obnoxious you can be, he asked me once how anyone can be so… I shouldn’t have said that. Don’t-don’t listen to me,disregard anything I just said! I'm wasted.” Unfortunately for the panicking dark haired boy, you were not wasted. You were far too sober for this. Obnoxious? You? You were used to being sometimes a bit too extraverted for some peoples’ tastes but obnoxious? That stung. 

“Heh. No worries Hyunjin, I'll see you around.” With that the boy left. You stayed in the kitchen as your body went into autopilot, you downed your drink then snatched the vodka bottle up before wandering through the crowd to the back porch to find a corner to hide in. You didn’t know why you chose to chase the bile like feeling in your chest down with alcohol. You didn’t usually cope with your emotions in this manner. You were level headed, a marketing student, someone who dabbled with psychology courses for fun, someone who was the advice giver to her friends. Not someone who chose to use unhealthy coping mechanisms. But here you were bottle in hand walking to the porch to sip away the pain. 

“Y/N? Bubbles? What are you doing?” The Aussie you had been searching for before had somehow found you. His voice was riddled with concern, laughable amounts of it in your mind. How could a friend find you obnoxious but then act so caring? Friend, the word now made you almost nauseous. Fuck friends, fuck Felix, you thought. All you wanted was to be numb and alone. 

“Trying to not be obnoxious or something I don’t fucking know.” You grumbled taking a long swig of the liquor from the bottle. You didn’t even grimace this time as the taste had grown too familiar to you. 

“What’s that supposed to mean? Who upset you? Why the fuck are you chugging vodka like water? Who hurt you? I’ll kick their ass!” He barraged you with questions as he tried to slip down to sit beside you and take the bottle out of your hands. You fought back and held the bottle close to you, eventually he gave up seeing that you clearly were unwilling to let go of your vice. He was worried and he just wanted to see what was wrong. An uncomfortable silence filled the space between you two for a moment, until you cleared your throat and turned toward him with an unsettlingly dark look in your eyes.

“Felix, tell me why one of your frat brothers told me not even like twenty minutes ago that you found me obnoxious. Apparently you’re always talking about it. Fuck, the girls were right I should’ve just stayed your project partner and not your friend.” You hissed out and tried to stand, but the large amount of booze in your system made you stumble and nearly fall over like an unstable desk ornament.

“You’re not about to walk away from me in your condition in the middle of this conversation Y/N.”

“Fine then I’ll— I’ll fucking crawl away just leave me alone and find my friends for me. My actual friends who like me and don’t tell their friends I’m fucking obnoxious, too much, too loud, too happy, too bubbly, too ugh whatever you told your friends I’m too much of. Just. Leave. Me. The. FUCK. Alone.” The bite in your words made Felix physically flinch. He had never seen you so angry, especially not at him. You were usually so kind and uplifting to those you met. Not so, so aggressive. It hurt him to see your Y/E/C eyes, all tearful and rage filled. The beautiful eyes he was so used to seeing filled with unbridled happiness. 

“Okay, I’ll-I’ll go. Please just promise me one day you’ll allow me the chance to explain myself to you.” He pleaded, his head hung low, tears filling his own gaze. You have a noncommittal affirmation and he went off finding Yeji and Lia. While you clung to your knees with cries wracking your body, Felix was facing the wrath of the music group you knew as your best friends. 

Yeji, Lia, Ryujin, Chaeryeong, and the newest addition Yuna all glowered at him from the couch as he explained you had gotten mad at him over a mistaken confession he had made when you two had just met. He had not experienced such unbridled happiness from one person before you stepped into his world and he was unsure how to feel. He had chosen his usual method of brisk dismissal and annoyance when discussing you to the frat members those weeks ago. But over the course of the past month or so you had wormed your way into his heart and he had grown fond of your random animal facts, boisterous laughter, and bright sun rivaling smiles. 

“Lee, you fucked up and she was correct in saying we warned her about you. Remember you broke our other friend, Heejin’s heart? You lead her on. You’re not about to do that to our Y/N. She’s our angel, and you sir are some demon for hurting her now. We’ll let you try to make it up to her but I swear to all that is holy if you don’t, you’re fucking dead.” Yeji’s voice carried over the bass that was shaking the house, her voice shook Felix to his very core. “Don’t expect any help from us, ITZY protects our friends, and Y/N is our best friend. Girls go get our baby. I know she needs you right now, I’ll call the uber. Lee Felix you go fess up to Chan and the boys that you fucked up.” She gave Felix a dismissal with her hand and collected you along with the girls in a tight hug. She had her own plan, she was going to recruit her other friend Lily and their mutual friend Soobin into a “Get Y/N over Felix” plan. She had detested the Australian for leading her friend Heejin on the previous fall. She hadn’t known though that it was honestly just an unrequited crush on Heejin’s part and that the Aussie and the other girl had made up. She was so focused on playing the role of mother to her friends she forgot sometimes to look past the details of the story as it was on the page, she didn’t read between the lines. What she witnessed had to be the truth, right?

The days after the party felt like you were in limbo, you had emailed your professors that you had a family emergency and would be out for the subsequent week. Thankfully they all were accommodating and gave you the materials to study in your absence. Felix hadn’t called or texted regarding your project which soon would be having its mid semester check on your progress. You had done your share and emailed him your part so he could work off of your work, you had practically done all you could to avoid him. But now it felt like you were doing too much, caring too much about someone who you had misjudged as someone who was more caring than their hard outer shell. You had read between the lines of who he was a bit too deeply, you had looked to find some sort of positive in someone who had portrayed himself as harsh and cold. Maybe he was just that, cold, uncaring, harsh, a liar. Yeah that’s what he was, a liar, an expert one at that.

You were lounging in your misery of stuffed animals and rewatches of Legally Blonde as Yeji, the girls, and your newer friend Lily barged into your room. 

“Go away girls, leave me to my misery and Elle Woods’ slaying the courtroom!” You groaned out into your pillow.

“Bitch if you don’t get your ass up! You have a date, no don’t give me that face you need some socialization.” Yeji pulled you out of bed and shoved you into the shower before you could protest. Two hours later your hair and makeup were done, you were dressed in a nice cropped sweater, jeans, and boots and shoved out the door to your demise date.

At the campus coffee shop with your favorite iced chai latte in hand sat Soobin. He was a fellow music marketing student and student musician you’d met through the girls. He was someone you’d known in passing, an acquaintance, not someone you expected yourself on a blind date with. But here you were, laughing at his jokes, cooing over photos of his pet hedgehog Odi and enjoying yourself in his company. It felt like getting to know an old friend from years gone by, not like a first date. But you knew in your heart feelings were unlikely to develop. You felt too platonic, too friendly, not flirty, flushed, not like a swarm of butterflies resided in your stomach. You didn’t feel like you did when Felix would offer to rest his jacket across your shoulders when the cold air conditioning of the library would kick on. 

As you sat on your couch talking with Yeji you came to the realization of why it hurt so bad to find out Felix has shit talked you. You liked Felix. His freckles, his smile that would take over his whole face, his blunt sarcastic sense of humor, his playful jabs, his affectionate teasing, you adored it all. 

“Yeji, don’t tell the others please but… I realize why I was so messed up over what happened at Sig Kap.”

“You liked him didn’t you?” She saw your eyes well up with tears as your head fell in what you could only describe as shame. 

“Not just like, I think I fell for him.” She only gave her best sullen smile as she walked across the living room to engulf you in a hug as tears fell like a torrential storm down your cheeks. She softly assured you that you would move on, like you always did when you fought the overwhelming urge to sink into your bed and not get out for days due to the weight of the world crushing your soul. You were strong, but love seemed to fight like a heavyweight champ, hitting you with blows left and right. Chaeryeong walked out of her room as the sound of a broken croak of tearful lament came from you. 

“Y/N baby girl what happened? Did he say something wrong again?” The other girl sat on your left and wrapped her arms around you effectively making you the saddest sandwich ever seen.

“Yeji… I think I really love Felix. I think that’s why I’m so hurt, I owe him a chance to explain himself to me. He looked like bad news but he was the sweetest guy I’ve ever met. I’ve had time to think about it all and I can’t just shut him out, it hurts worse than it helps.” Yeji froze, her comforting hand that had been rubbing your arm ceased, her heart tightened with a sense of urgency. You loved the man that effectively shattered one of her friend’s hearts. You deserved to know what he was like. You NEEDED to know. Before you let him back in, before he broke you more. 

“Y/N did I ever explain why I don’t like Felix?” You shook your head as it rested on her shoulder, her comforting hand resumed rubbing your arm in an almost motherly way. “Remember Heejin? My friend from my hip hop class? They used to talk, like last year. He was like how he was with you, romantic, kind, and sweet. But one day he just drops this bomb. He only saw her as a friend, he lead her on for like ever, they almost made out at the date party SKZ hosted last winter. She was messed up over it for a long time. I don’t want him hurting you more. Also Soobin really liked your date. Did you have a good time?” Her explanation stunned you that you didn’t even register the topic change. Felix was a player. You always picked the wrong guys. You had fallen for an act, a ploy to probably get into your pants and be left in the dust. That’s probably all it was. You shook your head from your spiral of misery and looked over at your friend as she playfully nudged you to encourage you to discuss the date she masterfully put together.

“Soobin was sweet, and really cute! But it felt more like a friendship than a potential relationship. I didn’t really see it going anywhere. On the bright side I think he’s going to make a great friend.” You sighed and sunk more into the couch. The overwhelming urge to cry came over you once again as Chaeryeong and Yeji hugged you tighter and cuddled you. They gently played with your hair and cooed comforting words to you trying to ease the stabbing pain in your chest.

Meanwhile at the SKZ house Chan was consoling a devastated Felix. Weeks had passed and the only word from you he would receive was an email with your slides from your project and some notes on the materials. You had gone from the girl he would destroy a city for to a stranger. It hurt him beyond words, your playful teasing and bubbly affirmations were ripped from his life so abruptly it was like his organs had been ripped out. 

“Chan I fucking love her, I didn’t realize until I lost her. Her friends only see me as a player because of the whole Heejin thing. I wish Heejin just explained that we’re cool now so I have a chance at winning my Bubbles back.” Chan nodded solemnly. 

“I know Lix, I hope she lets you explain soon I hate seeing you like this.”

Jisung overheard the conversation and had an idea, he walked over, bending down he whispered it to Chan with an expression that just screamed that he was some kind of love genius. “Han, that is so stupid it might just work.” Chan called a meeting for the five other house residents to join them at the couches. Operation Y/Nlix was in motion.

As night fell you sat in bed once again sadly watching Legally Blonde. You were about ready to recite the perm monologue as a loud thud of something hitting your window startled you. Going over to gaze out you couldn’t believe your eyes. Out on your apartment complex lawn stood all eight SKZ house residents holding up signs reading Y/N please hear Felix out! We beg! Felix held up his own sign, I know I’m an ass, just one chance please. Once they noticed you were looking at them Changbin cued up a speaker and I Want You Back by the Jackson 5 began blaring out for the whole neighborhood to hear. The girls all piled into your room and gave you the affirmative to go talk to him. You raced down the stairs to run over to the dancing and singing men. 

“Fine! Five Minutes.”

“Y/N uh shit I didn’t think this would work. Okay so I had been having a rough day just after we met and I couldn’t understand how someone could have so much energy and be just so positive all of the time. Your adorable ways of finding some good in everything honestly scared me. That’s why I’d ranted about you. I’m sorry.” He clutched your hands and had tears swelling up in his brown eyes, you gave him a nod and a small sad smile. 

“That doesn’t explain why you never told me about the Heejin situation. Ya know considering I have several mutual friends with her.” 

“Heejin and I talked things out in the spring, she liked me more than I liked her. We discussed how it was a whole misunderstanding.” He paused at your raised brow and doubtful expression. “I’m being serious, it was really a one sided crush and her being genuinely hurt. I understand that finding out someone you liked not liking you back really sucks and how she felt led on. I apologized and we’re cool now, she and I aren’t friends but we’re not enemies either.”

“Mkay I’ll take your word for it for now, you have some work to do to earn my trust back but I’m willing to give you a second chance.” His lanky arms engulfed you and he began rocking you side to side his laugh and smile warmed your heart once again. You knew he would have you falling for him all over again, and the thought didn’t scare you like it used to. It didn’t terrify you, it filled you with hope that your happy ending may actually exist this time around. 

The cool autumnal air began to make you shiver as the seasons changed, the semester’s end was closing in as the days flew by. The warmth of summer’s end was something you yearned for as you pulled your jacket closer to your body, your steps increased in speed as you made your way to the cafe you had met Soobin at previously. He had asked you on another date, one you had thought would be another friendly hang out. What you didn’t seem to realize was that your cheerful disposition had enamored the tall, bespectacled boy. He saw you as a radiant, angelic, hilarious, and of course beautiful girl. Someone whose mission it was to make those around her always happy. His analysis of you wasn’t incorrect by any means, however you were not reciprocative of his feelings. 

To you Soobin was sweet and adorable. His catlike smile, cute laugh, and goofy personality made you feel like he was someone you could be comfortable around. His energy was fairly similar to yours in a way that made you feel like you’d met yourself but as a boy. This made catching feelings for him a challenge for you, so alas Soobin’s crush on you was unrequited. Today, he was going to confess, so he had asked you to join him for coffee.

“Oh Soobin you didn’t have to buy my coffee for me!” You admonished as you sat across from him at the campus coffee shop. The pastel wall decor seemed to give you an angelic glow as he shyly smiled at you. 

“Of course I did angel! I invited you here after all! Now I have something I need to tell you.” You nodded and took a sip of the caramel flavored latte he had picked for you. You let out a soft sigh at the warm feeling it put in your chest after the cold air had frozen your bones during your walk. “Y/N, I-I like you um a lot. You’re beautiful, kind, funny, a wonderful listener, a genuinely wonderful person. I was wondering if I could get the chance to take you on an actual date?” His warm eyes reflected his desire for an affirmation that you reciprocated his emotions. 

“Oh wow Soobin I. I don’t know what to say. You are a wonderful guy, I genuinely do like your friendship a lot! You are someone I like being around. But, I just don’t see you the same way, I’m sorry.” You hung your head down apologetically and looked over to him to make sure he was okay. He nodded and gave you a half smile showing his dimples. You reached across the table for his hands and took them in yours. “I hope we can still be friends! I really like being your friend!” He smiled and nodded at that. You two stood and the tall boy wrapped you in a warm embrace. 

“I would love to still be your friend Y/Nnie you are so sweet.”

Meanwhile outside the cafe stood Felix, his dark attire reflecting the darkness that poured into his heart. He saw the way your face nuzzled into the taller male’s chest and how the pair of you seemed to clutch the other’s clothing to get closer. Who was the boy in the glasses? Why were you hugging him like that? Why did he get to hold you? Why were you smiling up at him like that? Why wasn’t it him? 

Felix’s inner turmoil began to swell as he watched the exchange, he couldn’t tear his eyes away as you and the taller boy interacted so happily. As you pulled away from Soobin your eyes locked with the brooding male’s through the cafe glass. Your eyes widened in surprise as the Australian visibly sighed and began to walk away, his head held low. You quickly excused yourself and bolted after the boy calling his name. 

“Felix! FELIX! WAIT!” His steps only seemed to grow faster as he marched away. Panic began to creep into your mind as you picked up the pace. You grabbed his shoulder and yanked him to a halt via his jacket. His eyes grew steely as he looked at you. 

“Did you just ditch your new boyfriend for me? Not a good look Y/N.” He grumbled as he tried to peel your grip off of him.

“Boyfriend? Huh? Felix, that's Soobin. Ya know? He’s a friend of the girls?” You tilted your head in confusion and scoffed lightly at his conclusion.

“You two looked awfully close. That’s all I’m saying Y/N.” His hair shook and his eyes grew cold and harsh as he cocked his head toward you.

“You almost always never call me by my first name what’s going on with you?” Your eyes grew pleading and you began to wring your hands anxiously as you silently begged for an explanation.

“Y/N, you offered me a very public second chance, then not even a week later I am seeing you acting like another man’s girlfriend. I thought I made it clear to you-” He cut himself off, shaking his head and scuffing the toe of his black combat boot against the ground. He let out a heavy sorrow filled sigh and slowly began to walk away. “Forget it. I’m happy for you, I’ll see you in stats.” Before he could step away your hands caught his wrist and you tugged him toward you. 

“Made what clear to me Felix? You’re jumping to conclusions like it’s an Olympic sport here! I’m confused.” You looked at him, your eyes swimming with hurt and confusion. With Felix everything felt one step forward, five steps back. You never seemed to move past the hurt you both felt from the party incident.

“Y/N don’t. Don’t do this.” His voice was barely a murmur.

“Do what Felix?”

“Don’t make me say it.”

“Say what Felix don’t play games with me.” Your voice grew laced with agitation and annoyance. He wasn’t like this what was going on? Who was this aggravated almost gangster like boy you knew as your friend? Why was he sad yet angry? 

“Please don’t make me admit how fucking in love with you I am.” With that you grabbed his face and pulled him into a heavy tear soaked kiss. Your arms wrapped around his neck as one of his hands found its home holding your waist and the other cupped your cheek. Your lips danced against one another as soft giggles and smiles made the kiss grow more playful. 

“You didn’t think I loved you too Grumpy Pants?” You teased as he sneakily tried to grope your butt with his hand. “Aye paws off the goods mister!” You laughed. 

“Well I clearly wasn’t thinking correctly seeing as you basically just swept me off my feet Bubbles.” He poked your cheek and wrapped his arms around you swaying you side to side gently. The cold autumnal air made you shiver slightly. 

“Y/N! Glad to see you found your person!” Soobin cut into your moment as he called from the cafe doorway. Your cheeks grew flushed as you hid your face into Felix’s neck. The boy just laughed and gave Soobin a nod as an acknowledgment. The next thing you knew your phone in your pocket began buzzing like a swarm of bees as your friends were all informed by the tall dark haired male of what happened. Felix encouraged you to check the texts. The only one that jumped out was Heejin on instagram wishing you well, she said she was happy that you as a mutual friend of hers found happiness. She also said she wanted you and Felix to find happiness together. It was sweet and you sent along your thanks.

The rest of the messages were just congratulatory ones from the SKZ boys and ITZY girls. As well as some teasing from both groups to not make them uncles and aunts any time soon. A smile graced your lips and you tilted your head as to give Felix another chaste kiss. 

“My place or yours baby?” You whispered into his ear. 

“For what angel?” He smirked thinking you were implying a rendezvous.

“Snuggles, video games, avoiding our project, and some snacking! What else?” You laughed as you saw a blush creep across his cheeks. “Oh you pervert! You wanted to hook up? At least ask me to be your girlfriend and buy me dinner first!” You bopped his shoulder and acted all scandalized which made Felix grow even more red faced and he sputtered out apologies mixed with deflections as to not make a scene. 

“Baby! Baby! Okay let’s go get dinner and I’ll get you some flowers and ask you the right way!” 

“Hmph. Fine!”

“Bubbles?”

“Yeah Grumpy Pants?”

“I love you!”

“I love you too! Now come on!!!! I want a penguin plushie and my flowers! Did you know penguins propose with rocks?”

“Your lack of good TV as a kid is showing.”

“HEY!” You both bursted into laughter, ear-to-ear grins stretched across your faces as you looked into one another’s eyes with pure adoration.

All was well, except for the fact that the two of you still had to do math work and not get distracted by your infatuation with the other. But, that’s tomorrow’s problem now isn’t it?