#benefits Google Data Studio

[liveblack]

[technofeudalism]

Taller Nepantla: "So where do art and artists stand within this new techno-feudal political landscape?"

1) Artists don’t own anything.

We don’t own the studios. We don’t own the galleries. We don’t own the production of materials. We don’t own the newspapers. We don’t own the art schools and universities. We don’t own the mechanisms of art distribution. We don’t own our work. We don’t even own our own art. Artists have no labor protections and are content to work individually to perpetuate their own myth or pray to the sacred algorithm to go viral. By being atomized we are exactly like a feudal peasant of the Middle Ages, who lives in extreme precariousness giving away part of his crops to his local king. The art world, its industry, its weight, its impact, its trend, everything belongs to other people. Did you know 80% of the art-market is own by a small group of Mega Collectors? Those who control the means of artistic production control the artists.

2) By not owning anything, artists and cultural workers only rent.

We no longer sell handmade works, but instead we sell our hands for work. More and more the creative and artistic sector sells services rather than art. Artists need multiple jobs in order to invest in their art practice. Even more, just as in the feudal stage of history, we work the land in a territory that does not belong to us, the land belongs to the landowner. In this land artists will always pay rent, a tax, to the feudal lord. We use GOOGLE to send emails We upload our art to INSTAGRAM We educate ourselves through YOUTUBE We communicate through TIKTOK We pay to use ADOBE SUIT We buy materials through AMAZON We move through UBER We send files through WETRANSFER Every time we use these platforms, we generate money for the feudal lords.

The art world depends on these platforms, which collect our information and our data, to sell.

When a service is free, our attention is the product. That is, it is impossible for an artist to establish himself as an artist without generating money for the landowners who own the technological platforms. That is, the art world depends on these products. It is impossible to be an artist without using these technologies. Techno-feudalism keeps artists in a situation of -permanent-precariousness dependence on technological platforms. Just like in medieval times, peasants live off the crumbs offered by the crown, living in a house, working on land, and eating food that does not belong to them. Technocapitalists don’t want artists to own the means of artistic reproduction. Technocapitalist instead build a world where everything is rented. Every stage of artistic production from how you imagine an artwork, how you study an artwork, how you draft and artwork, how you build an artwork, how you show an artwork, how you distribute an artwork, how you perceive an artwork, and how you think about an artwork, is all determined by apps and tools which you rented from a tech corporation.

3) Artists SUBSIDIZE the profits of technological platforms.

That is, we pay an inflated price for these services directly from our pockets. The art world depends on the underpaid work of our services. If there were fair wages in the art world, then the entire pyramid wuld be destroyed precisely because it depends on the fact that most artists do not earn a fair wage. All the art we produce and share is being used to train algorithms to better sell us products. When a platform is free, like Facebook, Twitter, Instagram, Tumblr, we are the product that is sold. Even more, artists subsidize the entire artworld. We work for free. We work for low wages. We work for exposure. We are the “volunteer army” Jerry Saltz brags about. The artworld benefits from not paying us what we deserve.

4) The entire art world depends on the platforms of the Clouds.

All museums, galleries, fairs, biennials, and auctions depend on the technological infrastructure dominated by feudal landowners. In other words, there is a dependence on these technologies in order to promise an interconnected, cosmopolitan, and immediate “art world.” The feudal landowners who own the technological platforms, having no competition, can impose whatever price they want, and the art world must obey. They can raise prices without losing customers. The price we pay to use TechnoCapitalist services is completely arbitrary. It does not correspond with the quality of the service but rather to the whims of the landlords. One day, black ink for printing is free, the next day it costs $5.99 a month as a part of a subscription package. We are looking at you Anish Kapoor.

5) The algorithm decides what counts as talent as long as it can generate profits.

Algorithms are increasingly deciding what counts as “value.” Major collectors will be able to systematize the works on the market in order to deduce, through algorithms, the value of a work and whether it is a good investment. The algorithm has more power than art critics and art historians. An artist will then adapt to the algorithmic trends of his time, in order to go viral. A work of art that goes viral can change the artist’s life. NFT’s are just one example of techno-feudal experiments in the arts. NFT’s promise decentralization and transparency, but end up replicating the worst aspects of capitalism, feudalism, and what new technologies can do.

In short, the art world is interconnected with techno-feudalism. We artists are technologically and socially dependent on a system that exploits us. It is important to increase media literacy so that artists can build alternative technological systems to cut dependence on monopolistic companies. A king’s mindset is always to grown and conquer. In the end, the artworld’s investment in techno-feudalism will actively bring the destruction of other smaller artworlds in the global south. Techno-feudalism will produce a homogenized, sanitized, apolitical universal art, that privileges creations that protect the artworlds overlords."

[elwenyere]

I saw a post the other day calling criticism of generative AI a moral panic, and while I do think many proprietary AI technologies are being used in deeply unethical ways, I think there is a substantial body of reporting and research on the real-world impacts of the AI boom that would trouble the comparison to a moral panic: while there *are* older cultural fears tied to negative reactions to the perceived newness of AI, many of those warnings are Luddite with a capital L - that is, they're part of a tradition of materialist critique focused on the way the technology is being deployed in the political economy. So (1) starting with the acknowledgement that a variety of machine-learning technologies were being used by researchers before the current "AI" hype cycle, and that there's evidence for the benefit of targeted use of AI techs in settings where they can be used by trained readers - say, spotting patterns in radiology scans - and (2) setting aside the fact that current proprietary LLMs in particular are largely bullshit machines, in that they confidently generate errors, incorrect citations, and falsehoods in ways humans may be less likely to detect than conventional disinformation, and (3) setting aside as well the potential impact of frequent offloading on human cognition and of widespread AI slop on our understanding of human creativity...

What are some of the material effects of the "AI" boom?

Guzzling water and electricity

The data centers needed to support AI technologies require large quantities of water to cool the processors. A to-be-released paper from the University of California Riverside and the University of Texas Arlington finds, for example, that "ChatGPT needs to 'drink' [the equivalent of] a 500 ml bottle of water for a simple conversation of roughly 20-50 questions and answers." Many of these data centers pull water from already water-stressed areas, and the processing needs of big tech companies are expanding rapidly. Microsoft alone increased its water consumption from 4,196,461 cubic meters in 2020 to 7,843,744 cubic meters in 2023. AI applications are also 100 to 1,000 times more computationally intensive than regular search functions, and as a result the electricity needs of data centers are overwhelming local power grids, and many tech giants are abandoning or delaying their plans to become carbon neutral. Google’s greenhouse gas emissions alone have increased at least 48% since 2019. And a recent analysis from The Guardian suggests the actual AI-related increase in resource use by big tech companies may be up to 662%, or 7.62 times, higher than they've officially reported.

Exploiting labor to create its datasets

Like so many other forms of "automation," generative AI technologies actually require loads of human labor to do things like tag millions of images to train computer vision for ImageNet and to filter the texts used to train LLMs to make them less racist, sexist, and homophobic. This work is deeply casualized, underpaid, and often psychologically harmful. It profits from and re-entrenches a stratified global labor market: many of the data workers used to maintain training sets are from the Global South, and one of the platforms used to buy their work is literally called the Mechanical Turk, owned by Amazon.

From an open letter written by content moderators and AI workers in Kenya to Biden: "US Big Tech companies are systemically abusing and exploiting African workers. In Kenya, these US companies are undermining the local labor laws, the country’s justice system and violating international labor standards. Our working conditions amount to modern day slavery."

Deskilling labor and demoralizing workers

The companies, hospitals, production studios, and academic institutions that have signed contracts with providers of proprietary AI have used those technologies to erode labor protections and worsen working conditions for their employees. Even when AI is not used directly to replace human workers, it is deployed as a tool for disciplining labor by deskilling the work humans perform: in other words, employers use AI tech to reduce the value of human labor (labor like grading student papers, providing customer service, consulting with patients, etc.) in order to enable the automation of previously skilled tasks. Deskilling makes it easier for companies and institutions to casualize and gigify what were previously more secure positions. It reduces pay and bargaining power for workers, forcing them into new gigs as adjuncts for its own technologies.

I can't say anything better than Tressie McMillan Cottom, so let me quote her recent piece at length: "A.I. may be a mid technology with limited use cases to justify its financial and environmental costs. But it is a stellar tool for demoralizing workers who can, in the blink of a digital eye, be categorized as waste. Whatever A.I. has the potential to become, in this political environment it is most powerful when it is aimed at demoralizing workers. This sort of mid tech would, in a perfect world, go the way of classroom TVs and MOOCs. It would find its niche, mildly reshape the way white-collar workers work and Americans would mostly forget about its promise to transform our lives. But we now live in a world where political might makes right. DOGE’s monthslong infomercial for A.I. reveals the difference that power can make to a mid technology. It does not have to be transformative to change how we live and work. In the wrong hands, mid tech is an antilabor hammer."

Enclosing knowledge production and destroying open access

OpenAI started as a non-profit, but it has now become one of the most aggressive for-profit companies in Silicon Valley. Alongside the new proprietary AIs developed by Google, Microsoft, Amazon, Meta, X, etc., OpenAI is extracting personal data and scraping copyrighted works to amass the data it needs to train their bots - even offering one-time payouts to authors to buy the rights to frack their work for AI grist - and then (or so they tell investors) they plan to sell the products back at a profit. As many critics have pointed out, proprietary AI thus works on a model of political economy similar to the 15th-19th-century capitalist project of enclosing what was formerly "the commons," or public land, to turn it into private property for the bourgeois class, who then owned the means of agricultural and industrial production. "Open"AI is built on and requires access to collective knowledge and public archives to run, but its promise to investors (the one they use to attract capital) is that it will enclose the profits generated from that knowledge for private gain.

AI companies hungry for good data to train their Large Language Models (LLMs) have also unleashed a new wave of bots that are stretching the digital infrastructure of open-access sites like Wikipedia, Project Gutenberg, and Internet Archive past capacity. As Eric Hellman writes in a recent blog post, these bots "use as many connections as you have room for. If you add capacity, they just ramp up their requests." In the process of scraping the intellectual commons, they're also trampling and trashing its benefits for truly public use.

Enriching tech oligarchs and fueling military imperialism

The names of many of the people and groups who get richer by generating speculative buzz for generative AI - Elon Musk, Mark Zuckerberg, Sam Altman, Larry Ellison - are familiar to the public because those people are currently using their wealth to purchase political influence and to win access to public resources. And it's looking increasingly likely that this political interference is motivated by the probability that the AI hype is a bubble - that the tech can never be made profitable or useful - and that tech oligarchs are hoping to keep it afloat as a speculation scheme through an infusion of public money - a.k.a. an AIG-style bailout.

In the meantime, these companies have found a growing interest from military buyers for their tech, as AI becomes a new front for "national security" imperialist growth wars. From an email written by Microsoft employee Ibtihal Aboussad, who interrupted Microsoft AI CEO Mustafa Suleyman at a live event to call him a war profiteer: "When I moved to AI Platform, I was excited to contribute to cutting-edge AI technology and its applications for the good of humanity: accessibility products, translation services, and tools to 'empower every human and organization to achieve more.' I was not informed that Microsoft would sell my work to the Israeli military and government, with the purpose of spying on and murdering journalists, doctors, aid workers, and entire civilian families. If I knew my work on transcription scenarios would help spy on and transcribe phone calls to better target Palestinians, I would not have joined this organization and contributed to genocide. I did not sign up to write code that violates human rights."

So there's a brief, non-exhaustive digest of some vectors for a critique of proprietary AI's role in the political economy. tl;dr: the first questions of material analysis are "who labors?" and "who profits/to whom does the value of that labor accrue?"

For further (and longer) reading, check out Justin Joque's Revolutionary Mathematics: Artificial Intelligence, Statistics and the Logic of Capitalism and Karen Hao's forthcoming Empire of AI.

[compellingselling]

Cannes is the ultimate advertising ICYMI

I try to keep up with what's causing the industry to buzz, but every year projects surface at Cannes that I missed. Here are some of my favorites that I didn't know about until they popped up at the 2023 Cannes Creativity Festival.

Chipotle Doppelgänger

While there are a gazillion of combinations of Chipotle's various ingredient options, agency GALE figured out how to tell when two people somewhere in the country placed the exact same mobile order at around the same time and messaged each where their "Chipotle Doppelgänger" was. Search it on Google and you'll see how much organic attention these received. Case study above. Agency: GALE. Lion: Gold, Data-Driven Targeting

Muskrat Magazine "Missing Matoaka"

The cynic in me couldn't help seeing many purposed-driven Cannes entries and winners as desperate attempts at trophies rather than sincere concern for a problem. But I admire this one for being so innovative and clever in how they attempt to counter the inaccuracies in Disney's Pocahontas. (And, okay, I'll admit that it's a stretch that their "client" is a small publication.) Agency: BBDO, Toronto. Lion: Gold, Silver, and Bronze, Brand Experience & Activation; Gold, Radio & Audio

I see Coke

Pepsi arrived to Saudi Arabia before Coke, so they have more share and spend more on media. “In a region where Coke is the challenger and not the leader, there was still one place Coca-Cola owned: movies and TV shows. So, we turned 100 years of product placements on the big screen into an interactive, shoppable experience using voice [Alexa].” Easier said than done. I can’t imagine what it took to pull this off, but it’s a fun idea. They claim that brand awareness increased 234% as a result. Case study here. Agency: VMLY&R. Lion: Silver, Radio & Audio

Opt Ink

McCann’s client wanted to increase the number of Germans who consent to donate their organs. Their ingenious solution: “a free tattoo designed by renowned ink artist Gara” and offered at 250 studios across the country. They promoted it at tattoo conventions, through influencers, and got a ton of free PR. Turns out 25% of Germans already have a tattoo, so they had a built-in audience. Case study here. Agency: McCann Germany. Lions: Gold, Social & Influencer; Silver, Direct; Silver, PR; Bronze, Direct; Bronze, Media.

Clash From The Past

To celebrate Clash of the Clans' 10th anniversary, Wieden + Kennedy created a 20-minute documentary celebrating the make-believe FORTY-year history of the game. This is reminiscent of the "Make-Believe History of Black Star Beer" which was also done by Wieden and also won big in the award shows. But I think it's okay to steal from your own agency's history.

In addition to the 20-minute documentary – which has was produced really well, especially the old commercials – the game makers invited current fans of the game to play games from Clash's make-believe historic origins. Winner of the Grand Prix for Gaming AND Grand Prix for Entertainment. Case study here. Full documentary here.

Cashback for your jersey's back

Just before the 2022 FIFA World Cup, the Brazil national team made the jersey they would be competing in available for purchase by fans. The Nike jersey was the most expensive ever. Flash, "a benefits card" that gives cash back for certain purchases, announced on social that they would reimburse half the cost of the jersey if fans put "Flash" on the back of the jersey instead of a player's name. That's a very clever guerrilla tactic that answered a real problem for fans and got Flash a ton of attention. I won't say it was "free publicity," because they did have to pay out a lot to cover half the cost of the jerseys ordered before Nike's website blocked people from putting "Flash" on their jerseys. Case study here. Agency: FCB Brazil. Lion: Gold, Social & Influencer

Sorriso sponsors Sorriso

Sorriso is the name of a Colgate toothpaste and a big shot football player. “Sorriso” means “smile” in Portuguese. Sorriso (the toothpaste) were able to get their logo on the back of Sorriso's (the soccer star) jersey/kit AND wherever the player’s name appeared on stadium signs and TV screens. Then they did the same for a female player with that last name. I saw this one mentioned as a Cannes contender, but it looks like it didn't win any Lions. Case study here. Agency: VMLY&R.

McDrip

To recruit more young employees to work in their restaurants in Sweden, DDB got a streetwear designer to redesign McDonald's uniform. Even if it's still a hurdle to get teens to work at a fast food restaurant, I bet it increased the chances teens would apply to McDonald's ahead of other fast food joints. Case study here. Examples of TikTok here and here. Lion: Bronze, Social & Influencer.

Hilton Waitographer

To show the lengths they go to serve guests, Hilton in the Middle East brought in a professional photographer to train staff people – especially restaurant servers – how to take good phone photos. By TBWA/RAAD, Dubai. (It didn't win at Cannes, but it was in some coverage of Cannes hopefuls. I'm not going to include a link to the case study because it was silly and overlong.)

[nareshkumartech]

Hosting Game Servers: Cloud vs. Self-Hosted Solutions

In the world of game development, one of the most critical decisions developers face is choosing how to host their game servers. Whether you're building an online multiplayer game or a persistent world, the server infrastructure you choose can directly impact your game's performance, scalability, and player experience. Two main options are available: cloud hosting and self-hosted solutions. Both have their advantages and challenges, and selecting the right one depends on your specific needs.

Cloud Hosting for Game Servers

Cloud hosting refers to renting server space from third-party providers, such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud. These services offer flexible, on-demand server resources that can scale up or down based on player demand.

Benefits of Cloud Hosting

Scalability One of the biggest advantages of cloud hosting is the ability to scale resources automatically based on the number of active players. During peak times, cloud providers can allocate additional servers to prevent lag and downtime, while scaling back when traffic is low.

Reliability Cloud providers typically have robust infrastructure with data centers in multiple regions, reducing the risk of downtime. Many cloud services also offer built-in failover solutions, ensuring minimal disruption during server issues.

Global Reach With cloud hosting, you can deploy servers across the world, ensuring low-latency experiences for players regardless of their location. This is essential for global multiplayer games where players from different regions interact.

Cost Efficiency for Small to Medium Projects For indie developers or small studios, cloud hosting allows you to pay only for what you use. You don’t need to invest upfront in hardware or worry about maintaining a server farm.

Challenges of Cloud Hosting

Ongoing Costs While cloud hosting offers flexibility, it can become expensive over time, especially as your player base grows. The costs of data transfer, server uptime, and storage can add up, particularly for large-scale games.

Dependence on Third-Party Providers Cloud hosting means you're relying on external services for uptime, security, and performance. If there's an issue with the cloud provider, it can affect your game.

Self-Hosting Game Servers

Self-hosting refers to the practice of setting up and maintaining your own physical servers or renting dedicated hardware from a provider, where you have complete control over the hardware and software environment.

Benefits of Self-Hosting

Complete Control Self-hosting gives developers full control over the server environment. You can optimize the hardware, choose specific configurations, and customize the server software to meet your game's exact needs.

Fixed Costs Once the initial investment in hardware is made, self-hosting can be more cost-effective in the long term, especially for large games with steady traffic. You won’t face variable costs that scale with player numbers like you do with cloud hosting.

Customization and Flexibility With self-hosted solutions, you're not restricted to the infrastructure or limits of cloud providers. This gives you more freedom to fine-tune your server setup, security, and performance.

Challenges of Self-Hosting

Infrastructure and Maintenance Self-hosting requires a significant investment in hardware, along with the expertise to manage, secure, and maintain servers. It's a continuous process of monitoring, updates, and troubleshooting.

Limited Scalability Unlike cloud hosting, scaling a self-hosted solution involves purchasing additional hardware or renting more server space. This can lead to longer response times and higher costs during periods of rapid growth.

Geographic Limitations Hosting servers in a specific region can result in high latency for players located far away. Expanding to multiple regions requires significant effort and expense.

Cloud vs. Self-Hosting: Which is Right for You?

Cloud Hosting is ideal for games that require flexibility, scalability, and global reach, especially for projects with fluctuating player bases or rapid growth.

Self-Hosting is better for larger studios or developers who have the infrastructure and resources to manage servers themselves and need complete control over their environment.

The decision between cloud and self-hosted solutions ultimately depends on your specific game’s requirements, your team’s technical expertise, and your budget. Both approaches offer distinct advantages, and many developers opt for a hybrid solution, utilizing cloud servers for scalability while keeping critical infrastructure self-hosted for more control.

Choosing the right server hosting solution is essential to ensuring a smooth, reliable gaming experience for players and a scalable, maintainable backend for developers.

[sranalytics50]

Boost Your Business with Expert Google Analytics Consulting

In today’s digital landscape, data isn’t just valuable — it’s essential. American businesses face unprecedented challenges as consumer behavior shifts dramatically, with most customer journeys now beginning and often ending online. This digital transformation demands real-time insights and data-driven decision-making to stay competitive.

Google Analytics, particularly the new GA4 platform, has emerged as the gold standard for understanding these complex customer journeys. However, maximizing its potential requires expertise that many organizations simply don’t have in-house. 

Why U.S. Businesses Need Google Analytics Consulting Now

The analytics landscape underwent a seismic shift in 2023 when Google sunset Universal Analytics in favor of GA4. This wasn’t a simple update but a complete platform overhaul. Many U.S. companies are still struggling with this transition, losing critical historical data and missing opportunities for deeper insights.

For businesses running multichannel or omnichannel marketing campaigns — as most successful U.S. companies now do — the complexity of proper GA4 setup has increased exponentially. Each touchpoint requires careful configuration to create a cohesive data story.

Privacy regulations continue to tighten across America, with the California Consumer Privacy Act (CCPA) setting stringent standards that many other states are following. Expert Google Analytics consulting ensures your data collection remains compliant while still delivering valuable insights.

Most critically, as digital competition intensifies across every industry, businesses that leverage advanced analytics gain a significant competitive advantage. Those relying on basic, out-of-the-box tracking are increasingly falling behind their more data-savvy competitors.

What Is Google Analytics Consulting?

Google Analytics consulting is the specialized service of optimizing your analytics implementation to deliver accurate, actionable business intelligence. It goes beyond basic installation to create customized tracking solutions aligned with your specific business goals and KPIs.

This service proves especially valuable for:

E-commerce brands seeking a deeper understanding of product performance and customer behavior

Direct-to-consumer businesses navigating complex attribution models

SaaS companies track user engagement and retention metrics

Media outlets measuring content performance and audience development

The core benefits include more intelligent tracking configurations, truly actionable data that drives business decisions, and significantly better ROI from your digital marketing investments.

Key Services Tailored for U.S. Businesses

GA4 Implementation & Migration

Our team expertly handles the transition from Universal Analytics to GA4, preserving historical data where possible and creating a measurement strategy that aligns with your specific business model. We implement advanced event-based tracking to capture granular user behaviors that standard installations miss, giving you deeper insight into how Americans interact with your digital properties.

Google Analytics Audit

Many analytics installations contain critical errors that undermine decision-making. Our comprehensive audits identify data gaps, tracking misfires, and over-reporting issues that may be distorting your view of performance. We also ensure your setup adheres to U.S. data privacy standards, protecting you from potential compliance issues.

E-commerce & Conversion Tracking

For online retailers, we provide enhanced e-commerce setups compatible with all major platforms, including Shopify, WooCommerce, and Magento. Our specialized conversion tracking reveals exactly where customers abandon purchases, allowing you to optimize checkout processes and increase revenue immediately.

Looker Studio Dashboards

Transform complex data into crystal-clear visual reports with custom Looker Studio (formerly Data Studio) dashboards. We create executive-level summaries for leadership teams and investors, alongside detailed operational dashboards for marketing and sales teams — all designed to make data accessible to stakeholders throughout your organization.

Tag Management via Google Tag Manager

Clean, scalable tag management solutions eliminate the need for constant developer involvement. Our Google Tag Manager implementations give marketing teams the independence to launch new tracking initiatives without IT bottlenecks, while maintaining governance and quality control.

Ongoing Consulting & Training

Our relationship doesn’t end with implementation. We provide monthly support packages tailored to U.S. agencies and in-house teams, along with customized training programs designed around your team’s specific workflows and knowledge gaps.

Need to migrate to GA4 or optimize your existing implementation? Explore our Google Analytics Consulting Services

Why Choose SR Analytics as Your U.S. Analytics Partner

SR Analytics brings a proven track record working with American clients across industries — from startup e-commerce brands to enterprise B2B companies. We understand the unique characteristics of U.S. market behavior, the tools American businesses typically use, and the legal landscape that affects data collection and usage.

Our team consists of certified Google Analytics professionals who take a consultative approach rather than a one-size-fits-all methodology. We offer flexible pricing and engagement models suitable for businesses of all sizes, from small local companies to nationwide enterprises.

Case Studies: Data-Driven Success Stories

RevStyle Apparel: This growing DTC fashion brand saw conversion rates increase by 25% after our GA4 migration and enhanced e-commerce implementation. By identifying previously hidden friction points in their customer journey, they made targeted improvements that drove immediate revenue gains.

TechFlow SaaS Platform: Our custom dashboard solution helped this B2B software company streamline reporting processes, saving their marketing team over 10 hours per month while providing more actionable insights to guide their content strategy.

“SR Analytics helped Awe Inspired enhance operational efficiency and inventory management.

Awe Inspired, a fast-growing fine jewelry brand, partnered with SR Analytics to streamline inventory management, improve operational visibility, and support continued business growth.” — Tim Eisenmann, COO, Awe Inspired

Getting Started with SR Analytics

Our streamlined process makes it easy for U.S. companies to elevate their analytics capabilities:

Discovery: We learn about your business goals, current setup, and specific challenges

Audit: We thoroughly assess your existing implementation to identify opportunities

Setup: We implement customized tracking solutions aligned with your objectives

Reports: We deliver intuitive dashboards that make data accessible to all stakeholders

Optimization: We continuously refine your analytics ecosystem for ongoing improvement

Each step includes clear deliverables, transparent timelines, and defined success metrics, ensuring you know exactly what to expect throughout our engagement.

Conclusion

In today’s data-driven business environment, proper analytics implementation isn’t a luxury — it’s a necessity. With consumer behavior evolving rapidly and competition intensifying across digital channels, having expert guidance with Google Analytics provides a distinct competitive advantage.

By partnering with SR Analytics, you’re not just getting technical implementation — you’re gaining a strategic advisor who translates complex data into actionable business intelligence. In a competitive U.S. market, this expertise becomes a catalyst for sustainable growth and increased market share.

Don’t wait until data problems impact your bottom line. Take proactive steps now to ensure your business is making decisions based on accurate, comprehensive analytics.

Ready to Transform Your Analytics?

Schedule Your Free Consultation Today

[digicrusaderaimarketplace]

Unlocking Growth: The Best AI Tools for Small Businesses in 2025

Artificial intelligence (AI) is no longer the exclusive playground of tech giants. Today, AI tools are empowering small businesses to compete, grow, and innovate faster than ever. Whether you're a solopreneur or a team of 50, AI offers scalable solutions to streamline operations, enhance marketing, improve customer service, and even boost creativity.

This blog explores how small businesses can use AI tools, what categories are most impactful, and which tools are worth considering in 2025.

Why AI Matters for Small Businesses

Running a small business means wearing multiple hats—sales, marketing, HR, customer support, finance, and more. AI helps by automating routine tasks, providing data-driven insights, and improving decision-making. The result? More time, reduced costs, and better customer experiences.

Key benefits include:

Efficiency: Automate repetitive tasks like invoicing or customer inquiries.

Personalization: Tailor marketing messages using data insights.

Scalability: Grow without needing to hire extensively.

24/7 Availability: Use AI chatbots for around-the-clock customer support.

Categories of AI Tools for Small Businesses

Let’s break down the key areas where AI can make a significant impact:

1. Customer Support

AI-driven chatbots and help desk software can handle customer queries instantly and round-the-clock, improving satisfaction and reducing response time.

Top Tools:

Tidio: Combines live chat and chatbot support, perfect for eCommerce.

Freshdesk with Freddy AI: Offers automated ticketing and knowledge base suggestions.

Zendesk AI: Intelligent routing and customer interaction summaries.

2. Marketing and Content Creation

Creating content, scheduling posts, and managing email campaigns can be time-consuming. AI tools help automate these tasks while optimizing performance.

Top Tools:

Jasper: AI writing assistant for blog posts, ads, and emails.

Copy.ai: Great for short-form content like captions and product descriptions.

Surfer SEO: Uses AI to help write content that ranks on Google.

Mailchimp with AI: Offers predictive analytics, smart segmentation, and content suggestions.

3. Sales and CRM

AI can help qualify leads, predict customer behavior, and suggest follow-ups.

Top Tools:

HubSpot CRM: AI-powered insights, deal predictions, and automation.

Pipedrive: Uses AI to highlight "hot" deals and optimize pipelines.

Zoho CRM: Offers Zia AI for sentiment analysis and workflow suggestions.

4. Finance and Accounting

Managing finances is crucial and often complex. AI simplifies bookkeeping, expense tracking, and forecasting.

Top Tools:

QuickBooks with AI: Automates categorization and provides cash flow insights.

Xero: Offers smart reconciliation and predictive financials.

Billy (now part of Sunrise): Simple AI-powered invoicing and accounting for freelancers.

5. Human Resources and Recruiting

Finding the right talent can be expensive and time-consuming. AI helps screen resumes, schedule interviews, and assess candidates.

Top Tools:

Breezy HR: Automates job postings and candidate screening.

Hiretual (now HireEZ): AI sourcing assistant for outbound recruitment.

Zoho Recruit: Offers AI matching and resume parsing.

6. Design and Creativity

Even if you’re not a designer, AI can help you create professional graphics, videos, and even brand identities.

Top Tools:

Canva with Magic Studio: AI image editing, background removal, and design suggestions.

Looka: AI-powered logo and branding kit generator.

Lumen5: Turns blog posts into videos automatically.

How to Choose the Right AI Tools

Here’s a quick framework for evaluating AI tools for your business:

Define Your Goals: Are you trying to save time, generate leads, or improve customer satisfaction?

Budget: Many AI tools offer free tiers or low-cost plans suitable for startups.

Integration: Ensure the tool integrates with your existing systems (e.g., CRM, website, email).

Ease of Use: Look for tools with intuitive interfaces and good customer support.

Scalability: Choose tools that can grow with your business.

Real-World Use Cases

Let’s look at how AI tools are helping real small businesses:

E-commerce Brand: A Shopify store uses Tidio to handle customer queries and Jasper to write product descriptions, saving hours per week.

Marketing Agency: A 5-person agency uses Surfer SEO and Jasper to generate optimized content, scaling output without hiring.

Consulting Firm: A solo consultant uses Zoho CRM with Zia to manage leads and follow-ups automatically.

Freelancer: A designer uses Canva’s AI features to speed up content creation for social media and client projects.

Tips for Getting Started

Start Small: Pick one or two areas to test AI—like automating email marketing or using a chatbot.

Measure Results: Use KPIs (like time saved or conversion rates) to evaluate performance.

Train Your Team: AI works best when your team understands how to use it effectively.

Stay Updated: AI tools are evolving fast. Keep an eye out for new features and trends.

What’s Next for AI in Small Business?

In 2025 and beyond, expect even more personalized AI experiences, better voice-based interfaces, and deeper integrations across tools. Generative AI will become standard in everything from business planning to customer service.

We may soon see AI assistants that manage your entire business operations—from scheduling social media posts to negotiating supplier contracts.

Final Thoughts

AI is not just a buzzword; it’s a practical tool that levels the playing field for small businesses. By automating routine tasks and enhancing productivity, AI frees up your time so you can focus on what matters most—growing your business.

If you’re just starting your AI journey, pick one tool, test it, and build from there. The key is to use AI as a partner, not a replacement. With the right tools and strategy, even the smallest business can achieve big results.

[liveblack]

[3idatascraping]

Monitor Competitor Pricing with Food Delivery Data Scraping

In the highly competitive food delivery industry, pricing can be the deciding factor between winning and losing a customer. With the rise of aggregators like DoorDash, Uber Eats, Zomato, Swiggy, and Grubhub, users can compare restaurant options, menus, and—most importantly—prices in just a few taps. To stay ahead, food delivery businesses must continually monitor how competitors are pricing similar items. And that’s where food delivery data scraping comes in.

Data scraping enables restaurants, cloud kitchens, and food delivery platforms to gather real-time competitor data, analyze market trends, and adjust strategies proactively. In this blog, we’ll explore how to use web scraping to monitor competitor pricing effectively, the benefits it offers, and how to do it legally and efficiently.

What Is Food Delivery Data Scraping?

Data scraping is the automated process of extracting information from websites. In the food delivery sector, this means using tools or scripts to collect data from food delivery platforms, restaurant listings, and menu pages.

What Can Be Scraped?

Menu items and categories

Product pricing

Delivery fees and taxes

Discounts and special offers

Restaurant ratings and reviews

Delivery times and availability

This data is invaluable for competitive benchmarking and dynamic pricing strategies.

Why Monitoring Competitor Pricing Matters

1. Stay Competitive in Real Time

Consumers often choose based on pricing. If your competitor offers a similar dish for less, you may lose the order. Monitoring competitor prices lets you react quickly to price changes and stay attractive to customers.

2. Optimize Your Menu Strategy

Scraped data helps identify:

Popular food items in your category

Price points that perform best

How competitors bundle or upsell meals

This allows for smarter decisions around menu engineering and profit margin optimization.

3. Understand Regional Pricing Trends

If you operate across multiple locations or cities, scraping competitor data gives insights into:

Area-specific pricing

Demand-based variation

Local promotions and discounts

This enables geo-targeted pricing strategies.

4. Identify Gaps in the Market

Maybe no competitor offers free delivery during weekdays or a combo meal under $10. Real-time data helps spot such gaps and create offers that attract value-driven users.

How Food Delivery Data Scraping Works

Step 1: Choose Your Target Platforms

Most scraping projects start with identifying where your competitors are listed. Common targets include:

Aggregators: Uber Eats, Zomato, DoorDash, Grubhub

Direct restaurant websites

POS platforms (where available)

Step 2: Define What You Want to Track

Set scraping goals. For pricing, track:

Base prices of dishes

Add-ons and customization costs

Time-sensitive deals

Delivery fees by location or vendor

Step 3: Use Web Scraping Tools or Custom Scripts

You can either:

Use scraping tools like Octoparse, ParseHub, Apify, or

Build custom scripts in Python using libraries like BeautifulSoup, Selenium, or Scrapy

These tools automate the extraction of relevant data and organize it in a structured format (CSV, Excel, or database).

Step 4: Automate Scheduling and Alerts

Set scraping intervals (daily, hourly, weekly) and create alerts for major pricing changes. This ensures your team is always equipped with the latest data.

Step 5: Analyze the Data

Feed the scraped data into BI tools like Power BI, Google Data Studio, or Tableau to identify patterns and inform strategic decisions.

Tools and Technologies for Effective Scraping

Popular Tools:

Scrapy: Python-based framework perfect for complex projects

BeautifulSoup: Great for parsing HTML and small-scale tasks

Selenium: Ideal for scraping dynamic pages with JavaScript

Octoparse: No-code solution with scheduling and cloud support

Apify: Advanced, scalable platform with ready-to-use APIs

Hosting and Automation:

Use cron jobs or task schedulers for automation

Store data on cloud databases like AWS RDS, MongoDB Atlas, or Google BigQuery

Legal Considerations: Is It Ethical to Scrape Food Delivery Platforms?

This is a critical aspect of scraping.

Understand Platform Terms

Many websites explicitly state in their Terms of Service that scraping is not allowed. Scraping such platforms can violate those terms, even if it’s not technically illegal.

Avoid Harming Website Performance

Always scrape responsibly:

Use rate limiting to avoid overloading servers

Respect robots.txt files

Avoid scraping login-protected or personal user data

Use Publicly Available Data

Stick to scraping data that’s:

Publicly accessible

Not behind paywalls or logins

Not personally identifiable or sensitive

If possible, work with third-party data providers who have pre-approved partnerships or APIs.

Real-World Use Cases of Price Monitoring via Scraping

A. Cloud Kitchens

A cloud kitchen operating in three cities uses scraping to monitor average pricing for biryani and wraps. Based on competitor pricing, they adjust their bundle offers and introduce combo meals—boosting order value by 22%.

B. Local Restaurants

A family-owned restaurant tracks rival pricing and delivery fees during weekends. By offering a free dessert on orders above $25 (when competitors don’t), they see a 15% increase in weekend orders.

C. Food Delivery Startups

A new delivery aggregator monitors established players’ pricing to craft a price-beating strategy, helping them enter the market with aggressive discounts and gain traction.

Key Metrics to Track Through Price Scraping

When setting up your monitoring dashboard, focus on:

Average price per cuisine category

Price differences across cities or neighborhoods

Top 10 lowest/highest priced items in your segment

Frequency of discounts and offers

Delivery fee trends by time and distance

Most used upsell combinations (e.g., sides, drinks)

Challenges in Food Delivery Data Scraping (And Solutions)

Challenge 1: Dynamic Content and JavaScript-Heavy Pages

Solution: Use headless browsers like Selenium or platforms like Puppeteer to scrape rendered content.

Challenge 2: IP Blocking or Captchas

Solution: Rotate IPs with proxies, use CAPTCHA-solving tools, or throttle request rates.

Challenge 3: Frequent Site Layout Changes

Solution: Use XPaths and CSS selectors dynamically, and monitor script performance regularly.

Challenge 4: Keeping Data Fresh

Solution: Schedule automated scraping and build change detection algorithms to prioritize meaningful updates.

Final Thoughts

In today’s digital-first food delivery market, being reactive is no longer enough. Real-time competitor pricing insights are essential to survive and thrive. Data scraping gives you the tools to make informed, timely decisions about your pricing, promotions, and product offerings.

Whether you're a single-location restaurant, an expanding cloud kitchen, or a new delivery platform, food delivery data scraping can help you gain a critical competitive edge. But it must be done ethically, securely, and with the right technologies.

[srinivasdigital]

Optimizing Your Website for Search in 2025: SEO Trends That Matter

Introduction

SEO isn’t what it was five years ago and if you’re still relying on outdated tricks, you’re missing the mark. Search engines are smarter, users are savvier, and competition is steeper. So how do you stay ahead in 2025? By embracing the trends that matter. and can master digital marketing.

In this post, we’re cutting through the noise and giving you the real SEO strategies that’ll move the needle this year.

1. Top of Funnel (Awareness): Social Media + SEO

The goal here is visibility. You want people to know your brand exists and care.

SEO You rank for broad keywords and publish helpful, informative content. Think blogs, guides, and infographics.

Social Media You distribute that content through platforms like Instagram, LinkedIn, and Twitter. You use trending topics, reels, and shareable posts to get attention.

Together? SEO brings in organic searchers; social spreads that content further and taps into new audiences.

2. Middle of Funnel (Consideration): PPC + SEO

Now that users know about you, it’s time to educate and convert them.

SEO: Helps you rank for mid-intent keywords like “best CRM tools” or “email marketing tips.”

PPC: Bids on the same or related keywords to ensure visibility, even when SEO hasn’t caught up yet.

Bonus: Use PPC data (like click-through rates and conversion rates) to guide your organic strategy.

3. Bottom of Funnel (Decision): PPC + Retargeting + SEO

The user is ready to act—they just need a nudge.

SEO: You offer comparison pages, testimonials, and detailed product pages optimized for high-intent terms.

PPC: You run branded ads and retarget people who visited your site but didn’t convert.

Social Ads: Serve personalized offers to users based on behavior.

This layered approach builds trust and gives multiple conversion touchpoints.

4. Benefits of Integrating SEO, PPC, and Social

Maximized reach – Reach users at every stage of their journey

Cross-channel insights – Use PPC data to improve SEO, and vice versa

Better ROI – Unified campaigns reduce wasted spend and increase efficiency

Stronger brand recognition – Repetition across platforms builds authority and trust

5. Pro Tips for Integration

Unify messaging: Your voice, offers, and CTAs should feel consistent across all channels.

Share performance data: Let SEO inform PPC. Let PPC inspire content.

Use UTM tags: To accurately track performance across platforms.

Centralize reporting: Dashboards like Google Looker Studio can track all three.

Conclusion: Think Funnel, Not Silos

SEO, PPC, and social media aren’t competitors—they’re teammates.

When you structure your digital marketing funnel with all three working together, you’re not only capturing attention, you’re converting it.

So don’t silo your strategy. Integrate your channels. Think holistically. And watch your results grow.

[nareshkumartech]

How Cloud Technology is Transforming Game Development

The gaming industry is evolving rapidly, and one of the biggest driving forces behind this transformation is cloud technology. From development pipelines to player experiences, the cloud is reshaping how games are created, distributed, and enjoyed. For studios, embracing cloud-based solutions isn’t just a tech upgrade—it’s a strategic advantage that can boost collaboration, scalability, and innovation. In this article, we explore how game development is being revolutionized by the power of the cloud.

1. Streamlined Collaboration Across Teams

Traditional game development often required large, on-premise hardware setups. Developers had to work within physical studios, syncing assets manually and dealing with file versioning headaches. Cloud technology eliminates these constraints by enabling remote collaboration in real time.

With cloud-based version control, storage, and asset management tools, developers, artists, designers, and QA testers can work together from anywhere in the world. Studios can tap into global talent without worrying about infrastructure limitations.

Example tools: Perforce Helix Core Cloud, GitHub, Unity Collaborate, AWS Cloud9

2. Cloud-Based Game Engines and Development Platforms

Many game engines and development tools now offer cloud-hosted services, reducing the need for powerful local machines. Developers can render complex scenes, simulate physics, or compile large projects on cloud servers, drastically speeding up workflows.

Cloud rendering also enables indie developers and small teams to access high-performance tools that were once exclusive to AAA studios.

Example platforms: Unreal Engine Pixel Streaming, Unity Cloud Build, Amazon Lumberyard

3. Global Game Testing and Deployment

Testing a game across multiple regions, devices, and connection types is critical for launch success. Cloud technology allows developers to simulate different environments without setting up physical test labs.

Cloud-based testing platforms automate QA processes, monitor gameplay analytics, and provide instant feedback. Additionally, deploying updates or patches via cloud infrastructure ensures faster rollouts to global player bases.

Benefits:

Faster bug detection

Reduced server downtime

Scalable deployments across platforms

4. Enabling Cloud Gaming and Streaming

On the player side, cloud technology powers the rise of cloud gaming—allowing users to stream games without downloading or installing them locally. Services like Xbox Cloud Gaming, NVIDIA GeForce NOW, and Google Stadia demonstrate how the cloud can deliver high-quality gaming on low-spec devices.

For developers, cloud gaming expands audience reach by removing hardware barriers. Games optimized for cloud streaming can reach casual players who wouldn’t invest in consoles or gaming PCs.

Impact on game development:

Focus on network optimization

UI/UX tailored for various screen sizes

Cross-platform accessibility

5. Scalable Multiplayer and Live Service Infrastructure

Multiplayer gaming relies on servers that can handle dynamic player loads. Cloud infrastructure offers elastic scaling—automatically allocating resources during peak hours and scaling down during off-peak times.

For live service games, cloud technology enables real-time updates, events, leaderboards, and matchmaking without disrupting gameplay. Developers can also leverage data analytics from cloud platforms to fine-tune balance, track engagement, and personalize player experiences.

Popular solutions: Google Cloud for Games, Azure PlayFab, Amazon GameLift

6. Lowering Barriers for Indie Developers

Perhaps one of the most exciting impacts of cloud technology is how it democratizes, Small studios and solo developers can now access enterprise-level tools, storage, and distribution channels without upfront hardware investments.

Cloud-based marketplaces, app stores, and digital distribution platforms make it easier for indie games to launch worldwide with minimal infrastructure costs.

The Future of Cloud in Game Development

Cloud technology isn’t just a support system—it’s becoming the backbone of modern game development. As 5G networks expand and cloud computing grows more powerful, expect deeper integration of cloud AI, machine learning-driven game testing, and even AI-generated content in future games.

For developers, adopting cloud solutions means greater flexibility, scalability, and creative freedom. The studios that leverage these innovations will be best positioned to lead in an increasingly competitive industry.

[sranalytics50]

Unlock Business Growth with Expert Data Visualization Services

Why Data Visualization Services Are Critical for Modern Businesses

In today’s data-driven world, organizations are overwhelmed with large volumes of information. Turning this data into actionable insights is essential. Data visualization services bridge the gap between raw data and strategic decision-making, allowing businesses to understand trends, patterns, and outliers instantly. Through compelling visuals, organizations make smarter, faster decisions that drive performance and profitability.

Our Comprehensive Data Visualization Solutions

We provide a full suite of data visualization consulting services tailored to each client’s unique needs:

Custom Dashboard Development

Our custom dashboards integrate data from multiple sources into a single, intuitive interface. Users can view real-time metrics, KPIs, and reports, enabling them to make data-backed decisions instantly.

Real-Time Analytics Dashboards

Interactive Business Intelligence Reports

Custom KPI Monitoring Panels

End-to-End Power BI Consulting Services

Our Power BI consulting services transform your data into beautiful, interactive visualizations. We assist in:

Power BI implementation and deployment

Data modeling and DAX optimization

Custom Power BI dashboard design

Power BI training and support

Data Integration and ETL Automation

We automate the Extract, Transform, and Load (ETL) processes, ensuring that your visualizations are built on clean, reliable, and up-to-date data from all internal and external systems.

API Integrations

Cloud Data Solutions

Legacy System Migrations

Advanced Analytics and Predictive Visualizations

Going beyond traditional graphs and charts, we integrate machine learning and statistical models into your visualizations to deliver predictive insights and forecasting capabilities.

Predictive Modeling Dashboards

Anomaly Detection Visuals

Trend Forecasting

Key Benefits of Professional Data Visualization Services

Partnering with an expert data visualization services company offers several critical advantages:

Improved Decision Making: Instant understanding of complex datasets.

Enhanced Productivity: Automation reduces manual reporting efforts.

Real-Time Insights: Always stay a step ahead with live dashboards.

Data Democratization: Enable all stakeholders to access meaningful insights.

Reduced Costs: Minimize inefficiencies and improve resource allocation.

Industries We Serve

We specialize in delivering tailored data visualization solutions across industries:

Healthcare: Patient data dashboards, treatment analytics

Finance: Risk analysis visualizations, financial reporting

Retail: Customer behavior analytics, sales trend tracking

Manufacturing: Operational efficiency dashboards, supply chain analytics

Education: Student performance monitoring, administrative dashboards

Why Choose Us for Data Visualization Services?

We are not just another service provider — we are your strategic partners in harnessing the power of data. Here’s what sets us apart:

Certified BI consultants with years of experience

Proven track record in delivering scalable solutions

Client-centric approach with fully customized dashboards

Cutting-edge technologies, including AI and ML integrations

Comprehensive post-deployment support and training

Tools and Technologies We Use

Microsoft Power BI

Tableau

Looker

Google Data Studio

AWS Quick Sight

Python and R for Advanced Visualizations

SQL, Azure, AWS, and Snowflake for Data Warehousing

Get Started with Leading Data Visualization Experts

Empower your business with transformative insights through our best-in-class data visualization services. Contact us today to schedule a free consultation and take the first step toward smarter, data-driven decision-making.

[liveblack]

Benefits of Google Looker Studio | Liveblack

Marketers or Marketing Agencies need to generate reports now and then, and developing reports has always been challenging. When it comes to reporting on marketing activities can be a lengthy task if you need to monitor the data on a day-to-day basis. Or if you prepare the report manually for the whole week or month, this work can be very bothersome.

Even a tiny mistake in the entire report created by you can cause trouble. To create reports and measure performance, there is a need for a tool that collects your data from different platforms and prepares creative reports accordingly.

what is Google Looker Studio?

Google Looker Studio or Data Studio is one tool for creating accurate and tidy reports. Marketing firms collect information about marketing performance and turn it into visuals using documents made in Google Looker Studio. GDS offers many great features that are available for free.

One of Looker Studio’s key features is the potential to display data from multiple data sources in a single visualization. You can draw attention to details from different social media platforms like Facebook, Instagram, YouTube, Google Ads, Google Analytics, Google Search Console, CRM, Google Sheets, and other information from the eCommerce platform.

Benefits of Google Looker Studio

1 — Easy to Use

Google Analytics Looker Studio provides an easy-to-use UI that should help anyone familiar with Google products get started building dashboards. In that sense, it eases your learning curve.

2 — Free of Cost

Google Data Studio is a free tool where marketing agencies don’t need to pay money to create and arrange an account. GDS turns your data into informative, easy-to-read, shared, and fully customizable reports. However, they only let you connect to products and services of Google like Google Sheets, Google Analytics, Google Ads, YouTube, etc.

Google Looker Studio has over 600 connectors that allow marketing agencies to pull data sets from any popular marketing platform, which is a huge plus. Looker Studio connectors can be created, implemented, and assigned for free. This means marketers can create connectors to build interactive dashboards and manage their data.

3 — Links to Several Data Sources

Keeping marketing strategies and different platforms in mind, there are many such sources whose data reports have to be prepared. Looker Studio gives you the advantage that by collecting the data of all the sources in one place, you can also prepare a report that you can share with your client.

You can connect to multiple data sources in a single dashboard using Google Looker Studio. Unifying different data sources from your Google Data Studio dashboard makes creating reports for Social Media Platforms, SEO, or Google Ads simple.

4 — Fully Customizable

Looker Studio allows you to build fully customizable dashboards. You can start with a blank template or use a pre-programmed template; whatever you choose, Looker Studio helps you to create fully detailed and easy-to-understand reports that include data, charts, and widgets, according to your requirements, you can put things in it. You can also opt for colors, fonts, design, and formatting to match your organization’s or your client’s brand.

5 — Informative Report — Easy-to-Understand

Google Looker Studio helps you make your digital marketing services more accessible and faster. Looker Studio allows you to create real-time, dynamic, and informative dashboards that make it easy to collect your data. This means that you can create your reports and send them to the recipients of your choice, and with this, there is also an advantage that whoever you send them to can modify reports as per their requirements.

6 — Blending Data

One of the best features of Looker Studio is that it blends your different data very well. Data blending allows you to mix or combine multiple data sources into a chart or graph. Data blending will enable you to combine data from two platforms into a single graph to see other platforms’ data in a single report, chart, or graph. This way, both data sets are easily consumed instead of creating separate reports.

7 — Easy to Allot Reports

You can easily allot reports in Looker Studio. You can share a link with your team and allow others to read or edit the report. This feature lets you and your team members view and edit reports while sharing them in real time simultaneously. By sharing the report this way, you can save time.

Google Looker Studio creates creative reports tailored to your marketing process so that you can get a comprehensive view of the data taken from two different platforms in one place. It is beneficial in every way and easy to use. You can modify it according to your own and add Widgets too. Google Looker Studio has over 600 connectors that connect the studio to the primary data. Linking your data this way creates a data source.

Liveblack is a firm that strives to expand your company to new heights. Liveblack is one of the best digital marketing agencies in Ahmedabad, where you can get in touch for all of your marketing and design requirements and receive the best outcomes.

[seodigital7]

Top Data Analysis Methods in 2025: A Complete Guide for Beginners and Professionals

🚀 Introduction: Why Data Analysis Methods Matter Today

We live in a world overflowing with data—from social media stats and website clicks to sales transactions and customer feedback. But raw data alone is meaningless. It’s only through the use of data analysis methods that we can extract actionable insights and make informed decisions.

Whether you’re a business owner, student, analyst, or entrepreneur, understanding data analysis methods is no longer optional—it’s essential.

In this article, we’ll explore the most widely used data analysis methods, their benefits, tools, use cases, expert opinions, and FAQs—all written in a human-friendly, easy-to-understand tone.

🔍 What Are Data Analysis Methods?

Data analysis methods are systematic approaches used to examine, transform, and interpret data to discover patterns, trends, and insights. These methods range from simple descriptive statistics to complex predictive algorithms.

By using the right method, businesses and analysts can:

📈 Identify trends

💡 Solve business problems

🔮 Forecast future outcomes

🎯 Improve performance

📘 Types of Data Analysis Methods

Here’s a detailed breakdown of the major types of data analysis methods you should know in 2025:

1. Descriptive Analysis

Goal: Summarize historical data to understand what has happened. Example: Monthly revenue report, user growth trends.

Techniques Used:

Mean, median, mode

Frequency distribution

Data visualization (charts, graphs)

Best Tools: Excel, Tableau, Google Data Studio

2. Exploratory Data Analysis (EDA)

Goal: Explore the dataset to uncover initial patterns, detect outliers, and identify relationships. Example: Discovering patterns in customer purchase history.

Techniques Used:

Box plots, scatter plots, heat maps

Correlation matrix

Data cleaning

Best Tools: Python (Pandas, Matplotlib), R, Power BI

3. Inferential Analysis

Goal: Make predictions or generalizations about a larger population based on sample data. Example: Predicting election results based on sample polling.

Techniques Used:

Hypothesis testing

Confidence intervals

T-tests, chi-square tests

Best Tools: SPSS, R, Python (SciPy)

4. Diagnostic Analysis

Goal: Determine the causes of a past event or outcome. Example: Why did the bounce rate increase last month?

Techniques Used:

Root cause analysis

Regression analysis

Data mining

Best Tools: SQL, Power BI, SAS

5. Predictive Analysis

Goal: Forecast future outcomes based on historical data. Example: Predicting next month’s sales based on seasonal trends.

Techniques Used:

Machine learning (decision trees, random forest)

Time series analysis

Neural networks

Best Tools: Python (Scikit-learn, TensorFlow), IBM Watson

6. Prescriptive Analysis

Goal: Recommend actions based on predicted outcomes. Example: Suggesting product pricing for maximum profitability.

Techniques Used:

Optimization

Simulation modeling

Decision trees

Best Tools: MATLAB, Excel Solver, Gurobi

7. Quantitative Analysis

Goal: Focus on numerical data to understand trends and measure outcomes. Example: Measuring website conversion rates.

Techniques Used:

Statistical modeling

Data aggregation

Regression

8. Qualitative Analysis

Goal: Analyze non-numerical data like text, images, or videos. Example: Analyzing customer reviews or survey responses.

Techniques Used:

Sentiment analysis

Thematic coding

Content analysis

Best Tools: NVivo, Lexalytics, Google NLP API

💼 Use Cases of Data Analysis Methods in the Real World

Here’s how businesses use these methods across industries:

🛍 Retail

Method Used: Predictive & diagnostic

Purpose: Forecast demand, understand sales dips

💳 Banking

Method Used: Inferential & prescriptive

Purpose: Detect fraud, assess risk

🏥 Healthcare

Method Used: Diagnostic & descriptive

Purpose: Patient outcome analysis, treatment optimization

📱 Tech Companies

Method Used: Exploratory & predictive

Purpose: App usage patterns, churn prediction

🛠 Best Tools for Applying Data Analysis Methods

Tool NameKey FeaturesSuitable ForExcelCharts, pivot tables, formulasBeginnersPythonML, EDA, statistical analysisIntermediate to ExpertR LanguageStatistical modeling, data visualizationIntermediateTableauVisual dashboardsBusiness analystsPower BIIntegration with Microsoft appsEnterprisesSQLQuerying large datasetsData engineers

🌟 Real Reviews From Experts

“I started with Excel for simple descriptive analysis and gradually moved to Python for predictive modeling. The transition was smoother than I expected.” – Neha D., Data Analyst at a Startup

“We used prescriptive methods in Power BI to optimize our logistics routes. Saved us 20% in transport costs within three months.” – Arjun K., Supply Chain Manager

“Using EDA methods helped us detect user drop-off points in our app, which we quickly fixed.” – Priya S., UX Designer

📌 Step-by-Step Guide to Choosing the Right Data Analysis Method

Define Your Objective: What do you want to find out?

Identify Data Type: Is it qualitative or quantitative?

Choose Your Tool: Based on your team’s skill level.

Clean the Data: Remove duplicates, null values, outliers.

Apply the Method: Use the appropriate model/technique.

Visualize & Interpret: Create charts to simplify interpretation.

Take Action: Use insights to make data-driven decisions.

❓ Frequently Asked Questions (FAQs)

🔹 Q1. What is the difference between data analysis methods and data analysis techniques?

A: Methods refer to the broad approach (e.g., descriptive, predictive), while techniques are specific tools or processes (e.g., regression, clustering).

🔹 Q2. Which data analysis method should I use as a beginner?

A: Start with descriptive and exploratory analysis. These are easy to learn and highly insightful.

🔹 Q3. Do I need coding skills to use these methods?

A: Not always. Tools like Excel, Tableau, and Power BI require minimal to no coding. For advanced analysis (e.g., machine learning), coding helps.

🔹 Q4. Can I use multiple methods in one project?

A: Absolutely! Many real-world projects use a combination of methods for deeper insights.

🔹 Q5. Which is the most powerful data analysis method?

A: That depends on your goal. For forecasting, predictive analysis is powerful. For decision-making, prescriptive analysis works best.

🧠 Tips to Master Data Analysis Methods in 2025

📝 Take online courses (Coursera, Udemy, DataCamp)

💻 Practice with real datasets (Kaggle, Google Dataset Search)

🧮 Understand the math behind techniques

📊 Visualize findings to communicate better

👥 Collaborate with other analysts and teams

✅ Conclusion: Your Data, Your Power

Data is no longer just for analysts or IT professionals. In 2025, knowing how to use data analysis methods can set you apart in virtually any profession. From optimizing marketing campaigns to launching new products, these methods empower you to make data-driven decisions with confidence.

So whether you’re just starting out or looking to level up, keep experimenting, keep analyzing, and let your data tell the story.

🌐 Read more expert data analysis content at diglip7.com 📩 Have questions? Drop a comment or connect with us for consultation.

[flutterdevs]

A Comprehensive Guide to Flutter App Development

Flutter, Google's UI toolkit, has revolutionized cross-platform mobile app development. Its ability to create beautiful, natively compiled applications for mobile, web, and desktop from a single codebase has captured the hearts of developers worldwide. But where do you begin? This blog post aims to provide a comprehensive overview of Flutter app development, from the basics to advanced concepts.

Read: Top 10 Benefits of Using Flutter for Your Project

1. What is Flutter and Why Choose It?

Flutter is an open-source UI software development kit created by Google. It uses the Dart programming language and provides a rich set of pre-built widgets for creating visually appealing and high-performance applications.

Key Advantages:

Cross-Platform Development: Write code once and deploy it on iOS, Android, web, and desktop.

Hot Reload: See changes instantly without restarting the app, significantly speeding up development.

Rich Widget Library: Flutter's extensive library of customizable widgets allows for stunning UI designs.

Native Performance: Flutter apps are compiled to native code, ensuring optimal performance.

Growing Community: A large and active community provides ample support and resources.

2. Setting Up Your Flutter Environment:

Before diving into coding, you need to set up your development environment. This involves:

Installing the Flutter SDK.

Setting up an IDE (Integrated Development Environment) like VS Code or Android Studio with the Flutter and Dart plugins.

Configuring emulators or physical devices for testing.

3. Understanding the Flutter Architecture:

Flutter's architecture is built around widgets. Everything in Flutter is a widget, from buttons and text fields to entire screens.

Widgets: The basic building blocks of the UI.

Dart: Flutter's programming language, known for its speed and efficiency.

Rendering Engine: Flutter uses Skia, a 2D graphics library, to render UI elements.

Platform-Specific Layers: These layers handle platform-specific functionalities.

4. Building Your First Flutter App:

Let's break down the basic structure of a Flutter app:

main.dart: The entry point of your application.

MaterialApp: A widget that sets up the app's theme and navigation.

Scaffold: Provides a basic app structure with an app bar, body, and floating action button.

Widgets: Text, buttons, image, listviews etc.

Example of a simple "Hello World" app:

Dart

import 'package:flutter/material.dart';

void main() {

  runApp(MyApp());

}

class MyApp extends StatelessWidget {

  @override

  Widget build(BuildContext context) {

    return MaterialApp(

      home: Scaffold(

        appBar: AppBar(

          title: Text('Hello World'),

        ),

        body: Center(

          child: Text('Hello, Flutter!'),

        ),

      ),

    );

  }

}

5. State Management:

State management is crucial for building complex apps. Flutter offers several state management solutions:

setState(): For simple state changes within a single widget.

Provider: A popular package for managing app-wide state.

Bloc (Business Logic Component): A pattern for managing complex state and business logic.

Riverpod: A reactive caching and data-binding solution.

6. Navigation and Routing:

Flutter provides robust navigation tools for managing screen transitions:

Navigator: Used to push and pop routes.

Named Routes: For defining and navigating to routes using strings.

Navigation 2.0: A declarative API for more complex navigation scenarios.

7. Working with APIs and Data:

Most apps require fetching data from external APIs. Flutter provides tools for handling network requests:

http package: For making HTTP requests.

dio package: A powerful HTTP client with interceptors and other advanced features.

FutureBuilder and StreamBuilder: Widgets for handling asynchronous data.

8. Advanced Flutter Concepts:

Animations: Flutter's animation framework allows for creating smooth and engaging UI animations.

Custom Widgets: Building reusable custom widgets to enhance your app's UI.

Plugins and Packages: Leveraging the vast ecosystem of Flutter packages to add functionality.

Testing: Writing unit, widget, and integration tests to ensure app quality.

Deployment: Building and deploying your Flutter app to various platforms.

9. Continuous Learning and Resources:

The Flutter ecosystem is constantly evolving. Stay updated with the latest trends and best practices by:

Following the official Flutter documentation.

Exploring Flutter community forums and blogs.

Taking online courses and tutorials.

Contributing to open-source Flutter projects.

Conclusion:

Flutter offers a powerful and efficient way to build cross-platform applications. By understanding the fundamentals and continuously learning, you can unlock the full potential of this incredible framework. Happy coding!

Need Expert Flutter Development?

If you're looking to build a high-quality, cross-platform Flutter application, but don't have the in-house expertise, we can help. Hire our experienced Flutter developers to bring your vision to life. 

At Getwidget, we specialize in creating robust and scalable Flutter apps tailored to your specific needs.

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Must check out: IoT-Driven Projects Using Flutter: A Comprehensive Guide

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The Best SEO Rank Tracking Tools for 2025

In the ever-evolving world of digital marketing, keeping track of where your website stands in search engine results is more important than ever. Rank tracking tools are vital for businesses that want to monitor SEO performance, understand keyword movement, and outsmart competitors. For a search engine optimisation company Singapore, staying updated with the best tools is not just helpful—it’s essential.

With algorithms changing regularly and search trends shifting fast, 2025 demands smarter, faster, and more accurate tracking solutions. Below are the top SEO rank tracking tools you should be using to ensure your site doesn’t just survive the SERPs—it dominates them.

1. SEMrush

SEMrush is more than just a keyword tracker—it's a comprehensive digital marketing suite. Its position tracking tool is highly detailed and ideal for businesses managing multiple campaigns.

Why it stands out:

Tracks desktop and mobile rankings

Daily updates and visibility trends

Easy-to-read visual graphs

Competitive comparison with rivals

It also integrates well with Google Analytics and Search Console, making it a solid choice for agencies and businesses alike.

2. Ahrefs

Ahrefs is well-known for its backlink analysis, but its rank tracking tool is equally powerful. The dashboard is simple, yet packed with data.

Features include:

Country-specific tracking

SERP feature insights (like featured snippets or site links)

Average position tracking over time

Competitor ranking comparisons

For businesses with a strong focus on long-term SEO strategies, Ahrefs provides a bird’s-eye view of keyword performance.

3. SERPWatcher by Mangools

Mangools has made a name for itself by offering user-friendly tools without compromising on features. SERPWatcher is great for beginners and pros alike.

Highlights:

Interactive rank change tracking

Daily updates

Performance Index to evaluate traffic potential

Location and device-based results

Its clean interface makes it ideal for marketers who want powerful insights without the learning curve.

4. Google Search Console

While not a traditional rank tracking tool, Google Search Console is free and directly from the source—Google itself. It allows you to see how your website performs in actual search results.

Why it’s still relevant in 2025:

Accurate impressions and click data

Insights into average positions for keywords

Mobile usability reporting

Page indexing stats

For a search engine optimisation company Singapore, using GSC alongside paid tools offers a complete SEO picture.

5. AccuRanker

AccuRanker is known for its speed and accuracy. It’s perfect for agencies that manage large numbers of clients and need frequent updates.

Top features:

Instant updates on keyword position

Google SERP and competitor analysis

Tagging and segmentation options

Integration with Data Studio and Google Analytics

It’s designed for scale, making it a favorite among professionals who prioritize speed and depth.

6. Moz Pro

Moz Pro’s rank tracker provides insight into how your site ranks for target keywords and compares it against competitors. It’s an ideal tool for tracking overall SEO health.

Why it’s valuable:

Local and national keyword tracking

Historical rank tracking

Keyword opportunity scores

Page-level performance metrics

Moz also provides actionable recommendations to help improve rankings, which is great for businesses looking to fine-tune their content strategy.

7. SE Ranking

This tool has gained popularity for its accuracy, affordability, and deep feature set. It caters to freelancers, SMBs, and agencies alike.

Benefits include:

Daily ranking updates

On-page SEO audits

Keyword grouping and tagging

Competitor monitoring

It also provides a mobile-friendly dashboard, which is great for marketers on the go.

What to Look for in a Rank Tracking Tool

Not all tracking tools are created equal. When selecting one for your needs, consider the following:

Update frequency: Daily updates are ideal

Device tracking: Check rankings on both desktop and mobile

Location-based tracking: Essential for local SEO campaigns

Integration: Ability to connect with other SEO tools

Competitor tracking: Helps benchmark performance

A reliable tracking tool gives you insights that drive decision-making and ensure that your SEO strategy stays on course.

Conclusion

SEO in 2025 demands agility, precision, and real-time insights. Rank tracking tools are your window into how well your strategy is performing. From giants like SEMrush and Ahrefs to streamlined solutions like SERPWatcher and SE Ranking, there’s a tool for every business size and goal.

For a search engine optimisation company Singapore, investing in the right tracking tools means delivering better results to clients and staying ahead of the ever-competitive digital curve. By using accurate, up-to-date insights, businesses can refine their strategies, boost visibility, and turn search rankings into real growth.