#Tableau Visualisation
Explore tagged Tumblr posts
Text
Industry-Leading Visualization with Tableau Data Visualization
1. User-Friendly Interface: The intuitive design allows anyone to easily start visualizing data.
2. Seamless Integration: Connects easily with various data sources for efficient analysis.
3. Quick Insights: Generate actionable insights within minutes.
4. Integrated Collaboration Tools: Share dashboards and insights with your team effortlessly.
5. Regular Updates: Tableau continuously evolves with new features and improvements.
Want to take your skills to the next level? Join our 1-day Tableau Bootcamp on 2nd November (Online)!
#tableau#tableau software#data visualization#data visualisation#dataviz#software#technology#cavillion#cavillion learning#data analytics#data#tableau online training#tableaudesktop#tableau dashboard#big data#business analytics#data analysis#data science#tableau course#salesforce#Tableau Tutorial#Tableau Visualization#Tableau Training#learn tableau#tableau certification#Tableau Visualisation
1 note
·
View note
Text

Data Visualization Using Tableau,Using Tableau To Visualize Data,Visualization Using Tableau,Tableau For Beginners Data Visualisation,How To Visualize Data Using Tableau,Data Visualization Using Tableau Tutorial,Tableau Visualisation,Data Visualisation With Tableau
#Data Visualization Using Tableau#Using Tableau To Visualize Data#Visualization Using Tableau#Tableau For Beginners Data Visualisation#How To Visualize Data Using Tableau#Data Visualization Using Tableau Tutorial#Tableau Visualisation#Data Visualisation With Tableau
0 notes
Text
Cultivez votre abondance intérieure et attirez la prospérité dans votre vie
đž Comment vivre une vie riche ? đ€Cliquez ci-dessous đđ»â pour en savoir plus et cheminer sur la voie de l'amour inconditionnel. ââšđâ
Comment attirer la prospĂ©ritĂ© dans sa vie ? Vaste question, me direz-vous⊠Dâautant plus que beaucoup de croyances limitantes apparaissent sur ce chemin. La quĂȘte de lâabondance est une dĂ©marche personnelle passant par une exploration profonde de soi-mĂȘme. Dans cet article, nous donnerons des pistes pour cultiver une mentalitĂ© dâabondance, attirer la prospĂ©ritĂ©, et harmoniser nos Ă©nergiesâŠ

View On WordPress
#abondance#amour de soi#amour inconditionnel#chakra#croyances limitantes#lithothérapie#méditation#sérénité#tableau de visualisation
0 notes
Text
Using Tableau for Data Visualisation - A Guide 2023
Data visualization is a powerful tool that enables us to visually depict complex data, making it easier to grasp and interpret Tableau
0 notes
Text
Hi Friends,
Tableau is a trending BI tool in current job market which allows us to convert data into pictorial representation. To know more about it, please check out this tutorial. It helps you to understand what Tableau is , how and where it can be used. How easy it is to plug in and use this tool for your analysis and get business insights in few minutes.
Don't forget to like , share and subscribe. Thanks for watching. Have a nice day :)
#tableaudesktop#tableau software#tableautraining#youtube#tableaututorials#tableau#business intelligence#technology#data analytics#data visualisation#datavisualization
1 note
·
View note
Text
New rituel 2025
 Rituel Matinal (1h30) :
Méditation guidée (10 min)
Pleine conscience ou gratitude avec respiration profonde.
Gratitude & Journal de bord (10 min)
Listez 5 choses pour lesquelles vous ĂȘtes reconnaissant(e).
Ăcrivez vos ressentis et intentions dans votre journal.
EFT & Ho'oponopono (10 min)
Tapotements EFT sur un blocage émotionnel.
Pratique de Ho'oponopono : DĂ©solĂ©(e), pardon, merci, je tâaime.
Mantras & Affirmations positives (15 min)
Répétez des mantras et des affirmations positives alignées avec vos objectifs.
La Magie de Rhonda Byrne (10 min)
Lisez la leçon du jour et appliquez lâexercice proposĂ©.
Accords ToltĂšques (10 min)
Lisez et réfléchissez à un Accord ToltÚque à appliquer dans votre journée.
Visualisation & Planning de la journée (15 min)
Notez le planning de la journĂ©e et Ă©valuez celui dâhier.
Visualisez vos objectifs réalisés et utilisez votre tableau de visualisation.
Exercice physique doux (10 min)
Ătirements ou yoga doux pour harmoniser corps et esprit.
Rituel du Soir (40 min) :
Méditation apaisante & Chakras (15 min)
Pratiquez une mĂ©ditation axĂ©e sur la dĂ©tente et lâĂ©nergie des chakras.
Sophrologie (10 min)
Relaxation dynamique avec exercices de respiration et visualisation positive.
Lecture & Réflexion stratégique (15 min)
Lisez des passages des 48 Lois du Pouvoir et des 365 lois de la vie.
Réfléchissez à des applications concrÚtes pour votre vie quotidienne.
2 notes
·
View notes
Text
A ceux qui se sentent bloquer apres avoir fait un shift
J'ai remarquée qu'apres avoir shift, je ne "savais" plus le re-faire. Beaucoup ont ce genre de chose.
On a pas perdue cette capacitée. Cependant, je pense que le cerveau se "protege" de l'inconnue.
Posez-vous cette question : " pourquoi je n'y arrive plus ? " / " qu'est ce qui me bloque ? " / " qui me bloque ? "
Est-ce de la peur ? Peur que cela soit trop réel ? Ralez-vous de nouveau car le "temps" ne va pas "assez vite" ? Voyez-vous cela comme un phenomene ? Quelques choses de magique ?
Bref, le mettez vous au dessus de vous ?
Soufflez.
Oubliez tout cela. Elle n'a de l'importance que si vous en lui donniez !
Ne vous identifiez pas a ces pensĂ©es. Vous ĂȘtes pure conscience, le SOI imperissable, sans limite ! Vous ĂȘtes partout ! Infini ! Le mental (l'esprit) n'existe pas ! L'Ă©go n'existe pas !
Le SOI a t-il des blocages ? A t-il peur ? Parce qu'il a vu la 3D ??
Non !
Les dernieres fois que j'ai shifté, j'ai fait ceux-ci :
Me concentre sur ma DR
Je pense pas aux processus
Je me relaxe a fond et vais dans le Soi
J'affirme, tout en vivant la fin " le shift est naturelle, simple et sans effort " , " ça y est, j'y suis " , " je suis dans ma realité " tout en me visualisant gratter mes jambes. (Je me concentre que sur cette sensation).
Je lache prise la 3D et l'oublie, j'en suis indifferente
Tout viens de moi
J'ai shift
L'instant oĂș j'ai lachĂ© prise la 3D, j'ai sentie la piece bouger. Et cela m'a fait paniquĂ©.
Pourquoi ?
Car le cerveau se protége. Il a peur de l'inconnue. Du danger qu'il peut avoir. Tout ce qui est nouveau est signe de danger pour lui.
Mais n'oubliez pas, vous ĂȘtes le Soi. Les peurs, danger ect.. appartiennent Ă l'Ă©go de cette rĂ©alitĂ©. Cela ne vous concerne pas ! Vous ĂȘtes au-dessus de cela !
Posez-vous cette question " comment le Soi peut-il ĂȘtre bloquer par sa propre crĂ©ation ? "
Il ne l'est pas.
Il y a 1h, j'ai refais la mĂȘme chose. La mĂȘme methode. Cependant, je n'ai pas lachĂ© prise et donc, je n'ai pas shiftĂ©. J'ai mis cela sur un "piedestale" au vieux de le traiter comme quelques choses de banales car j'Ă©tais toute contente et avais hĂąte de le re-faire. Je dis ceux-ci pour vous montrez que je suis comme vous !
Dans ces moments lĂ , je me pose, inspire, expire, rentre dans le Soi et fait l'auto-investigation. Je me suis rendue-compte que je me limitais.
Prenez du recule sur la 3D ! Elle est neutre et n'existe pas ! Elle n'a aucun pouvoir ! Ne mettez pas non plus votre DR sur un pedestals. Elle est également neutre !
Lachez prise la 3D, ne vous accrochez pas. Elle se porte bien quand vous dormez !
Certe, c'est rassurant mais, n'ayez crainte, nul danger dans votre DR. Nul danger dans le Soi ! Il n'y a que la paix car vous ĂȘtes Cela ! Ayez foi en l'invisible ! Shiftez d'abord dans un endroit rassurant, calme si cela vous rassure !
Pour ma DR des annĂ©es 40, je shift par exemple soit chez mes grands parents, soit dans un bois oĂș la chaleur regne et oĂș j'entend des oiseaux. C'est rassurant pour moi.
N'oubliez pas : vous devez lacher le tableau Cr pour aller dans votre tableau Dr ! Lacher les rĂ©sistance. Et c'est instantanĂ©e ! Vous ne pouvez pas ĂȘtre conscient de deux rĂ©alitĂ©es Ă la fois ! Revenez dans la Pure Cosncience. Ressentez cette paix, tout est parfait car Dieu connait le chemin ! Et Dieu est bontĂ©, pure bĂ©atitude !
Posez vous cette question : " dans le sommeil profond, oĂș va la 3D ? Qui s'occupe de la 3D ? "
Personne.
Elle s'occupe d'elle-mĂȘme.
" qui dois lacher la 3D ? "
Personne. Qui l'a tenue si vous ĂȘtes Pure Conscience ? La 3D est pure conscience aussi. C'est vous. Tout est Vous !
Recentrez-vous, posez-vous et faite l'auto-investigation. Prenez conscience de votre SOI ! C'est la seul méthode directe ! à chaque pensée qui survient, remettez-la en question. " qui pense cette pensée ? " " je " " qui est ce je ? "
Allez dans le silence. Identifiez-vous au silence qui est le Soi ! Vous ĂȘtes puissant ! Le shift est instantanĂ©e et banal.
Vous ĂȘtes aussi parfait qu'un chiffre non retranscrit en nombre dans l'espace et le temps
3 notes
·
View notes
Text
Learn to Clean, Visualise, and Analyse Real-World Data
In today's digital-first world, learning to work with real-world data is not just a bonus skillâit's a must. Every industry relies heavily on data-driven decision-making, from healthcare to retail, education to finance. But raw data is rarely perfect. To unlock its value, one must know how to clean, visualise, and analyse it effectively.
Even if you're a beginner or an experienced analyst, these tips and tricks will help you reach the level you desire. When going for a data science certification in Pune, it is recommended that oneâs training focuses on the following three areas.
Let me explain each step in detail with real-life examples to make the work easier to understand.
Why Cleaning Data Matters
Also, it is vital and accurate to note that raw data is often filled with various errors, such as missing values and inconsistencies in the results. A lack of cleaning may cause incorrect conclusions when analyzing data, as it will contain irrelevant information.
Real-Life Example:
For your purpose, assume that you have been provided with customer feedback data of an e-commerce platform. It is dangerous to make decisions based on such data because 20% of the email addresses are incorrectly formatted, and 15% of the fields related to feedback data are empty.
Key Steps in Data Cleaning:
Assume safely that there are no redundant values stored in the form; therefore, it is recommended to check and eliminate such entries.
Dealing with missing values can be addressed in different ways, depending on the circumstances that led to the missing data. This can be done by filling in the missing values with the mean, median, or by ignoring them.
Review for errors: These include spelling mistakes, syntax, and the use of incorrect formats, especially in dates.
Check for Coherence: Inability to maintain overall homogeneity, including consistency of units of measurement.
As a learner in the data science training in Pune, you would be able to handle datasets in the training mode, which will enable you to work on live datasets that you are likely to encounter in your working environment.
Visualizing the overwhelming volume of information we come across on the internet can often appear daunting. The task of visualising the vast amount of information one encounters on the internet. The process of making the loads of information more comprehensible.
The second step that follows data cleaning is the visualisation stage. Data presentation for Game Reporting Executives transforms data into a narrative â a method of making information easy to understand and use.
Real-Life Example:
One of the latest up-and-coming companies from Pune did the same for tracking customer acquisition costs. Thus, when presented with the data in the form of bar charts and heat maps, they were able to discover that Instagram campaigns yield a 40% better return on investment than email marketing.
Popular Visualisation Tools and Techniques:
Charts and Graphs: Bar charts, pie charts, line graphs, and scatter plots help spot patterns easily.
Dashboards: Create interactive dashboards to monitor KPIs in real-time.
Heatmaps: Useful for understanding intensity across variables, such as customer activity on a website.
Infographics: Simplify large datasets into visually appealing formats for presentations or reports.
Joining a data science course in Pune often gives you access to advanced tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn, helping you master the art of visual storytelling.
Analysing Data: Finding Insights and Driving Decisions
Data analysis is where the magic happens. After cleaning and visualising, the next goal is to extract meaningful insights that can influence real-world decisions.
Real-Life Example:A hospital chain used historical patient data to predict peak admission times. Through regression analysis and time-series forecasting, they optimised staff allocation, reducing patient wait times by 25%.
Standard Data Analysis Techniques:
Descriptive Analysis: Summarising data to understand âwhat happened.â
Diagnostic Analysis: Digging deeper to find out âwhy it happened.â
Predictive Analysis: Using statistical models to forecast âwhat might happen.â
Prescriptive Analysis: Suggesting actions based on predictive outcomes.
As part of a data science certification in Pune, you will engage in projects where you analyse real-world datasets â from predicting sales to identifying customer churn.
Integrating Cleaning, Visualisation, and Analysis: The Complete Process
While each of these steps can be powerful individually, their true strength lies in their integration. A successful data project typically follows a workflow like:
Import and Inspect Data
Clean and Prepare Data
Visualise Trends and Patterns
Analyse and Model Data
Communicate Insights to Stakeholders
If you're pursuing data science training in Pune, you'll likely work on capstone projects where you complete the entire pipeline, simulating real-world workplace challenges.
Tips to Excel at Handling Real-World Data
Practice Regularly: Work on diverse datasets from different industries.
Stay Updated: Learn the latest data cleaning, visualisation, and analysis tools.
Collaborate: Participate in data science communities and hackathons.
Document Your Work: Always keep track of the cleaning and transformation steps for reproducibility.
Many professionals in Pune choose to enhance their skills through a structured data science course in Pune that emphasises practical learning over theory.
Conclusion
Learning to clean, visualize, and analyze real-world data is a transformative skill that can open up numerous career paths. Whether you aim to become a data analyst, data scientist, or business intelligence expert, mastering these three steps is non-negotiable.
Selecting a data science certification in Pune can be the perfect launchpad to build these capabilities. With abundant real-world projects, expert mentorship, and a vibrant tech ecosystem, Pune offers everything an aspiring data professional could wish for.
So, if you're ready to work with real-world messy data, tell compelling data stories through visualisations, and drive powerful decisions through analysis, now is the time to begin your journey. Find the right data science course in Pune and start building the skills that the future demands.
1 note
·
View note
Text
Data Engineer vs Data Analyst vs Data Scientist vs ML Engineer: Choose Your Perfect Data Career!
In todayâs rapidly evolving tech world, career opportunities in data-related fields are expanding like never before. However, with multiple roles like Data Engineer vs Data Analyst vs Data Scientist vs ML Engineer, newcomersâââand even seasoned professionalsâââoften find it confusing to understand how these roles differ.
At Yasir Insights, we think that having clarity makes professional selections more intelligent. Weâll go over the particular duties, necessary abilities, and important differences between these well-liked Data Engineer vs Data Analyst vs Data Scientist vs ML Engineer data positions in this blog.
Also Read: Data Engineer vs Data Analyst vs Data Scientist vs ML Engineer
Introduction to Data Engineer vs Data Analyst vs Data Scientist vs MLÂ Engineer
The Data Science and Machine Learning Development Lifecycle (MLDLC) includes stages like planning, data gathering, preprocessing, exploratory analysis, modelling, deployment, and optimisation. In order to effectively manage these intricate phases, the burden is distributed among specialised positions, each of which plays a vital part in the projectâs success.
Data Engineer
Who is a Data Engineer?
The basis of the data ecosystem is built by data engineers. They concentrate on collecting, sanitising, and getting data ready for modelling or further analysis. Think of them as mining precious raw materialsâââin this case, dataâââfrom complex and diverse sources.
Key Responsibilities:
Collect and extract data from different sources (APIS, databases, web scraping).
Design and maintain scalable data pipelines.
Clean, transform, and store data in warehouses or lakes.
Optimise database performance and security.
Required Skills:
Strong knowledge of Data Structures and Algorithms.
Expertise in Database Management Systems (DBMS).
Familiarity with Big Data tools (like Hadoop, Spark).
Hands-on experience with cloud platforms (AWS, Azure, GCP).
Proficiency in building and managing ETL (Extract, Transform, Load) pipelines.
Data Analyst
Who is a Data Analyst?
Data analysts take over once the data has been cleansed and arranged. Their primary responsibility is to evaluate data in order to get valuable business insights. They provide answers to important concerns regarding the past and its causes.
Key Responsibilities:
Perform Exploratory Data Analysis (EDA).
Create visualisations and dashboards to represent insights.
Identify patterns, trends, and correlations in datasets.
Provide reports to support data-driven decision-making.
Required Skills:
Strong Statistical knowledge.
Proficiency in programming languages like Python or R.
Expertise in Data Visualisation tools (Tableau, Power BI, matplotlib).
Excellent communication skills to present findings clearly.
Experience working with SQL databases.
Data Scientist
Who is a Data Scientist?
Data Scientists build upon the work of Data Analysts by developing predictive models and machine learning algorithms. While analysts focus on the âwhatâ and âwhy,â Data Scientists focus on the âwhatâs next.â
Key Responsibilities:
Design and implement Machine Learning models.
Perform hypothesis testing, A/B testing, and predictive analytics.
Derive strategic insights for product improvements and new innovations.
Communicate technical findings to stakeholders.
Required Skills:
Mastery of Statistics and Probability.
Strong programming skills (Python, R, SQL).
Deep understanding of Machine Learning algorithms.
Ability to handle large datasets using Big Data technologies.
Critical thinking and problem-solving abilities.
Machine Learning Engineer
Who is a Machine Learning Engineer?
Machine Learning Engineers (MLES) take the models developed by Data Scientists and make them production-ready. They ensure models are deployed, scalable, monitored, and maintained effectively in real-world systems.
Key Responsibilities:
Deploy machine learning models into production environments.
Optimise and scale ML models for performance and efficiency.
Continuously monitor and retrain models based on real-time data.
Collaborate with software engineers and data scientists for integration.
Required Skills:
Strong foundations in Linear Algebra, Calculus, and Probability.
Mastery of Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn).
Proficiency in programming languages (Python, Java, Scala).
Knowledge of Distributed Systems and Software Engineering principles.
Familiarity with MLOps tools for automation and monitoring.
Summary: Data Engineer vs Data Analyst vs Data Scientist vs MLÂ Engineer
Data Engineer
Focus Area: Data Collection & Processing
Key Skills: DBMS, Big Data, Cloud Computing
Objective: Build and maintain data infrastructure
Data Analyst
Focus Area: Data Interpretation & Reporting
Key Skills: Statistics, Python/R, Visualisation Tools
Objective: Analyse data and extract insights
Data Scientist
Focus Area: Predictive Modelling
Key Skills: Machine Learning, Statistics, Data Analysis
Objective: Build predictive models and strategies
Machine Learning Engineer
Focus Area: Model Deployment & Optimisation
Key Skills: ML Frameworks, Software Engineering
Objective: Deploy and optimise ML models in production
Frequently Asked Questions (FAQS)
Q1: Can a Data Engineer become a Data Scientist?
Yes! With additional skills in machine learning, statistics, and model building, a Data Engineer can transition into a Data Scientist role.
Q2: Is coding necessary for Data Analysts?
While deep coding isnât mandatory, familiarity with SQL, Python, or R greatly enhances a Data Analystâs effectiveness.
Q3: What is the difference between a Data Scientist and an ML Engineer?
Data Scientists focus more on model development and experimentation, while ML Engineers focus on deploying and scaling those models.
Q4: Which role is the best for beginners?
If you love problem-solving and analysis, start as a Data Analyst. If you enjoy coding and systems, a Data Engineer might be your path.
Published By:
Mirza Yasir Abdullah Baig
Repost This Article and built Your Connection With Others
0 notes
Text
Why Learn Tableau? Here are 5 powerful reasons to get started with this industry-leading tool
1. Industry-Leading Visualization: Transform raw data into stunning visuals!
2. High Demand in Data Analytics: Tableau skills are highly valued in todayâs job market.
3. Actionable Insights in Minutes: Make data-driven decisions faster.
4. User-Friendly Interface: Easy to learn, even for beginners.
5. Boost Your Career: Stand out in data roles and advance your career! Want to take your skills to the next level?
Join our 1-day Tableau Bootcamp on 2nd November (Online)!
#tableau#Learn tableau#Tableau Bootcamp#data analytics#data visualization#software#big data#dataviz#technology#cavillion#cavillion learning#data visualisation#tableau dashboard#tableau software#salesforce#data#tableau community#Tableau Developer#business analytics#businessintelligence
0 notes
Photo
10 outils indispensables pour gérer efficacement votre startup fintech 10 outils indispensables pour gérer efficacement votre startup fintech 1. Trello - Gestion de projet et collaboration Avantages : Interface visuelle, listes et cartes personnalisables, intégrations 2. QuickBooks - Comptabilité et finances Avantages : Suivi des dépenses, facturation, rapports financiers 3. Tableau - Analyse et visualisation de données Avantages : Tableaux de bord interactifs, connexion à de multiples sources de données 4. Slack - Communication d'équipe Avantages : Messagerie instantanée, canaux thématiques, intégrations 5. Zendesk - Service client Avantages : Gestion des tickets, base de connaissances, analyses 6. GitHub - Gestion de code et développement collaboratif Avantages : ContrÎle de versions, revue de code, suivi des problÚmes 7. Stripe - Traitement des paiements Avantages : API flexible, sécurité des https://fr.fintechpolicies.com/10-outils-indispensables-pour-gerer-efficacement-votre-startup-fintech/?utm_source=tumblr&utm_medium=social&utm_campaign=fintech+policies+templates
0 notes
Text

A Complete Guide to Salesforce Consulting Services for Startups and Enterprises
Introduction: Why Businesses Rely on Salesforce Consulting Services
In an increasingly digital world, customer relationships and operational efficiency determine whether a business thrives or struggles. Salesforce, the worldâs #1 CRM platform, empowers companies to streamline operations, improve customer engagement, and drive growth.
But implementing Salesforce effectively isnât just about installing softwareâitâs about aligning the platform with your unique business goals, workflows, and growth strategy.
Thatâs where Salesforce consulting services come in.
Whether you're a fast-growing startup or a large-scale enterprise, working with the right Salesforce Consulting Partner can make all the differenceâespecially in competitive markets like the UK, London, and Germany.
What Are Salesforce Consulting Services? Salesforce consulting services refer to a suite of expert-driven solutions designed to guide businesses through every phase of Salesforce adoption. These services are crucial for making sure that your CRM investment leads to real business results.
Common Salesforce Consulting Services Include:
Salesforce implementation: Is the process of configuring Salesforce products such as Marketing Cloud, Service Cloud, or Sales Cloud.
Customisation & Development: Building custom objects, workflows, and automation tailored to your needs.
Third-party Integration: Connecting Salesforce with ERPs, payment systems, eCommerce platforms, or analytics tools.
Data Migration & Cleansing: Securely transferring data from legacy systems while maintaining data quality.
Training & Support: Ensuring your team is confident using Salesforce with proper onboarding and helpdesk support.
Optimisation & Upgrades: Enhancing the system over time as your business evolves.
Why Startups Need Salesforce Consulting Services Startups are innovative but often lack in-house technical capabilities. Salesforce consulting helps them:
Build a scalable CRM foundation: One that can evolve as the business grows.
Automate daily operations: From lead capturing to email marketing and sales tracking.
Gain deep customer insights: Using reports and dashboards to improve decision-making.
Ensure smooth integrations: With platforms like Mailchimp, QuickBooks, Stripe, or Shopify.
Challenges Startups Face Without Consulting:
Challenge
How Consulting Helps
Limited Technical Resources
Certified consultants handle the implementation and maintenance
Risk of Poor User Adoption
Consultants offer personalised training and change management
High Customisation Needs
Experts build industry-specific workflows and solutions
Budget Constraints
Consultants help you optimise costs through tailored solutions
Why Enterprises Need Salesforce Consulting Services Large companies use Salesforce at scale across multiple departments and regions. Their needs are complex and require expert guidance.
Key Benefits for Enterprises:
Advanced Reporting & Forecasting: Gain insights into customer journeys and sales pipelines.
Global Data Governance: Ensure compliance with GDPR and other regulatory standards.
End-to-End Integration: With tools like SAP, Oracle, Microsoft Teams, and Slack.
Continuous Optimisation: Keep the system aligned with evolving business goals.
AI & Automation: Use Salesforce Einstein to make predictions and automate tasks intelligently.
Top Salesforce Products Startups & Enterprises Should Use
Product
Purpose
Sales Cloud
Automate sales processes and manage pipelines
Service Cloud
Provide superior customer service and support
Marketing Cloud
Automate email, social, and ad campaigns
Commerce Cloud
Manage B2C and B2B online shopping experiences
Experience Cloud
Build customer portals, partner hubs, and apps
Pardot (Account Engagement)
B2B lead nurturing and scoring
Tableau Analytics
Advanced data visualisation and business intelligence
Pro Tip: A Salesforce Consulting Partner can help you choose the right mix of products based on your industry and goals.
How to Choose the Right Salesforce Consulting Partner in the UK, London, or Germany
1. Industry ExperienceChoose a partner with proven experience in your industryâwhether itâs healthcare, fintech, education, or retail.
2. Certified Salesforce ProfessionalsEnsure the partner has certified Salesforce Admins, Developers, Architects, and Consultants.
3. Local Market UnderstandingPartners familiar with European business laws, compliance (like GDPR), and cultural nuances deliver more aligned solutions.
4. Agile & Transparent ProcessYour partner should follow Agile methodology, communicate clearly, and be accountable at every stage.
5. Client Reviews & Case StudiesAlways look for partners with 5-star reviews on platforms like Clutch, [G2], and [TrustPilot].
AwsQuality Technologies checks all these boxes and offers tailored Salesforce solutions for both startups and enterprises in Europe.
Real-World Success: AwsQualityâs Global Impact
đŒ Client in Germany: Helped a logistics company integrate Salesforce with SAP, reducing data processing time by 45%.
đ Startup in London: Implemented Salesforce Essentials and integrated it with Mailchimp, boosting lead conversion by 60%.
đ„ Healthcare SME in the UK: Customised Service Cloud for patient management and built HIPAA-compliant workflows.
Want similar results? Letâs talk â [email protected]
Wrapping-Up: â Your Success Starts with Smart Decisions
In todayâs fast-paced digital landscape, Salesforce is the cornerstone of modern CRM strategies. However, only with professional consultation can its full potential be realised. Whether you're a UK startup aiming for fast deployment or a German enterprise looking to streamline complex workflows, Salesforce Consulting Services offer the personalisation, integration and scalability your business needs to thrive. With certified professionals and deep industry expertise, AwsQuality Technologies stands out as a trusted Salesforce consulting partner across the UK, London and Germany. From enhancing customer engagement to driving automation, their tailored solutions deliver measurable ROI and long-term success. Choosing the right consulting partner not only accelerates your growth but ensures your CRM evolves with your business goals.
đą Ready to transform your business with Salesforce? đĄ Book your free consultation today! đ§ Email: [email protected] đ Website: www.awsquality.com
â
Quick FAQ â Salesforce Consulting Simplified
What exactly do Salesforce consulting partners do? They help businesses plan, implement, customise, and maintain Salesforce so it works perfectly for their unique needsâsaving time and increasing ROI.
Is Salesforce consulting really necessary for startups? Yes! Startups benefit from expert setup, automation, and integrations without needing a full in-house tech team. It sets them up for scalable growth.
What challenges can consulting solve for enterprises? From global compliance (like GDPR) to complex integrations and real-time analytics, consulting ensures large-scale Salesforce deployments run smoothly.
Why choose AwsQuality as a partner? AwsQuality offers tailored solutions, certified experts, and a strong track record in the UK, Germany, and Londonâmaking them a reliable choice for startups and enterprises. Read more- https://medium.com/@thakurjibless/a-complete-guide-to-salesforce-consulting-services-for-startups-and-enterprises-b5b8d7e4ee93
#salesforce#salesforcedevelopment#consulting#salesforceconsultingpartner#companies#salesforceconsultingservices
0 notes
Text
How Data Science Can Skyrocket Your Salary Growth
In modern society, information is power, and businesses will be more than willing to employ people with analytical skills to work on it. This article is good for the person who wants to change their career or just wishes to earn more money, and data science is one of the more rewarding careers. Â
To answer the latter question and understand how data science can increase your income, let us then define some of the key components of data science below. And what actions have to be taken to be able to enter the sphere? In this write-up, I will provide all the information about how data science can augment your earnings if you want to take a Data Science course in Jaipur. Â
Why Data Science Pays So Well Â
1. High Demand and Low Supply Â
With the recent surge in the popularity of data science, the industry is facing a significant shortage of professionals with the requisite skills. Sectors such as finance, healthcare, e-commerce, and IT are leading the charge in hiring data scientists, driving up the salary rates due to this scarcity. Â
For instance, in a report by Glassdoor, data scientists are some of the best-paid tech workers across the world. Data Scientists, right from the fresher's, start with an average package of around 6-8 lakhs per annum, and those who have experience generally earn more than 20 lakhs per annum. Â
If you are already located in Rajasthan and seeking to work on this opportunity, you need to undertake data science training in Jaipur to equip yourself with the right skills and knowledge of the field. Â
 2. Salary Hikes Across Experience Levels Â
In contrast to most professions, data science does not tend to stagnate pay in a few years. Below is a general guide to the wage escalations:Â Â
Entry-Level (0-2 years): âč6-8 LPAÂ Â
Mid-Level (3-5 years): âč12-15 LPAÂ Â
Senior-Level (5+ years): âč20-30 LPAÂ Â
Leadership Positions (10+ years): âč50 LPA and beyond Â
Such a growth pattern is unique to data science and is not commonly found in other domains. Uniqueness often intrigues practitioners in other fields, such as software development or marketing channels, and is pursued for the sake of monetary gains.Â
If you want to fast-track your career, a structured data science course in Jaipur can provide you with hands-on training and help you land high-paying job roles faster. Â
Key Skills That Increase Your Salary in Data Science Â
Not all data science professionals earn the same. Your salary depends on your expertise in key areas like:Â Â
 1. Machine Learning and AI Â
Companies are investing heavily in artificial intelligence and automation. If you specialise in machine learning and deep learning, your salary potential increases significantly. Â
For instance, data scientists with AI expertise earn 20-30% more than those without it. Many data science institutes in Jaipur now offer specialized training in AI and ML, helping professionals land top-tier jobs. Â
 2. Big Data and Cloud Computing Â
With massive amounts of data being generated every second, companies need professionals skilled in handling big data. Tools like Hadoop, Spark, and cloud platforms (AWS, Google Cloud) are highly valued in the industry. Â
If you're considering data science training in Jaipur, look for courses that cover these technologies, as they can significantly boost your employability and salary prospects. Â
 3. Business Intelligence and Analytics Â
Data science isn't just about codingâit's also about deriving actionable insights. If you understand how to translate data into business strategies, your value in the job market increases. Â
Companies prefer data scientists who can:Â Â
Present insights in a way that decision-makers can understand Â
Use visualisation tools like Tableau and Power BIÂ Â
Work on real-world business problems Â
A data science course in Jaipur that includes business intelligence training can help you stand out in the job market. Â
Industries Offering the Highest Salaries in Data Science Â
Your salary also depends on the industry you work in. Some sectors pay significantly higher than others. Â
 1. Finance and Banking Â
Banks and financial institutions use data science for fraud detection, risk analysis, and investment strategies. Professionals in this field often earn between âč12-25 LPA, even at mid-career levels. Â
 2. Healthcare and Pharmaceuticals Â
With AI-driven drug discovery and predictive healthcare models, data science is transforming healthcare. Salaries in this sector are highly competitive, often exceeding âč20 LPA for experienced professionals. Â
 3. E-commerce and Retail Â
Companies like Amazon, Flipkart, and Myntra use data science for recommendation systems, customer behavior analysis, and demand forecasting. Salaries in this sector range from âč8-20 LPA. Â
 4. IT and Software Services Â
Tech giants like Google, Microsoft, and TCS are always on the lookout for skilled data scientists. If you're already in IT and want a pay raise, a data science course in Jaipur can be a great way to transition into higher-paying roles. Â
 How to Maximize Your Salary Growth in Data Science Â
 1. Get Certified from a Reputable Institute Â
Self-learning is excellent, but structured training accelerates your career. Many companies prefer candidates who have completed industry-recognized data science training in Jaipur. Â
Before enrolling, compare data science course fees in Jaipur and choose a program that offers:Â Â
Hands-on projects Â
Placement assistance Â
Certifications from recognised organisations Â
 2. Build a Strong Portfolio Â
Employers value practical experience. Work on real-world datasets, participate in Kaggle competitions, and showcase your projects on GitHub. Â
 3. Keep Learning Advanced Tools Â
Data science is an evolving field. Stay updated with:Â Â
New machine learning algorithms Â
Advanced statistical methods Â
Programming languages like Python and RÂ Â
 4. Network and Apply Strategically Â
Engage with the data science community on LinkedIn, attend industry conferences, and apply to companies that value data-driven decision-making. Â
Final Thoughts: Is a Career in Data Science Worth It? Â
If salary growth is a priority for you, data science is one of the best career choices. With high demand, lucrative pay, and diverse career paths, it offers professionals the opportunity to grow financially and professionally. Â
If you're serious about entering this field, enrolling in a data science course in Jaipur can be your first step. Compare data science course fees in Jaipur and choose a program that provides intense industry exposure and hands-on training. Â
With the right skills and a strategic approach, data science can help you achieve substantial salary growth and long-term career success.
0 notes
Text
Best Data Science Course in Laxmi Nagar

Data science is an interdisciplinary and emerging field. It combines mathematics and computing to analyse large and complex data sets. Our degree will give you the skills to turn data into meaningful outcomes. You'll learn to use your analytical and computational skills to interpret, clean, and visualise data confidently. You'll graduate with expertise in the most relevant and innovative data science topics. You'll learn and work alongside leading practitioners in data science - data science and data analytics course.
This program introduces students to different techniques and tools for handling, managing, analyzing, and interpreting data. It is designed for working professionals who are interested in gaining hands-on experience working with data and analyzing it. This program primarily focuses on data management and analysis with introductions to tools such as Oracle SQL, Tableau, Python etc. After completing the program, the students will have a solid foundation for applying advanced statistics and quantitative methods to make informed, effective decisions - Best data science institute in delhi.
The program has also successfully made several collaborations with different institutions and companies that can benefit from it. Students who opt for this program have the option to transfer credits for Masterâs programs with top-ranked universities and gain lateral entry int sem directly. Overall, this is an ideal data science course for beginners as the instructors let you begin with the basics and build up as you progress. When embarking on your data science education journey, evaluate your skill levels, career goals and timelines to pick courses aligning to your learning needs. Youâll also be able to use SQL effectively for targeted analysis by interpreting the structure, meaning, and relationships within the data.
You will engage with a variety of learning materials, such as videos, assessments, and hands-on labs, to familiarize yourself with the tools and analytical skills needed to work with data. Attendance is not just about the studentâs willingness to learn but is also indicative of how the program is conducted to keep the studentâs attention. For more information, please visit our site https://eagletflysolutions.com/Â
0 notes
Text
Top Career Paths After a BBA in Business Analytics
Companies depend on data-driven decision-making to remain competitive in the modern digital era. Business analytics is revolutionising industries worldwide, from forecasting consumer actions to maximising investment returns. A BBA in Business Analytics prepares students to read data, identify patterns, and offer actionable insights that help businesses thrive.
At a BBA college in Noida, students get practical data analysis, visualisation, and strategic decision-making training, equipping them for high-growth professions. If you want to know what opportunities lie after this degree, here are your best career choices.
1. Data Analyst
A Data Analyst translates complex data sets to make informed decisions. The finance and e-commerce sectors depend on data analysts to determine trends. They enhance efficiency and provide a better customer experience.
Real-World Example: An SCMS Noida alumnus joined a fintech company, applying data analytics to analyse customer spending patterns and enhance financial products.
2. Business Intelligence Analyst
A Business Intelligence (BI) Analyst converts raw data into insights using Power BI and Tableau software. This is the most important job in companies that want to optimise operations and boost profitability.
Industry Impact: A retail company in Noida maximised its sales strategy using BI dashboards, generating revenue growth of 20%.
3. Marketing Analyst
Marketing Analysts research consumer behaviour, campaign performance, and market trends. As digital marketing takes centre stage, companies require specialists who can optimise marketing strategies and yield high ROI.
Internship Highlight: A student from a BBA college in Noida interned with a digital marketing company, applying analytics to drive SEO rankings and ad conversions.
4. Financial Analyst
Financial Analysts translate market trends, estimate risks, and inform investment strategies. They function in banks, investment banks, and corporate financial departments to increase profitability while decreasing risk.
Success Story: Today, an SCMS Noida graduate assists a stock brokerage firm in optimising investment portfolios through predictive analytics.
5. Operations Analyst
Operations Analysts enhance supply chain effectiveness and recognise bottlenecks in business procedures. The function is highly valued in e-commerce and manufacturing businesses.
Case Study: An Operations Analyst helped an e-commerce company based in Noida minimise delivery times by 30%.Â
6. HR Analytics Specialist
HR Analytics Specialists examine employees' data for better recruitment, retention, and workplace culture. Most IT companies and MNCs hire HR analysts to strengthen data-driven teams.
âIntern in the Spotlight: A student of SCMS Noida interned at a technology firm, assisting them in optimising workforce planning through analytics.
Conclusion
The demand for Business Analytics professionals is skyrocketing across industries. Whether you aim to join a top MNC, work in finance, or start your own business, a BBA in Business Analytics from SCMS Noida gives you the perfect launchpad for success.
If you are ready to build a future-proof career, now is the time to embrace the power of data!
0 notes