Business Analytics with Visualisation

Business Analytics & Data Visualisation · Tableau · Power BI · Excel

Business Analytics with Visualisation

Move beyond intuition. Learn to turn raw data into clear, actionable insight — from analytics foundations and data strategy, through exploratory analysis, to visualisation design and compelling visual storytelling that resonates with executives and operational teams alike.

Start reading Browse the syllabus

5

Modules across the analytics journey

58

Topic-wise chapters

3

Industry tools: Tableau, Power BI & Excel

9+

Functional & industry domains applied

What’s inside every chapter

Concepts that build intuition

Each topic opens with the core idea explained plainly — what it is, why it matters, and where it fits in the descriptive-to-prescriptive analytics journey.

Frameworks & models

CRISP-DM, analytics maturity models, KPI frameworks, EDA workflows and dashboard design principles — laid out with tables and diagrams you can reuse.

Visualisation craft

Visual perception, chart selection, colour theory, accessibility and layout — the design discipline that turns charts into clear, honest insight.

Hands-on with the tools

Practical, step-by-step work in Tableau, Power BI and Excel — calculated fields, DAX, Power Query, Power Pivot and interactive dashboards.

Real industry context

Worked applications across marketing, finance, operations, HR, retail, healthcare, manufacturing and technology bring every concept to life.

Storytelling with data

Narrative structure, flow and audience framing so your findings drive understanding and action — not just another dashboard nobody reads.

Browse the modules

The Five-Module Journey

1Business Analytics Foundations & FrameworksDescriptive to prescriptive analytics, maturity models, CRISP-DM, data types & quality, ethics, data strategy, KPIs and ROI 2Visualization Design for Business AudiencesPrinciples of visualisation, visual perception, chart types, colour & accessibility, typography, dashboards and common pitfalls 3Data Analysis for Strategic InsightsData collection & sources, cleaning, transformation, integration, warehousing, EDA, profiling, correlation and time series 4Tableau, Power BI & Excel MasteryTableau proficiency, Power Query & DAX, Power BI service, advanced Excel analytics and BI architecture with ETL pipelines 5Visual Storytelling & Industry ApplicationsStorytelling with data plus functional and industry analytics: marketing, finance, operations, HR, retail, healthcare, manufacturing & tech

Tools & Resources

Full SyllabusThe complete module-and-topic map of the book, module by module Live Analytics LabRun code notebooks, point-and-click statistics and live dashboards in your browser — no install

How to use this book

Read a topic top to bottom the first time: each opens with the core concept, builds up the frameworks with tables and diagrams, shows the tool workflow where relevant, and grounds everything in a real business or industry application. Follow along hands-on in the Live Analytics Lab — run notebooks, statistics and dashboards in your browser with no install. When you want the whole map, the Syllabus page lays out all five modules and every topic in order.

About the Authors

Vijayakumar P is an Educator & Data Analytics Professional with 8+ years in Analytics, AI and HR. UGC-JRF-NET in Management.

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Rani C is an Educator & HR Business Intelligence Professional with 8+ years in HRM and HR Analytics. UGC-NET in Management.

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References

• Storytelling with Data: A Data Visualization Guide for Business Professionals. Knaflic, C. N. (2015). Wiley.
• The Visual Display of Quantitative Information. Tufte, E. R. (2001). (2nd ed.). Graphics Press.
• The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios. Wexler, S., Shaffer, J., & Cotgreave, A. (2017). Wiley.
• Naked Statistics: Stripping the Dread from the Data. Wheelan, C. (2013). W. W. Norton & Company.
• Now You See It: Simple Visualization Techniques for Quantitative Analysis. Few, S. (2009). Analytics Press.
• Data Smart: Using Data Science to Transform Information into Insight. Foreman, J. W. (2013). Wiley.
• Business Analytics: Data Analysis & Decision Making. Albright, S. C., & Winston, W. L. (2019). Cengage Learning.
• Competing on Analytics: The New Science of Winning. Davenport, T. H., & Harris, J. G. Harvard Business Review Press.
• Data Science for Business. Provost, F., & Fawcett, T. O’Reilly Media.
• The Analytics Revolution: How to Improve Your Business by Making Analytics Operational. Franks, B. Wiley.
• Information Dashboard Design: Displaying Data for At-a-Glance Monitoring. Few, S. Analytics Press.