Advanced business analytics

Authors

Vijayakumar P

Rani C

Published

Apr 19, 2026

Welcome

In a world where every business decision is increasingly shaped by data, the ability to convert raw information into evidence-based action has become a defining capability for managers and analysts alike. From customer behaviour and operational performance to market dynamics and risk forecasting, modern organizations now depend on analytical thinking to navigate complexity and stay competitive.

Advanced Business Analytics equips you with the conceptual foundations and practical tools spanning the full analytics spectrum — from understanding and preparing data, through descriptive, exploratory and confirmatory analysis, to predictive modelling techniques such as multiple and logistic regression, mediation, moderation, factor and cluster analysis. The book extends into prescriptive analytics with linear and integer programming, network optimization and simulation, with implementations grounded in R for hands-on application.

Whether you are a management student, an aspiring analyst, or a working professional looking to strengthen your decision-making toolkit, this book offers the theoretical grounding and applied skills to use predictive and prescriptive methods confidently on real business problems. By the end, you will be equipped not just to analyze data, but to translate insights into decisions that move organizations forward.

About the Authors

Vijayakumar P is an accomplished educator and data professional with over eight years of teaching and research experience in business analytics, data science, and HR analytics. He is a UGC Junior Research Fellow (JRF) and has qualified the UGC NET and SET in Management multiple times, reflecting his strong academic foundation.

Proficient in Python, R, STATA, SPSS, AMOS, PLS-SEM, Tableau, Power BI, Google Looker Studio, GitHub, and Excel , he has guided students and professionals in transforming data into actionable insights. His teaching spans business analytics using R and Python, HR metrics and dashboards, business forecasting, and business research methods, and he has also developed interactive eBooks to enhance hands-on learning.

Vijayakumar’s work is marked by clarity, precision, and innovation—whether in research, classroom teaching, or applied analytics—making data more accessible, impactful, and meaningful for decision-making.

References

Text Books

  • R in Action: Data Analysis and Graphics with R. Kabacoff, R. I. (2022). Manning Publications.
  • Business Analytics. Evans, J. R. (2nd ed.). Pearson Education.
  • Business Analytics: The Science of Data-Driven Decision Making. Kumar, U. D. (2017). Wiley.

Reference Books

  • Machine Learning Using R. Ramasubramanian, K., & Singh, A. Apress.
  • Business Intelligence: A Managerial Approach. Turban, E., Sharda, R., Aronson, J., & King, D. (2008). Pearson Prentice Hall.
  • Linear Programming with R. Donovan, T. (2020). Handout.
  • Integer Programming with R. Donovan, T. (2020). Handout.
  • Network Optimization. Letkowski, J. (2021). Handout.