Business Analytics
Business Analytics
Author: Dr. Jitendra Basappa Bhandari
Editor: Dr. Nilesh Anute
ISBN: 978-81-980078-5-8
DOI: https://doi.org/10.59646/ba/275
Date of Publication: September 25, 2024
About the Book:
In today’s data-driven business landscape, organizations require informed decision-making to stay competitive. Business Analytics provides a comprehensive guide to leveraging data analysis and statistical methods for strategic business insights. This book equips readers with the skills to collect, analyze, and interpret complex data, unlocking hidden patterns and opportunities. Through real-world examples, case studies, and hands-on exercises, readers will master key concepts, tools, and techniques in business analytics, including data visualization, predictive modeling, and machine learning. Whether you’re a business professional, analyst, or student, this book empowers you to drive business growth, optimize performance, and make data-informed decisions in an increasingly complex and rapidly changing business environment.
References
- Anute N, Ghewari A, and Raje H (2022) A Study on Positioning Strategies and its Impact on Consumer Behaviour with special reference to Nutritional Products Exclusively meant for Women During Pregnancy, UGC CARE Listed (Group -I) Journal, e-ISSN 2320 –7876, Volume 11, Issue 1, Page no. 253-266.
- Davenport, T. H., & Harris, J. G. (2007). “Competing on analytics: The new science of winning”. Harvard Business School Press.
- Fitz-enz, J. (2010). “The new HR analytics: Predicting the economic value of your company’s human capital investments”. AMACOM.
- Hastie, T., Tibshirani, R., & Friedman, J. (2009). “The elements of statistical learning: Data mining, inference, and prediction” (2nd ed.). Springer.
- Khandagale V, Anute N (2021) A Study on Consumer and Retailer Buying Behaviour with Special Reference to Food and Beverage Products, STM Journals, ISSN: 2231-0398 (Online) ISSN: 2347-9949 (Print) Volume 11, Issue 1, Page no- 5-11.
- Knaflic, C. N. (2015). “Storytelling with data: A data visualization guide for business professionals”. Wiley.
- Lewis, M. (2016). “Marketing data science: Modeling techniques in predictive analytics with R and Python”. Pearson FT Press.
- Narayanan, A., & Bhattacharya, A. (2023). “Big data in finance: Data analytics in financial services and banking”. Wiley.
- Pearl, J., & Mackenzie, D. (2018). “The book of why: The new science of cause and effect”. Basic Books.
- Provost, F., & Fawcett, T. (2013). “Data science for business: What you need to know about data mining and data-analytic thinking”. O’Reilly Media.
- Raghupathi, W., & Raghupathi, V. (2014). “Big data analytics in healthcare: Promise and potential”. Health Information Science and Systems, 2(1), 1-10.
- Sharda, R., Delen, D., & Turban, E. (2019). “Business intelligence, analytics, and data science: A managerial perspective” (4th ed.). Pearson.
- Siegel, E. (2016). “Predictive analytics: The power to predict who will click, buy, lie, or die”. Wiley.
- Simchi-Levi, D., Kaminsky, P., & Simchi-Levi, E. (2007). “Designing and managing the supply chain: Concepts, strategies, and case studies” (3rd ed.). McGraw-Hill/Irwin.
- Winston, W. L. (2014). “Marketing analytics: Data-driven techniques with Microsoft Excel”. Wiley.