About Book
It then develops analytical competencies through descriptive statistics, data visualization, dashboard design, management information systems, probability, inferential statistics, hypothesis testing, and managerial decision-making frameworks. Building on these foundations, the text explores advanced analytical techniques including regression analysis, classification modeling, forecasting, time-series analysis, clustering, customer segmentation, market basket analysis, experimental design, conjoint analysis, text mining, and sentiment analytics.
A distinguishing feature of this book is its strong emphasis on managerial applications rather than mathematical complexity. Each concept is explained using practical business examples, industry illustrations, contemporary frameworks, and real-world corporate scenarios. More than thirty corporate case studies demonstrate how organizations use analytics to solve strategic and operational challenges in marketing, finance, human resources, operations, supply chain management, and digital business environments.
To strengthen practical skills, the book incorporates hands-on Excel-based laboratories covering visualization, dashboard development, hypothesis testing, forecasting, regression analysis, and predictive modeling. These practical exercises enable learners to transform theoretical knowledge into actionable business intelligence and decision support capabilities.
The book is particularly suitable for students of Management, Commerce, Economics, Finance, and other non-technical disciplines who seek to develop analytical thinking without requiring an extensive programming background. It is equally valuable for educators, researchers, executives, and working professionals looking to build competencies in data-driven decision-making. By integrating business research, statistics, analytics, artificial intelligence, data visualization, and managerial interpretation into a single learning framework, Business Analytics for Managers prepares readers to become effective decision-makers in an increasingly data-centric and AI-powered world.
Prof. (Dr.) Parikshit Kala, he is a distinguished academician, researcher, author, and management professional with more than twenty-six years of combined industry and academic experience. He is currently serving as a Professor at the Graduate School of Business, Tula’s Institute, Dehradun, where he has been actively engaged in teaching, research, academic leadership, and student mentoring.
Dr. Kala holds a Ph.D. in Business Management along with an MBA and multiple postgraduate diplomas in Tourism Management, Entrepreneurship Management, and Logistics Management. His diverse academic background, combined with extensive professional experience, has enabled him to develop a multidisciplinary perspective on contemporary business and management education.
Prior to entering academia, he gained valuable industry experience with leading organizations, including PAFEX Pvt. Ltd. and DTDC Pvt. Ltd., where he served in managerial roles. Over the past twenty-one years, he has taught and mentored undergraduate and postgraduate management students in areas such as Marketing Management, Managerial Economics, Services Marketing, Logistics Management, and Strategic Business Studies. He has also guided numerous student research projects, dissertations, and summer internship reports, helping learners connect academic concepts with real-world business challenges.
An active researcher and scholar, Dr. Kala has published numerous research papers in national and international journals and has participated extensively in seminars, conferences, training programmes, and faculty development initiatives. He has contributed significantly to academic governance through his involvement in Research Degree Committees (RDC), Boards of Studies (BOS), examination panels, editorial boards, and curriculum development activities across several universities in India.
Dr. Kala is also the author of a book on Managerial Economics and has served as a recognized research supervisor in the field of management. His commitment to academic excellence has earned him several prestigious recognitions, including the Kalam Ke Sipahi Award for contributions to higher education and the Young Professor of the Year Award. Through his teaching, research, and academic leadership, Dr. Parikshit Kala continues to contribute to the advancement of management education and the development of future business leaders. His blend of industry insights and academic expertise brings a valuable perspective to the study and application of business analytics in managerial decision- making.
In today's data-rich and AI-driven business environment, managers are increasingly expected to make decisions based on evidence rather than intuition. Organizations across industries are leveraging analytics to understand customers, optimize operations, predict future trends, manage risks, and create sustainable competitive advantages. To succeed in such an environment, future managers require not only statistical and analytical knowledge but also the ability to translate data into meaningful business insights.
Business Analytics for Managers has been designed as a comprehensive, application- oriented textbook that bridges the gap between traditional management education and modern analytical thinking. The book introduces students and professionals to the complete analytics journey—from understanding data and research fundamentals to advanced predictive modeling, forecasting, customer analytics, and AI-enabled decision- making. Structured in a progressive and learner-friendly manner, the book begins with the foundations of analytics, business research, data collection, sampling, ethics, governance, and statistical thinking.
About Authors
Manisha Verma is an accomplished academician, trainer, and researcher with more than fifteen years of experience in higher education. She is currently serving as an Assistant Professor at DBS Global University, Dehradun, where she teaches Business Analytics, Data Science, Information Technology, Artificial Intelligence, and related interdisciplinary subjects to management and business students.
She is an Assistant Professor at DBS Global University, Dehradun, Uttarakhand, India, pursuing her Ph.D. in Computer Science and Engineering from DIT University and holds an M.Tech. in Computer Science and Engineering, an M.Sc. in Information Technology, and a Post Diploma in Computer Applications. To strengthen her expertise in analytics and emerging technologies, she has completed the prestigious Executive Programme in Business Analytics and Artificial Intelligence from the Indian Institute of Management Bangalore (IIM Bangalore), along with several advanced faculty development programmes and workshops conducted by leading institutions including IIT Roorkee and IIM Bangalore.
Throughout her academic career, she has been actively involved in curriculum development, student mentoring, academic administration, and industry-oriented training. She has conducted extensive hands-on training sessions in Python, R Programming, Tableau, Power BI, RapidMiner, and Business Intelligence tools, enabling students to develop practical analytical capabilities for real-world business environments.
Her research interests include Business Analytics, Machine Learning, Artificial Intelligence, Data Visualization, Predictive Analytics, and Data-Driven Decision Making. She has presented and published research papers in reputed conferences and journals on topics such as Market Basket Analysis, Machine Learning Applications, Traffic Accident Prediction, and Web Application Security.
Neetika Gupta is an Assistant Professor at Tula’s Institute, Dehradun, with nearly a decade of experience in teaching, research, academic administration, and student mentoring in the fields of Finance and Business Management. She is currently pursuing a Ph.D. in Management (Finance) from and holds an MBA in Finance.
Her areas of expertise include Accounting, Finance, Taxation & Investment Management .She actively contributes to curriculum implementation, accreditation initiatives, and the development of innovative teaching and learning practices.
Neetika's research interests encompass Financial Analytics, Digital Financial Services, Financial Inclusion, Financial Technology (FinTech), Investment Analysis, Tax Reforms, and Sustainable Business Practices. She has presented research papers at national and international conferences on contemporary themes.
Committed to lifelong learning and academic excellence, she has participated in numerous programmes on Artificial Intelligence, Generative AI, Research Methodology and Sustainable Business Innovation. She has also completed various certification courses in AI for Investment and Design Thinking. Her work reflects a strong commitment to advancing management education and developing future-ready business professionals.
Neetika Gupta Co-author Assistant Professor Graduate School of Business Tula's Institute, Dehradun
Prof.(Dr.) Parikshit Kala Co-author Associate Professor Graduate School of Business Tula's Institute, Dehradun
Manisha Verma Author Assistant Professor Doon School of Advanced Computing DBS Global University, Dehradun
Authors: Manisha Verma, Neetika Gupta & Prof. (Dr.) Parikshit Kala
Book Name : Business Analytics for Managers
ISBN : 978-93-92557-35-4
DOI:
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Publisher: Geet Govind Publication
Address: Fatehpur 212 601 Uttar Pradesh
Contact : office@geetgovindpublication.org