Business Analytics Primer (PowerPoint PPTX)

Concise introduction to descriptive, predictive and prescriptive analytics. Also includes brief coverage of analytics applications to demand chains and supply chains, namely Digital Marketing Analytics and Supply Chain Optimization, respectively.

This PPT delves into the core of Business Analytics (BA), emphasizing its role in organizing and managing data modeling and analysis to aid executive decision-making. It outlines the deployment of Descriptive Analytics across various industries, including retail chains, distribution companies, and financial services, highlighting its necessity in multidimensional data analysis for effective business planning. The document also lists key vendors like IBM Cognos, QlikView, and Tableau, providing a comprehensive overview of the tools available for implementing Descriptive Analytics.

Predictive Analytics is explored with a focus on its applications in market segmentation, sales analytics, and marketing mix modeling. This section underscores the importance of predictive tools in optimizing product lines and understanding market dynamics. Vendors such as IBM SPSS Modeller, RapidMiner, and Alteryx are identified, offering insights into the software solutions that facilitate predictive modeling and analysis. The document provides practical examples of how these tools can be utilized to drive business strategies and improve decision-making processes.

Prescriptive Analytics is discussed with examples from oil and gas, supply chain management, and e-commerce. The document highlights the significance of prescriptive tools in optimizing operations and enhancing efficiency. Vendors like IBM ILOG CPLEX and Llamasoft are mentioned, showcasing their capabilities in supply chain optimization and decision analysis. The document also includes case studies on digital marketing optimization and adaptive procurement, demonstrating the real-world applications of prescriptive analytics in various business scenarios.