Predictive Business Analytics
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Predictive Business Analytics
Discover the breakthrough tool your company can use to make winning decisions This forward-thinking book addresses the emergence of predictive business analytics, how it can help redefine the way your organization operates, and many of the misconceptions that impede the adoption of this new management capability. Filled with case examples, Predictive Business Analytics defines ways in which specific industries have applied these techniques and tools and how predictive business analytics can complement other financial applications such as budgeting, forecasting, and performance reporting. Examines how predictive business analytics can help your organization understand its various drivers of performance, their relationship to future outcomes, and improve managerial decision-making Looks at how to develop new insights and understand business performance based on extensive use of data, statistical and quantitative analysis, and explanatory and predictive modeling Written for senior financial professionals, as well as general and divisional senior management Visionary and effective, Predictive Business Analytics reveals how you can use your business's skills, technologies, tools, and processes for continuous analysis of past business performance to gain forward-looking insight and drive business decisions and actions.
Applying Predictive Analytics
This textbook presents a practical approach to predictive analytics for classroom learning. It focuses on using analytics to solve business problems and compares several different modeling techniques, all explained from examples using the SAS Enterprise Miner software. The authors demystify complex algorithms to show how they can be utilized and explained within the context of enhancing business opportunities. Each chapter includes an opening vignette that provides real-life example of how business analytics have been used in various aspects of organizations to solve issue or improve their results. A running case provides an example of a how to build and analyze a complex analytics model and utilize it to predict future outcomes.
Introduction to Business Analytics
"Introduction to Business Analytics" delves into the convergence of data and technology in our digitized world. We explore the significance of business analytics, a field that uses data, statistical analysis, and data mining to understand and improve business performance. We examine how business analytics tools help predict business outcomes by visualizing trends and patterns through forecasting and predictive modeling. These tools are integral to business success, aiding companies in making data-driven decisions. In many contexts, data analysis is the first step in solving business problems, making it crucial for business students to grasp these concepts. This book provides insights into the meaning, scope, tools, and methods of business analytics. We explore advanced business analytics tools used for data analysis and aim to be the primary resource for students, researchers, and anyone interested in the field. The first section covers the foundation of business analytics, including descriptive, predictive, and prescriptive analytics. With simple and easy-to-understand explanations, we cover both basic and advanced business analytics concepts.