Discover the breakthrough tool your company can use to makewinning decisions This forward-thinking book addresses the emergence of predictivebusiness analytics, how it can help redefine the way yourorganization operates, and many of the misconceptions that impedethe adoption of this new management capability. Filled with caseexamples, Predictive Business Analytics defines ways inwhich specific industries have applied these techniques and toolsand how predictive business analytics can complement otherfinancial applications such as budgeting, forecasting, andperformance reporting. Examines how predictive business analytics can help yourorganization understand its various drivers of performance, theirrelationship to future outcomes, and improve managerialdecision-making Looks at how to develop new insights and understand businessperformance based on extensive use of data, statistical andquantitative analysis, and explanatory and predictive modeling Written for senior financial professionals, as well as generaland divisional senior management Visionary and effective, Predictive Business Analyticsreveals how you can use your business's skills, technologies,tools, and processes for continuous analysis of past businessperformance to gain forward-looking insight and drive businessdecisions and actions.
With the help of this friendly guide, you'll discover the core of predictive analytics and get started putting it to use with readily available tools to collect and analyze data.
The ability to successfully apply predictive analytics enables businesses to effectively interpret big data; essential for competition today This guide teaches not only the principles of predictive analytics, but also how to apply them to ...
How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood.
Stoughton , Chris , Robert H. Lupton , Mariangela Bernardi , Michael R. Blanton , Scott Burles , Francisco J. Castander , A. J. Connolly , Daniel J. Eisenstein , Joshua A. Frieman , G. S. Hennessy , et al .. 2002.
Including comprehensive coverage of an array of predictive analytic tools and techniques, this book enables readers to harness patterns from past data, to make accurate and useful predictions that can be converted to business success.
This groundbreaking book is designed for professionals looking to add value in the new era of demand planning and predictive analytics.
It provides a comprehensive overview of analytics in general with an emphasis on predictive analytics. Given the booming interest in analytics and data science, this book is timely and informative.
The highlights of this volume are: Business analytics at a glance; Business intelligence (BI), data analytics; Data, data types, descriptive analytics; Data visualization tools; Data visualization with big data; Descriptive analytics ...
This technique is called Laplace correction. Laplace correction adds a controlled error in all class conditional probabilities. In the above data set, if the example set contains Outlook = overcast, then P(X|Y = no) = 0.
Drawing on the authors' two decades of experience in applied modeling and data mining, Foundations of Predictive Analytics presents the fundamental background required for analyzing data and building models for many practical applications, ...