Strategic Analytics and SAS

Using Aggregate Data to Drive Organizational Initiatives

Nonfiction, Computers, Application Software, Business Software
Cover of the book Strategic Analytics and SAS by Randall S. Collica, SAS Institute
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Author: Randall S. Collica ISBN: 9781629604381
Publisher: SAS Institute Publication: September 21, 2016
Imprint: SAS Institute Language: English
Author: Randall S. Collica
ISBN: 9781629604381
Publisher: SAS Institute
Publication: September 21, 2016
Imprint: SAS Institute
Language: English

Use aggregate data to answer high-level business questions! Data miners, data scientists, analytic managers, and analysts who work in all industries will find the insights in Randy Collica's Strategic Analytics and SAS: Using Aggregate Data to Drive Organizational Initiatives invaluable in their work. This book shows you how to use your existing data at aggregate levels to answer high-level business questions. Written in a detailed, step-by-step format, the multi-industry use cases begin with a high-level question that a C-level executive might ask. Collica then progresses through the steps to perform the analysis, including many tables and screenshots to guide you along the way. He then ends each use case with the solution to the high-level question. Topics covered include logistic analysis, models developed from surveys, survival analysis, confidence intervals, text mining and analysis, visual analytics, hypothesis tests, and size and magnitude of analytic effects. Connect the dots between detailed data on your customers and the high-level business goals of your organization with Strategic Analytics and SAS!

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Use aggregate data to answer high-level business questions! Data miners, data scientists, analytic managers, and analysts who work in all industries will find the insights in Randy Collica's Strategic Analytics and SAS: Using Aggregate Data to Drive Organizational Initiatives invaluable in their work. This book shows you how to use your existing data at aggregate levels to answer high-level business questions. Written in a detailed, step-by-step format, the multi-industry use cases begin with a high-level question that a C-level executive might ask. Collica then progresses through the steps to perform the analysis, including many tables and screenshots to guide you along the way. He then ends each use case with the solution to the high-level question. Topics covered include logistic analysis, models developed from surveys, survival analysis, confidence intervals, text mining and analysis, visual analytics, hypothesis tests, and size and magnitude of analytic effects. Connect the dots between detailed data on your customers and the high-level business goals of your organization with Strategic Analytics and SAS!

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