Business Analytics

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  • Business Analytics Book Detail

  • Author : Amar Sahay
  • Release Date : 2019-11-08
  • Publisher :
  • Genre : Business & Economics
  • Pages : 406
  • ISBN 13 : 9781631574795
  • File Size : 43,43 MB

Business Analytics by Amar Sahay PDF Summary

Book Description: This business analytics (BA) text discusses the models based on fact-based data to measure past business performance to guide an organization in visualizing and predicting future business performance and outcomes. 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. It brings many terms, tools, and methods of analytics together. The first three chapters provide an introduction to BA, importance of analytics, types of BA-descriptive, predictive, and prescriptive-along with the tools and models. Business intelligence (BI) and a case on descriptive analytics are discussed. Additionally, the book discusses on the most widely used predictive models, including regression analysis, forecasting, data mining, and an introduction to recent applications of predictive analytics-machine learning, neural networks, and artificial intelligence. The concluding chapter discusses on the current state, job outlook, and certifications in analytics.

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Business Analytics

Business Analytics

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This business analytics (BA) text discusses the models based on fact-based data to measure past business performance to guide an organization in visualizing and

Business Analytics, Volume I

Business Analytics, Volume I

File Size : 16,16 MB
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Business Analytics: A Data-Driven Decision Making Approach for Business-Part I,/i> provides an overview of business analytics (BA), business intelligence (BI),

Business Analytics, Volume II

Business Analytics, Volume II

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This business analytics (BA) text discusses the models based on fact-based data to measure past business performance to guide an organization in visualizing and

Data Visualization, Volume II

Data Visualization, Volume II

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This book discusses data and information visualization techniques-the decision-making tools with applications in health care, finance, manufacturing engineering