Business Analytics: A Data-Driven Decision Making Approach for Business-Part I provides an overview of business analytics (BA), business intelligence (BI), and the role and importance of these in the modern business decision-making. The book discusses all these areas along with three main analytics categories: descriptive, predictive, and prescriptive analytics with their tools and applications in business. This volume focuses on descriptive analytics that involves the use of descriptive and visual or graphical methods, numerical methods, as well as data analysis tools, big data applications, and the use of data dashboards to understand business performance. 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-numerical methods Case analysis with computer applications Ancillary data sets and more available for downloading on the publisher's website.
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Amar Sahay, Founder and Principal of QMS Global, LLC.
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Paperback. Zustand: New. This book deals with Business Analytics (BA) - an emerging area in modern business decision making. Business analytics is a data driven decision making approach that uses statistical and quantitative analysis along with data mining, management science, and fact-based data to measure past business performance to guide an organization in business planning and effective decision making. Business Analytics tools are also used to predict future business outcomes with the help of forecasting and predictive modeling.In this age of technology, massive amount of data are collected by companies. Successful companies use their data as an asset and use them for competitive advantage. Business Analytics is helping businesses in making informed business decisions and automating and optimizing business processes.Successful business analytics depends on the quality of data. Skilled analysts, who understand the technologies and their business, use business analytics tools as an organizational commitment to data-driven decision making. Artikel-Nr. LU-9781631573316
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