Analytics and Big Data for Accountants / Jim Lindell.

Online resource; title from PDF title page (EBSCO, viewed March 29, 2018).

Intro; Title page; Copyright; Overview; Chapter 1 What Are Big Data and Analytics?; Practice Questions; Chapter 2 Big Data History-Big Data Sources and Characteristics; Practice Questions; Chapter 3 What Are the Trends in Big Data?; Practice Questions; Chapter 4 What Are the Strategy and Business Applications of Big Data?; Practice Questions; Chapter 5 Big Data Platforms and Operating Tools; Practice Questions; Chapter 6 Big Data End User and Accounting Tools; Practice Questions; Chapter 7 Examples of Big Data; Practice Questions; Chapter 8 Big Data in the Accounting Department.

Analytics is the new force driving business. Tools have been created to measure program impacts and ROI, visualize data and business processes, and uncover the relationship between key performance indicators, many using the unprecedented amount of data now flowing into organizations. Featuring updated examples and surveys, this dynamic book covers leading-edge topics in analytics and finance. It is packed with useful tips and practical guidance you can apply immediately. This book prepares accountants to: -Deal with major trends in predictive analytics, optimization, correlation of metrics, and big data. -Interpret and manage new trends in analytics techniques affecting your organization. -Use new tools for data analytics. -Critically interpret analytics reports and advise decision makers.