Data Analytics for Accounting /
Vernon J. Richardson, Ryan A. Teeter, Katie L. Terrell.
- New York : McGraw-Hill Education, 2019.
- xx, 343 p : .ill. some col ; 26 cm.
This international student edition is for use outside of the U.S. Includes index. Includes a glossary.
Data analytics in accounting and business -- Data preparation and cleaning -- Modeling and evaluation: going from defining business problems and data understanding to analyzing data and answering questions -- Visualization: using visualizations and summaries to share results with stakeholders -- The modern audit and continuous auditing -- Audit data analytics -- Generating key performance indicators -- Financial statement analytics
Data Analytics is changing the business world-data simply surrounds us! With so much data available about each of us (i.e., how we shop, what we read, what we buy, what music we listen to, where we travel, whom we trust, where we invest our time and money, etc.), arguably, there is the potential for analyzing those data in a way that can answer fundamental business and accounting questions and create value. According to the results of 18th Annual Global CEO Survey conducted by PwC, many CEOs put a high value on Data Analytics, and 80 percent of them place data mining and analysis as the second-most important strategic technology for CEOs. In fact, per PwC's 6th Annual Digital IQ survey of more than 1,400 leaders from digital businesses, the area of investment that tops CEOs' list of priorities is business analytics"-- |c Provided by publisher.