Analytics and big data for accountants / by Jim Lindell
By: Lindell, Jim [author]
Publisher: Durham, North Carolina : Association of International Certified Professional Accountants, Inc. 2020Description: 1 online resource (various paging)Content type: text Media type: computer Carrier type: online resourceISBN: 9781119784692; 9781119784678 Subject(s): Big data | Business -- Data processing | Accounting -- Study and teachingGenre/Form: Electronic BooksDDC classification: 657.028557 Online resources: Full text available at Wiley Online Library Click here to view Summary: This book will help accountants and financial managers better understand big data and analytics, including its history and current trends. It dives into the platforms and operating tools that will help you measure program impacts and ROI, visualize data and business processes, and uncover the relationship between key performance indicators. Key topics covered include: Evidence-based techniques for finding or generating data, selecting key performance indicators, isolating program effects Relating data to return on investment, financial values, and executive decision making Data sources including surveys, interviews, customer satisfaction, engagement, and operational data Visualizing and presenting complex results| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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COLLEGE LIBRARY | COLLEGE LIBRARY | 657.028557 L641 2020 (Browse shelf) | Available | CL-51188 |
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| 657.02855369 Y1 2005 Computer accouting essentials using e-Peachtree / | 657.02855369 Y103 2007 Computer accounting: with microsoft office accounting 2007 / | 657.0285554 Sm57 2008 Excel applications for accounting principles / | 657.028557 L641 2020 Analytics and big data for accountants / | 657.0285574 DefInitive guide to blockchain for accounting and business : understanding the revolutionary technology / | 657.0285574 H143 1998 Accounting information systems / | 657.0285574 H143 1998 Accounting information systems / |
Includes index.
This book will help accountants and financial managers better understand big data and analytics, including its history and current trends. It dives into the platforms and operating tools that will help you measure program impacts and ROI, visualize data and business processes, and uncover the relationship between key performance indicators.
Key topics covered include:
Evidence-based techniques for finding or generating data, selecting key performance indicators, isolating program effects
Relating data to return on investment, financial values, and executive decision making
Data sources including surveys, interviews, customer satisfaction, engagement, and operational data
Visualizing and presenting complex results
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