Myers, Nathan E., <br/><br/>
Self-service data analytics and governance for managers / 
Nathan E. Myers, Gregory Kogan. 
 - 1 online resource 
<br/><br/> Includes index.  NATHAN E. MYERS, MBA, CPA, Six Sigma Black Belt, has over 20 years in public accounting and investment banking experience at flagship organizations including Ernst & Young, Morgan Stanley, UBS Investment Bank, Credit Suisse, and JP Morgan. After receiving both his BS and MBA in Accounting from Indiana University, much of his career has been spent in finance functions as controller and as change manager for products such as FX spot, forwards, and options, securities lending, margin, and equity finance at global investment banks. In the recent past, his career has evolved from building scalable controls and delivering strategic technology change, to putting data analytics tooling into the hands of users to drive aggressive digital transformation.<br/><br/>GREGORY KOGAN, CPA, is a professor of practice in accounting at Long Island University focusing on teaching undergraduate and graduate courses in accounting and finance. He has experience as an auditor at Ernst & Young and as a controller at Tiger Management. He received his MBA in Accounting from Rutgers Business School and a BS in Computer Science from Rutgers University. 
<br/><br/>Table of contents<br/><br/>Preface ix<br/><br/>Acknowledgments xiii<br/><br/>About the Authors xv<br/><br/>Introduction 1<br/><br/>Chapter 1 Setting the Stage 9<br/><br/>Chapter 2 Emerging AI and Data Analytics Tooling and Disciplines 25<br/><br/>Chapter 3 Why Governance Is Essential and the Self-Service Data Analytics Governance Gap 51<br/><br/>Chapter 4 Self-Service Data Analytics Project Governance 89<br/><br/>Chapter 5 Self-Service Data Analytics Risk Governance 139<br/><br/>Chapter 6 Self-Service Data Analytics Capabilities in Action with Alteryx 179<br/><br/>Chapter 7 Process Discovery: Identify Opportunities, Evaluate Feasibility, and Prioritize 221<br/><br/>Chapter 8 Opportunity Capture and Heatmaps 269<br/><br/>Glossary 307<br/><br/>Index 317 <br/> 
<br/><br/> "Decentralization of data analytics tools has created a new digital environment in the finance and accounting world. With users performing their own analysis on data sets, there are important governance techniques to maintain process control in the new environment. While much has been written about data analytics capabilities, the treatments tend to either introduce and train users on used in data analytics. Prominent data analytics tools and capabilities for finance and accounting will be introduced. The authors will provide much-needed context to show where key tools can be deployed. Most important, managers must be equipped to structure the inevitable chaos that can result from putting tools into the hands of end-users. This book is meant to fill this gap and provide the reader with deployment and governance frameworks to promote data analytics capabilities on a large scale. In addition, the authors will clarify the capabilities of analytics tools in the accounting and finance world (based on real world scenarios). This book will focus on how finance, accounting, and operations teams need to adapt to the new digital environment. Readers will be presented with chapters building tool familiarity, matching tools with common use cases, and managing tool deployment in a way that ensures control and stability and ultimately high-quality digital outputs. Significant focus will be dedicated to establishing process governance standards as self-service digital tooling makes its way throughout an organization and teams."-- 
<br/><br/><label>ISBN: </label>9781119773290  9781119773306 9781119773313 
<br/><br/><label>LCCN: </label>2021018714 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Accounting--Data processing.
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic books.
<br/><br/><label>LC Class. No.: </label>HF5679 
<br/><br/><label>Dewey Class. No.: </label>657.0285