Ai-enabled Analytics for Business: A Roadmap for Becoming an Analytics Powerhouse - Rilegato

Maisel, Lawrence S.; Zwerling, Robert J.; Sorensen, Jesper H.

Rilegato

ISBN 10: 1119736080 ISBN 13: 9781119736080

Casa editrice: John Wiley & Sons Inc, 2022

Riassunto

<p><b>We are entering the era of digital&nbsp;transformation&nbsp;where human and artificial intelligence (AI) work hand in hand to achieve data driven performance.&nbsp;&nbsp;</b></p> <p>Today, more than ever, businesses are expected to possess the talent, tools, processes, and capabilities to enable their organizations to implement and utilize continuous analysis of past business performance and events to gain forward-looking insight to drive business decisions and actions.&nbsp;&nbsp;<i>AI-Enabled Analytics in Business</i>&nbsp;is your Roadmap to meet this essential business capability. To ensure&nbsp;we can&nbsp;plan for the future&nbsp;vs react to the future when it arrives,&nbsp;we need to develop and deploy a toolbox of tools, techniques, and effective processes to reveal forward-looking unbiased insights that help us understand significant patterns, relationships, and trends. This book promotes clarity&nbsp;to&nbsp;enable&nbsp;you&nbsp;to make&nbsp;better decisions from insights about the future.&nbsp;</p> <ul> <li>Learn how advanced analytics ensures that your people have the right information at the right time to gain critical insights and performance&nbsp;opportunities&nbsp;</li> <li>Empower better, smarter decision making by implementing AI-enabled&nbsp; analytics&nbsp;decision support tools&nbsp;</li> <li>Uncover patterns and insights in data, and discover facts about your business that will unlock greater&nbsp;performance&nbsp;</li> <li>Gain inspiration from practical examples and use cases showing how to move your business toward AI-Enabled decision&nbsp;making&nbsp;</li> </ul> <p><i>AI-Enabled Analytics in Business</i>&nbsp;is a must-have practical resource for directors, officers, and executives across various functional disciplines who seek increased business performance and valuation.&nbsp;</p>

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Informazioni sull'autore

<p><b>LAWRENCE S. MAISEL</b> is President of DecisionVu, a management consultancy specializing in Performance Management, Data Analytics, and Operations Improvements. He is an experienced executive with proven leadership to drive efficiency and control through planning and analysis, AI-enabled analytics, and operating process redesign. Maisel is a CPA, MBA, and CGMA and received AICPA&#8217;s Thought Leader award for creating its Center for Excellence in Financial Management. He authored <i>Predictive Business Analytics,</i> co-created with Drs. Kaplan and Norton, the Balanced Scorecard Approach, and co-authored with Drs. Kaplan and Cooper <i>Implementing Activity-Based Cost Management.</i> He is a former Senior KPMG Partner and an Adjunct Professor, Columbia University&#8217;s Graduate School of Business.</p> <p><b>ROBERT J. ZWERLING</B> is a high-tech entrepreneur founding and growing software companies across telecom, manufacturing, distribution, high data availability, analytics, and AI. He is a noted speaker, thought leader, and author on AI and analytics, and has co-authored with Jesper H. Sorensen dozens of papers and the groundbreaking book, <i>Implementing an Analytics Culture for Data Driven Decisions</i>. Zwerling holds two degrees in engineering and is a registered Professional Engineer. He is Managing Director at Aurora Predictions, providing AI-enabled analytics with an intuitive/no-code interface to automatically reveal insights that moves the business&#8217;s needle. He is co-founder of the Finance Analytics Institute, which teaches how to implement analytics through papers, surveys, benchmarks, and the Analytics Academy. <p><b>JESPER H. SORENSEN </b>is a Finance Executive with a proven track record of advancing the analytics agenda. He is currently a Vice President of Finance at Oracle, leading a large global finance team for a multi-billion-dollar business. Prior to Oracle he held leading positions with DuPont and IBM. He holds several advisory positions including advisory board member for Aurora Predictions. He co-authored with Robert J. Zwerling many articles and papers on analytics and the book <i>Implementing an Analytics Culture for Data Driven Decisions</i>. Sorensen is also the co-founder of the Finance Analytics Institute. He holds a Master in Economics and Management from the University of Aarhus, Denmark, and is certified in Risk Management and Strategic Decision Making from Stanford University

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<p>More than ever, businesses seek better processes, tools, and strategies to ensure that the right people are enabled to make smarter decisions. AI and analytics combine to deliver insights and foresight that can move the business&#8217;s needle. The technology applies mathematics and algorithms on data for unbiased predictions for fact-based input for truly informed human decision-making.</p> <p><i>AI-Enabled Analytics for Business, </i>delivers a roadmap to equip your organization to engage AI and analytics to proactively plan for the future, rather than just reacting to the future when it arrives. You&#8217;ll learn the strategies and techniques to reveal forward-looking, unbiased insights to help you uncover invaluable patterns, relationships, and trends. <p>The authors offer clear and specific advice to show you how to deploy advanced analytics and use it to deliver crucial insights to decision makers right when they need it. You&#8217;ll also learn to implement AI-enabled analytics decision support tools and discover new facts about your business that will unlock greater performance. <p>In <i>AI-Enabled Analytics for Business</i>, you&#8217;ll find practical examples and use cases from a spectrum of industries that explore successes and failures in implementing advanced analytics. You&#8217;ll be able to use them to draw inspiration, avoid pitfalls, and initiate and sustain a culture for data driven decisions. <p>Perfect for executives, managers, and business leaders, <i>AI-Enabled Analytics for Business</i> is also an indispensable resource for analytics professionals, business intelligence professionals, and anyone else who wishes to better understand the potential of AI and predictive analytics and how to implement it in their organization.

Dettagli dell'edizione

• Editore: John Wiley & Sons Inc
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 1119736080
• ISBN 13: 9781119736080
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 304
• Contatto del produttore: WROX; https://www.wiley.com/en-us; ; 111 River Street; Hoboken; NJ; 7030; U.S.A.
• Persona responsabile: non disponibile