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Analytics the Right Way : A Business Leader's Guide to Putting Data to Productive Use.
- Format:
- Book
- Author/Creator:
- Wilson, Tim.
- Language:
- English
- Subjects (All):
- Business--Data processing.
- Business.
- Management--Data processing.
- Management.
- Business mathematics.
- Physical Description:
- 1 online resource (258 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Newark : John Wiley & Sons, Incorporated, 2025.
- Summary:
- CLEAR AND CONCISE TECHNIQUES FOR USING ANALYTICS TO DELIVER BUSINESS IMPACT AT ANY ORGANIZATION Organizations have more data at their fingertips than ever, and their ability to put that data to productive use should be a key source of sustainable competitive advantage. Yet, business leaders looking to tap into a steady and manageable stream of "actionable insights" often, instead, get blasted with a deluge of dashboards, chart-filled slide decks, and opaque machine learning jargon that leaves them asking, "So what?" Analytics the Right Way is a guide for these leaders. It provides a clear and practical approach to putting analytics to productive use with a three-part framework that brings together the realities of the modern business environment with the deep truths underpinning statistics, computer science, machine learning, and artificial intelligence. The result: a pragmatic and actionable guide for delivering clarity, order, and business impact to an organization's use of data and analytics. The book uses a combination of real-world examples from the authors' direct experiences--working inside organizations, as external consultants, and as educators--mixed with vivid hypotheticals and illustrations--little green aliens, petty criminals with an affinity for ice cream, skydiving without parachutes, and more--to empower the reader to put foundational analytical and statistical concepts to effective use in a business context.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9781394264506
- 139426450X
- 9781394264513
- 1394264518
- OCLC:
- 1482333833
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