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Book Cover
E-book
Author Awati, Kailash

Title Data Science and Analytics Strategy An Emergent Design Approach
Published Milton : CRC Press LLC, 2023

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Description 1 online resource (231 p.)
Series Chapman and Hall/CRC Data Science Ser
Chapman and Hall/CRC Data Science Ser
Contents Cover -- Endorsement -- Half Title -- Series Information -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- Foreword -- Preface -- Acknowledgements -- Contributors -- 1 Introduction -- Data Science as a Sociotechnical Capability -- The Fallacy of Strategic Alignment -- A Tale of Two Databases -- The Wickedness of Building Data Capabilities -- The Notion of Emergent Design -- What to Expect From This Book -- The Structure of the Book -- Notes -- References -- 2 What Is Data Science? -- The Data Analytics Stack -- Data Ingestion -- Storage -- Access
BI vs Analytics vs Data Science -- Are You Ready for Data Science? -- The Data Science Process -- Doing the Thing -- Machine Learning Problem Types -- Test Your Knowledge -- What About AI? -- Great Power, Narrow Focus -- Doing the Thing Right -- Doing the Right Thing -- In Closing -- Notes -- References -- 3 The Principles of Emergent Design -- The Origins of Emergent Design -- Is There a Better Way? -- Emergent Design, Evolution, and Learning -- Uncertainty and Ambiguity -- Guidelines for Emergent Design -- Be a Midwife Rather Than an Expert -- Use Conversations to Gain Commitment
Understand and Address Concerns of Stakeholders Who Are Wary of the Change -- Frame the Current Situation as an Enabling Constraint -- Consider Long-Term and Hidden Consequences -- Create an Environment That Encourages Learning -- Beware of Platitudinous Goals -- Act So as to Increase Future Choices -- Putting Emergent Design to Work -- An Illustrative Case Study -- Background -- The Route to Emergent Design -- A Pivotal Conversation -- First Steps -- Integrating the New Capability -- The "Pilot" Project -- Scaling Up -- The Official OK -- Lessons Learnt -- Summarising -- Notes -- References
4 Charting a Course -- Introduction -- Tackling the Corporate Immune System -- Finding Problems -- Demonstrating Value -- Additional Benefits of "Problem Finding" -- Powerful Questions -- Designing for the Future -- Notes -- References -- 5 Capability and Culture -- Introduction -- Data Talent Archetypes -- Database Administrators, Data Engineers, and Data Warehouse Architects -- Key Skills -- What They Do -- What They Don't Do -- Business Intelligence (BI) Developers and Analysts -- Key Skills -- What They Do -- What They Don't Do -- From Analyst to Data Scientist -- Key Skills
What They Can Do for You -- What They Don't Do -- Newer Data Roles -- Other Roles -- The Right Timing -- Building Capability -- Identifying and Growing Talent -- Designing Training Programmes -- Immersion and Other Approaches -- Ongoing Development -- "Building a Culture" -- Communities of Practice -- Data Literacy -- Critical Thinking -- Problems, Hypotheses, and the Scientific Method -- Measuring Culture -- Some Principles for Developing a Data Culture -- Buying Talent -- Find the Right Mix of Skills -- Value Problem-Solving -- Assessing Broader Skills
Summary This book describes how to establish data science and analytics capabilities in organisations using emergent design, an evolutionary approach that increases the chances of successful outcomes while minimising upfront investment
Notes Description based upon print version of record
Get the Candidate to Work On a Real Data Problem
Form Electronic book
Author Scriven, Alexander
ISBN 9781000859454
1000859452