Data Strategy and the Enterprise Data Executive: Ensuring that Business and IT are in Synch in the Post-Big Data Era by Peter Aiken

Data Strategy and the Enterprise Data Executive: Ensuring that Business and IT are in Synch in the Post-Big Data Era

byPeter Aiken, Todd Harbour

Paperback | May 26, 2017

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Pervasive, data is a unique organizational resource, and this distinction warrants its own strategy. Data, representing your single non-depletable, non-degradable, durable strategic asset, is likely also your most poorly leveraged and underutilized organizational asset.
Lack of talent, barriers in organizational thinking, and seven specific data sins prevent most organizations from benefiting fully from their data asset investments. Solving these prerequisites will allow your organization to:
• Improve your organization’s data;
• Improve the way your people use data; and
• Improve the way your people use data to achieve your organizational strategy.
This method better focuses data and thinking in direct support of strategic objectives. After eliminating necessary prerequisites, organizations can develop a disciplined and repeatable means of improving their data, literacy, standards, and controls using data governance practices. Once in place, the process (based on the theory of constraints) becomes a variant of lather, rinse, and repeat. Several complementary concepts covered include:
• An overview of data strategy prerequisites;
• A repeatable process for identifying and removing data constraints;
• Why data strategy is necessary for effective data governance;
• Balancing operational results with capability development;
• An objective definition of data-centric thinking; and
• Ways to monetize these efforts.
 

Title:Data Strategy and the Enterprise Data Executive: Ensuring that Business and IT are in Synch in the ...Format:PaperbackProduct dimensions:250 pages, 9 X 6 X 0.53 inShipping dimensions:250 pages, 9 X 6 X 0.53 inPublished:May 26, 2017Publisher:Technics Publications, IncorporatedLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:1634622170

ISBN - 13:9781634622172

Appropriate for ages: All ages

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Table of Contents

Acknowledgements 1 Foreword by Micheline Casey, Chief Data Officer 3 Introduction: Why Does Your Organization Need a Data Strategy? 9 Preface: Making More Use of Data 15 CHAPTER 1: Data Strategy Supports Organizational Strategy 19 What is Strategy? 19 Strategy in Action 23 What Is Data Strategy? 27 Focusing Data Governance with Data Strategy 30 Three Elements of Strategy 33 Conversations & Language of Data Strategy 39 Data Strategy Supports Organizational Strategy 41 Data Security Collaboration 42 CHAPTER 2: Data Strategy is Necessary for Effective Data Governance 47 Data Is Not the New Oil 49 The Post-Big Data Era 52 Big Data Technologies 54 Motivation No. 1: Improving Your Organization''s Data 56 Motivation No. 2: Improving the Way People Use Data 60 Motivation No. 3: Improving Data to Support Organizational Strategy 64 CHAPTER 3: Data Strategy Development (Phase I - Prerequisites) 71 Data Belongs to the Business 71 Three Critical Barriers 72 Barrier No. 1: Lacking Organizational Readiness 74 Barrier No. 2: Failing to Compensate for Lack of Data Knowledge 76 Barrier No. 3: Eliminating the Seven Barriers to Leveraging Data 81 CHAPTER 4: Data Strategy Development (Phase II - Iteration) 103 Organizational Strategy 105 Supporting Organizational Strategy with Data Strategy 108 Goldratt''s Theory of Constraints 113 Identifying Organizational Data Constraints 117 Exploiting Organizational Data Constraints 120 Subordinating All Other Constraints 120 Elevating Organizational Data Constraints 122 Repeating the Process 123 Managing Data Constraints 123 Elements of a Data Strategy 125 Who Contributes to the Data Strategy? 127 Developing a Data Strategy 130 Managing the Strategy Development Process 134 Communicating and Data Strategy 136 Maturing Data Strategy Iterations 144 CHAPTER 5: Data Strategy at Work 151 Ripped from the Headlines 151 BigOrganization Develops Its Data Strategy 159 Monetizing Contributions from the Data Strategy 174 BigRetailer Example-Reengineering the Location Data Element 181 CHAPTER 6: The Data Doctrine 188 Consequences of Failure to Adopt Data-Centric Thinking 189 Defining Data-Centric Thinking: the Data Doctrine 195 Why Data Has Fared Poorly 206 Leveraging the Agile Manifesto for Business Activities 209 The Bottom Line: A 3,000 Word Executive Summary 217 Index 229