The case for the Chief Data Officer : recasting the C-suite to leverage your most valuable asset / Peter Aiken, Virginia Commonwealth University/Data Blueprint, Michael Gorman, Whitemarsh Information Systems Corporation.

Format:

Book

Author/Creator:

Aiken, Peter.

Gorman, Michael, author.

Series:

Gale eBooks

Language:

English

Subjects (All):

Information technology--Management.

Information technology.

Intellectual capital.

Knowledge management.

Physical Description:

1 online resource (xvii, 70 pages) : illustrations (chiefly color)

Edition:

1st edition

Place of Publication:

Waltham, Mass. : Morgan Kaufmann, 2013.

Waltham, MA : Morgan Kaufmann, an imprint of Elsevier, 2013.

Language Note:

English

System Details:

text file

Summary:

Data are an organization's sole, non-depletable, non-degrading, durable asset. Engineered right, data's value increases over time because the added dimensions of time, geography, and precision. To achieve data's full organizational value, there must be dedicated individual to leverage data as assets - a Chief Data Officer or CDO who's three job pillars are: Dedication solely to leveraging data assets,Unconstrained by an IT project mindset, andReports directly to the business Once these three pillars are set into place, organizations can leverage t

Contents:

Front Cover; The Case for the Chief Data Officer; Copyright Page; Dedication; Contents; Acknowledgements; About the Authors; Foreword; Executive Summary; 1 Introduction - Speaking of Data (Big, Little, Dark ...) in Anticipation of the Impending Tsunami; 2 Understanding the Current C-level is not Data-Knowledgeable; 2.1 Chapter Overview; 2.2 Who is Your Data Chief?; 2.3 Chief Officers; 2.4 The Broad Technology Focus of Most CIOs; 2.5 CIO Preparation - Agreeing on Uniform Qualifications; 2.6 What are the CIO DATA Function Challenges as Currently Practiced?; 2.7 Chapter Summary

3 Developing Your Organization's Data Leveraging Capabilities3.1 Chapter Overview; 3.2 Engineering Leverage for your Data Advantage; 3.3 Architecting Data Leverage; 3.4 Data Strategy Development; 3.5 An Alternative Approach to IT Development; 3.6 Data Centric Principles; 3.7 Assessing Data Leveraging; 3.8 Application Software/COTS Packages; 3.9 Chapter Summary; 4 Focusing DM to Meet Common Organizational Challenges; 4.1 Chapter Overview; 4.2 Ubiquitous DM Challenges: Complexity, Degree, and Scope; 4.2.1 Complexity; 4.2.2 Degree; 4.2.3 Scope; 4.3 Objective Assessments of Organizational DM

4.3.1 DM Program Success: Self Assessment4.3.2 DM Visibility Within the CIO Function; 4.3.3 Measurable Data Quality and Responsibility for Data Quality; 4.4 Why CIOs Fail to Recognize Needed DM Improvements; 4.5 Why it Might be Difficult to Change the Status Quo?; 4.5.1 University DM Education; 4.5.2 IT System Development Practices; 4.5.3 DM Professionals; 4.6 Chapter Summary; 5 Creating the Right Conditions for CDO Success; 5.1 Chapter Overview; 5.2 Where Should they Report?; 5.2.1 The CDO Should Parallel the Reporting Structure of Other Asset Chiefs; 5.2.2 Arguments for not Reporting to IT

5.2.3 Arguments for the CDO being Independent of IT5.3 What Should they do? Primary CDO Challenges; 5.3.1 CDO Scope; 5.3.2 Make DM Independent from IT Development; 5.3.3 Remaining Data Focused - this is a Full Time Effort (FTE); 5.3.4 Improve General DM Practice Maturity; 5.3.5 CDO Position Description; 5.4 The Perhaps Temporary Nature of the CDO; 5.5 Chapter Summary; 6 Conclusions/Suggestions; References

Notes:

Description based upon print version of record.

Includes bibliographical references.

ISBN:

9781299474352

1299474357

9780124114951

0124114954

OCLC:

841296587