Data Stewardship

An Actionable Guide to Effective Data Management and Data Governance
Erscheinungsjahr 2013
ISBN: 978-0-12-410389-4
Verlag: Elsevier LTD, Oxford

Buch, Englisch, 248 Seiten, Format (B × H): 184 mm x 231 mm, Gewicht: 494 g

Reihe: Morgan Kaufmann

Data stewards in business and IT are the backbone of a successful data governance implementation because they do the work to make a company's data trusted, dependable, and high quality. Data Stewardship explains everything you need to know to successfully implement the stewardship portion of data governance, including how to organize, train, and work with data stewards, get high-quality business definitions and other metadata, and perform the day-to-day tasks using a minimum of the steward's time and effort. David Plotkin has loaded this book with practical advice on stewardship so you can get right to work, have early successes, and measure and communicate those successes, gaining more support for this critical effort.

Autoren/Hrsg.

Plotkin, David

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management

Inhaltsverzeichnis

Introduction

Chapter 1 Data Stewardship and Data Governance: How They Fit Together

Chapter 2 Understanding the Types of Data Stewardship

Chapter 3 Stewardship Roles and Responsibilities

Chapter 4 Implementing Data Stewardship

Chapter 5 Training the Business Data Stewards

Chapter 6 Practical Data Stewardship

Chapter 7 The Important Roles of Data Stewards

Chapter 8 Measuring Data Stewardship Progress: The Metrics

Chapter 9 Rating Your Data Stewardship Maturity

Chapter 10 Summing it all up

Appendix A Example Definition and Derivation

Appendix B Sample Training Plan Outline

Über Autor(innen)

Plotkin, David
David Plotkin has 30 years of experience in data governance, data modeling, metadata, and data quality. He has led efforts at employers and client companies to plan and implement Data Governance both as stand-alone efforts and as part of other initiatives such as Data Quality improvement and Master Data Management. He has previously managed Data Governance at two insurance companies and managed data quality at two large banks. He is a popular speaker at DAMA courses and conferences and serves as a subject matter expert on many topics around metadata, data governance, and data quality.