Data Management: a gentle introduction. Bas van Gils

Data Management: a gentle introduction - Bas van Gils


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      ■ Kiean Bitaraf is data management consultant at Deloitte.

      ■ Raymond Slot is managing partner at Strategy Alliance.

      ■ Paul Heisen is senior enterprise architect at De Lage Landen (DLL).

      ■ Robin Vuyk is head of business architecture and design at PGGM, a Dutch pension provider.

      ■ Daan Riepma is a smart data consultant at Axians.

      ■ Ronald Damhof, “just a data-guy”, self-employed, often in the role of enterprise (data) architect in large (mostly public) organizations.

      The book wouldn’t have been nearly as good without the help of Lisa Gaudette. Thank you so much for your patience, hard work, and grammar/ punctuation lessons. Whenever I thought we had cleaned up a piece of text, you always found more ways to make it better. I would also like to thank Mirjam Visser for her extensive review of the manuscript as well as the pleasant discussions we had on data management. Last but not least, I would like to thank my family for their support. I know I have been hiding behind my computer to finish the manuscript and wouldn’t have been able to make so much progress without your flexibility and support.

      As a last remark, I would like to point out that a lot of time and effort went into checking the material. Any errors that remain are my own. I hope you find the book interesting and useful. Enjoy the read!

      Bas van Gils

      October 2019

       Illustration

       1 INTRODUCTION

       1.1 Goals for this book

       1.2 Intended audience

       1.3 Approach

       2 DATA AS AN ASSET

       2.1 Data

       2.2 Asset

       2.3 Data and process

       2.4 Visual summary

       3 DATA MANAGEMENT: WHY BOTHER?

       3.1 A definition of data management

       3.2 Value of DM

       3.3 Key challenges for DM

       3.4 Visual summary

       4 POSITIONING DATA MANAGEMENT

       4.1 The center of the universe

       4.2 DM and business process management

       4.3 DM and IT management

       4.4 Information/data analysis

       4.5 Database management

       4.6 DM and enterprise architecture management

       4.7 Philosophical considerations

       4.8 Visual summary

       PART I: THEORY

       5 INTRODUCTION

       6 TERMINOLOGY

       6.1 Introduction

       6.2 Data codifies what we know about the world

       6.3 Storing data in systems

       6.4 Data in processes

       6.5 Connecting the business and IT perspective

       6.6 Outlook

       6.7 Visual summary

       7 DATA MANAGEMENT: A DEFINITION

       7.1 Introduction

       7.2 Managing the lifecycle of data

       7.3 Deconstructing DM

       7.4 Visual summary

       8 TYPES OF DATA

       8.1 Classifying data

       8.2 Five fundamentally different types of data

       8.3 Transaction data

       8.4 Master data

       8.5 Business intelligence data

      


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