Ensuring the success of your data migration projects is crucial, especially if you are looking to achieve maximum return on your investment. By following the best practice model devised by author John Morris, this guide will help you ensure a smooth and problem-free migration. The guide contains techniques and strategies, blended with real-life examples and clear definitions of the most commonly used terminology.

Table of Contents

PART 1 REASONS AND METHODS 1 Reasons 2 The Golden Rules 3 Data Stakeholders 4 Four Key Concepts 5 Data Quality Rules 6 Data Gaps and Data Mapping 7 Non Functional Requirements PART 2 SPECIMEN PROJECT 8 Project Overview 9 Stage 0 Project Initiation 10 Stage 1 Data Preparation 11 Stage 2 Data Preparation 12 Stage 3 Build, Test and Go-Live PART 3 RESCUING DATA MIGRATION PROJECTS 13 Data Migration Projects That Have Gone Wrong - A Survival Guide

About the Author

John Morris has over twenty years' experience in IT working as a programmer, analyst, project manager and data architect. He has worked for some of the biggest names in IT consultancy including CSC, Logica CMG and Price Waterhouse Coopers (PwC) and has been involved in large-scale migrations at Barclays Bank, National Grid Transco and the BBC.