Book Image

Microsoft Dynamics AX Implementation Guide

By : Yogesh Kasat, JJ Yadav
Book Image

Microsoft Dynamics AX Implementation Guide

By: Yogesh Kasat, JJ Yadav

Overview of this book

Microsoft Dynamics AX is Enterprise Resource Planning (ERP) software that supports multi-site operations across various countries, providing international processing within the company. It is an ERP solution with a lot of features and functionality, and it provides support across the fields of financial, distribution, supply chain, project, customer relationship, HR, and field service management. This book is all about simplifying the overall implementation process of Dynamics AX. The purpose of this book is to help IT managers and solution architects implement Dynamics AX to increase the success rate of Dynamics AX projects. This all-in-one guide will take you through an entire journey of a Dynamics AX implementation, ensuring you avoid commonly-made mistakes during implementation. You’ll begin with the installation of Dynamics AX and the basic requirements. Then, you’ll move onto data migration, reporting, functional and technical design, configuration, and performance tuning. By the end of the book, you will know how to plan and execute Dynamics AX right, on your first attempt, using insider industry knowledge and best practices.
Table of Contents (23 chapters)
Microsoft Dynamics AX Implementation Guide
About the Author
About the Author
About the Reviewers
Testing and Training

Chapter 5. Data Migration – Scoping through Delivery

Data migration is usually the most complex and underestimated area of any ERP implementation. This chapter makes you understand data migration requirements, managing the data migration scope, identifying the tools and techniques for data migration, and data validation.

The following topics are covered in this chapter:

  • Understanding data requirements and challenges

    • Defining what data needs to be migrated

    • Source systems involved

  • Managing the scope of data migration

    • Questions to ask during scoping

    • Leading data migration requirements

    • The battle of history

  • Tools, techniques, and development considerations

    • Data extraction and cleansing

    • Using the data migration framework

    • Building a repetitive process

  • Data validation

    • Testing scripts

    • Engaging business for validation

    • Using migrated data during testing