Home | About GS1 | Products & Solutions | Services | Sectors | Contact GS1
 
Main GDSN website

Data Quality (DQ)
 - What is data quality?
 - Get started on a data    quality programme
 - Resource Library

The Data Quality Challenge
 - What is the Data    Quality Challenge?
 - Basic steps of the    Data Quality    Challenge
 - Benefits of Data    Quality
 

How to implement Internal Data Alignment (IDA)

The implementation of an IDA system will ensure that quality data is aligned across internal systems and used in the data management system.

Basic Resources

Internal Data Aligment Tool Kit Detailed methodology to follow to achieve internally aligned data quality starting with data consistency and ending with sustained quality master data (Courtesy of GS1 South Africa) ZIP 1.9 MB
Internal Data Alignment Roadmap Guidance for the implementation of an IDA system PDF 284 kb
Internal Data Alignment: Learning From Best Practices Courtesy of GCI, this report was created by Capgemini in 2004 over IDA in the Industry. PDF 1.7 MB

Key implementation steps

The following implementation steps are covered further in the Internal Data Alignement Roadmap referenced above:

  • Where do IDA and the IDA Toolkit fit into the Data Quality Framework including the Data Quality Protocol?
  • Introducing the IDA Toolkit
    • Obstacles to internal data alignment
    • A toolkit to achieve optimal IDA
  • What the IDA Toolkit Provides
  • IDA Preparation
    • How to start: create general awareness about IDA
    • IDA Pre-Implementation Requirements
  • Senior Management Commitment
  • Appoint responsible manager(s)
  • Awareness Programmes
    • Start a formal IDA Implementation Project
  • Project Preparation
    • Provide Training
  • IDA Implementation
    • IDA Implementation Phases and Steps
    • IDA Detailed Implementation
 
Disclaimer/Copyright | Privacy | Sitemap | Contact webmaster