White Paper: Data Governance for ERP Projects

Adopting the Best Practices for Ongoing Data Management.

Master data management (MDM) has emerged as an important aspect of all ERP implementation or consolidation exercises. With ever evolving and increasing inventory, supplier, product and customer databases, it has become essential to cleanse and maintain the quality of the master data. More and more global enterprises across various industries have undertaken or plan to commence an MDM initiative in tandem with their ERP projects.

All MDM initiatives have two parts - one, historical data cleansing and two, ongoing data management. Historical data cleansing essentially involves classification and enrichment of data. But this is just half the battle won. The bigger challenge lies in ensuring the quality of data on an ongoing basis. A harmonized legacy data is "assumed" cleansed. This is only notional and not the real picture.

In order to keep the cleansed data clean, it is imperative to adopt an effective and efficient ongoing data management (ODM) tool. Managing data on a continuous basis is fraught with challenges that are unique to this part of an MDM initiative.

This is where Data Governance comes into the picture. It is a point of convergence for people, technology and process in order to manage the crucial data (information) of an enterprise. This is a vital link in the overall ODM process for it maintains the quality of data and makes it available to a wide range of decision making hierarchy across an organization. In other words, Data Governance is the complete management of the availability, utilization and security of the data in a company.

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