Most organizations have come to the realization that data is an important enterprise asset, and that when tapped provides a competitive advantage in the marketplace. Like any asset, Data requires careful management so it can be turned into useful information. It is this information that enables an organization’s strategic vision to improves its bottom line. Organizations that have succeeded in this effort most likely have implemented an enterprise data management (EDM) program.
The vision of EDM is to create and sustain a consistent view of business data for all the stakeholders in the enterprise. And you deliver the vision using the 3 pronged approach of People, Processes and Technologies. When implemented right, EDM provides the semantic layer required for constant insight into the business information across the enterprise. EDM is not a technology or even a component, rather a framework of disciplines for managing the data across the enterprise.
In my view, an EDM program should cater to the following disciplines.
- Data Governance & Stewardship
- Data Integration
- Master Data Management
- Data Quality
- Data Warehouse & Business Intelligence
- Information Lifecycle Management
- Data Security
This blog is my attempt to provide some practical insight into each of the disciplines of EDM. I understand that there are a zillion posts that cover EDM, and some very reputed gurus who write on this. However I will try to cover both the strategic and the tactical aspects of EDM, based on my experience. The blog will provide first hand reviews of different tools, best practices and “pilot” solutions. You can check the “About” page to learn a bit about me and what I do.
Comments
Trackback