-
Data Validation as Part of Your Data Governance Program
Steve Putman describes the benefits of a comprehensive data governance program and explains how the inclusion of a data validation component results in better data and a better overall data governance program.
-
Data Governance Next Practices: The 5 + 2 Model
There are five key critical success factors that are indispensable for any data governance effort. Read about them in this article that also discusses the optional secondary success factors.
-
Master Data Management: Free Up the Data to Free Up the Business
The future of enterprise data management, reports Dominic Micic of DataFlux, is the master data management approach, and the key for data management professionals is to tie data management efforts to business objectives.
-
A Journey to Adaptive Master Data Management
Many organizations need to adapt their master data management (MDM) deployments to address new and wider sets of business requirements, and enable different deployment and implementation architecture options. MDM will also need to expand beyond customer and product data into other data and relationships and provide access to information-rich systems for broader use.
-
How’s Your Data? The Problem with Self-Assessments
In his article, Jill Dyché discusses the problems with using internally administered surveys to determine the state of your organization's data quality. Often, the survey questions are so vague that you don't learn what you need to know, and some stakeholders could be unknowingly sabotaging the assessment.
Member Login
