Data Sustainability: Connecting Data Strategy, Data Governance and Data Management

Data SustainabilityTM takes the combination of the data strategy, data governance and the data management techniques and technologies to ensure the data of an organization is defect free, remains defect free, is readily accessible and provides a single view of the truth for the organization; today and in the future.

Come Join The Data Governance Society

Getting trustworthy data into the hands of executives and staff often requires a lot of change in both business and technology practices. But instituting change is impossible, or at least impractical, without measuring the level of success. But what should you measure? And how should it be measured? Where is your organization on the Capability Maturity Model for Data matrix?

How to Measure the Success of Data Governance

Poor data quality is often the number one issue listed as the cause of frustration and failure for new system implementations, bad business decisions, poor customer service and ineffective marketing efforts. It is often said that organizations don't know if they have data issues; whether data quality problems, or have non-standard data, or data isn't synchronized between all of the systems, or there isn't a common way to describe things across the enterprise.

When MDM Just isn't Enough (is it the "next, next big thing"?)

Remember back in the early 1990's when BI projects were the 'big thing'? And then came along CRM projects and then they were the 'next big thing'. Well, it appears that the "next, next big thing" is what many companies call "MDM projects" - because they often focus just on the technology and don't really resolve the fundamental business issues. History is demonstrating, on a daily basis, ...