We’ve all generally heard that data quality issues can be catastrophic. But what does that look like for data teams, in terms of dollars and cents? And who is responsible for dealing with data quality issues? To get to the bottom of these questions and more, we conducted a survey of 100 survey respondents, at least 63 […]
4 High-Impact Data Quality Issues That Are Easily Avoidable
When we talk to prospective customers, their first questions are usually around the fundamentals of data quality, including what it is, how we measure it, what happens when it goes south, and how data quality issues can be prevented. Our answers always come back to the core that drives our mission: Data is the lifeblood […]
The Case for the Data Management Maturity Model
The CMMI Institute announced its Data Management Maturity Model (DMM) back in 2014 to enable organizations to improve Data Management practices across their entire business. Some two-and-a-half years later, the technology-independent model continues to help organizations optimize their data assets is being successfully used by organizations across all industries to meet many Data Management objectives. […]