This is the second in a two-part series exploring data quality and the ISO 25000 standard. OK. You’re with the program. You recognize that having quality data is important for accurate AI models. You would even concede that it’s important for other stuff too, but whatever, because AI is getting all the attention right now. […]
Data Quality Assessment: Measuring Success
The goal of a Data Quality assessment is not only to identify incorrect data but to also estimate the damage done to the business’s processes and to implement corrective actions. Many large businesses struggle to maintain the quality of their data. It is important to remember data is not always in storage and static but […]
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. […]