Hey #DataVault fans! Here is another post that just came out about DV and governance – how are they related?
In part two of this blog series, we sit down with Kent Graziano and Cindi Meyersohn to dig a bit deeper on data governance and its relationship to data quality.
Cindi: Kent, we’ve already talked about data governance as it relates to security, now what about data quality?
Kent: It’s important to talk about the key aspects and benefits of data governance found in improved data quality, because if people can’t trust the data, then they’re not going to use the data. No matter how sophisticated you get in loading your data, moving your data, transforming your data, displaying your data, if people don’t trust the quality of that data, then they’re not going to use it.
The Data Vault architecture and methodology, above and beyond modeling, includes data quality in the approach, specifically related to TQM, which is vectorized total quality management, along with several other frameworks. Particularly in Data Vault, you embrace the idea of having a continuous feedback loop on the data to the sources as part of the approach. The inclusion of a continuous feedback loop should be a part of any planning and design of a Data Vault.
Check out the rest of the conversation here: Data Vault and Data Governance, Pt. 2
The Data Warrior