Insights Topic
Published INVISOM articles connected to data quality.
7 articles
All insightsTrusted DataFramework
A data product is not a dataset with a new label. It is a promise to consumers, written down as a contract, owned by a named person and measured in public. Without the promise, nothing has changed.
GovernanceImplementation Guide
The NDMO standards tell you what must be true. DAMA-DMBOK tells you how to make it true. Entities that confuse the two end up with 191 documents and very little managed data.
GovernanceArchitecture Guide
Lineage drawn by hand is out of date by the next release. Lineage captured from the systems that move data becomes the evidence layer that supervisors, auditors and AI governance all depend on.
GovernanceOperating Model
Governance that lives in committees grows with the number of meetings. Governance that lives in pipelines grows with the data. Most programs fail because they chose the first and expected the results of the second.
Trusted DataArchitecture Guide
A single version of the truth is not found by software. It is decided, attribute by attribute, by people with authority to decide. MDM technology only executes those decisions, and fails when nobody has made them.
Trusted DataImplementation Guide
Most data quality programs measure everything and fix little. Start from the few dozen data elements that decisions depend on, write rules against them, and run quality as a service with thresholds, owners and resolution times.
Trusted DataExecutive Guide
Enterprise AI rarely fails at the model. It fails on data nobody certified for the job. The fix is not a clean-everything program but trusted data, earned one use case at a time.