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Articles tagged data governance
15 articles about data governance.
Outgrown Excel as a database? Build on it with Datahub
Using Excel as a database? Turn its contents into a shared source in Datahub with definitions, ownership and connections while keeping Excel usable.
From Excel copies to working together in Datahub
Collaboration takes more than a shared Excel file. Datahub connects its contents to definitions, ownership and history so your team uses the same source.
Excel as a starting point: version control and collaboration with Datahub
Use your Excel file as a starting point for Datahub. Govern its contents with ownership, change history and access rules and work from the same source.
Data or metadata: what an AI agent should get from you
An AI agent needs meaning, not bulk. Metadata is the default, data is the exception you allow on purpose.
Implementing AI: why it almost always stalls on your data
The model is rarely the problem. Pilots stall because nobody can retell where an answer came from, or who owns the terms inside it.
Implementing data governance: a ninety day approach
Not with a framework, but with five terms people argue about. That is how you get something that stays standing within a quarter.
What is data governance? Roles, agreements and evidence
Data governance is not a policy document. It is the agreement about who owns which term, what it means, and how you can still retell that six months later.
Effective data lifecycle management
Data has a life: created, used, retained, removed. Skip a phase and you pay twice - in storage, and in wrong answers.
Data quality has two owners
Every test passes and still nobody trusts the number. Data quality holds two questions: is the data technically correct, and is the right thing being computed?
A data platform finds the fault. It does not change behaviour.
A test reports the deviation reliably, day after day. Still the alert sits there. Why data quality only moves when ignoring it hurts, and what agentic AI changes about that.
From meaning to decision. How a company brain works inside.
Two numbers for the same question is not a data problem but a meaning problem. Four steps from a disputed figure to a decision a team steers on.
What is a data contract?
A data contract is an agreement about what data means, who supplies it and what happens when it changes. It is how a definition gets an owner instead of an opinion.
The company brain: where your organization's knowledge lives
Every organization has a brain. In most, it is scattered across systems, spreadsheets and people''s heads. This is the mental model: the layers a company brain is made of, why meaning is the foundation, and how to build it without building a whole platform first.
Lean, Six Sigma, Agile, and now: managing intelligence
Every era of business has had a discipline that defined how good organizations operated. A fourth is now forming, and its subject is intelligence.
AI needs your own knowledge. The industry now agrees.
Databricks and Microsoft renewed their partnership around one principle: AI delivers value only once it is grounded in your own knowledge. The principle is settled. Two questions are not: where does it start, and whose is it?
Start with one decision that has to get better
Pick a recurring question where teams lose time or contradict each other. Make the meaning behind it explicit and bring it straight into daily operations.