Managed data
What is Data as a Service (DaaS) and why it matters
A clear definition of Data as a Service (DaaS): what it includes, how it differs from building your own infrastructure and why more companies adopt it.
Read articleKey takeaways
- Metadata is "data about data": what it is, where it comes from, what it means.
- A data catalogue is the inventory to find and understand available data.
- They cut the time wasted searching and validating data.
- They are the basis of self-service and data governance.
- Capture metadata automatically, not by hand.
In many companies, the biggest obstacle to using data is not that it is missing, but that nobody knows what exists, where it is or whether it can be trusted. Metadata and the data catalogue solve that often-underestimated problem.
What they are
Metadata is "data about data": descriptions of what a data point represents, where it comes from, how it was transformed, who uses it and with what quality. A data catalogue is the organised inventory of those assets.
Why they matter
- Discoverability: the business finds the data it needs without asking IT.
- Trust: origin, quality and meaning of each data point are known.
- Efficiency: less time lost searching and validating.
- Governance: the basis for policies, access and compliance.
Metadata
OriginMeaning, quality
Catalogue
InventorySearchable
Self-service
Find, understandTrust
Catalogue and self-service
A good catalogue is what makes self-service possible: an analyst or business owner finds, understands and uses data without a technical intermediary. Without a catalogue, self-service becomes chaos; with it, governed autonomy.
How it is maintained
The key is that metadata is captured automatically as data flows, not through manual documentation that ages. Modern platforms extract and update metadata automatically, linking it with lineage and quality.
A catalogue is the map that turns scattered data into something the business can find and trust.
In summary
Metadata describes each data point and the catalogue inventories it so the business can find, understand and trust the data — the basis of self-service and governance. It must be captured automatically as data flows, linked with lineage and quality, not documented by hand.
Sources & further reading
Frequently asked questions
What is the difference between metadata and a data catalogue?
Metadata is the information describing each data point; the catalogue is the organised inventory of that metadata so data can be found and understood.
What is a data catalogue for?
So the business discovers what data exists, understands its meaning and trusts its quality, enabling self-service and governance.
Does metadata have to be documented by hand?
It should not. The effective way is to capture it automatically as data flows, linked with lineage and quality.
How do they enable self-service?
A catalogue lets non-technical users find and understand data without an intermediary, turning self-service from chaos into governed autonomy.
Why do they build trust?
Because they expose the origin, quality and meaning of each data point, so users know whether and how to rely on it.
How are they kept up to date?
Modern platforms extract and update metadata automatically as data flows, linking it with lineage and quality indicators.
Turn this data into results
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