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How to Build a Sustainable Internal Data Catalog That Delivers Value
A modern data catalog is not just a library; it forms the core for discoverability, collaboration, and governance. In this edition of our Getting Started series, we cover the key elements for creating a catalog, typical challenges companies encounter, and how to address them using a purpose-built solution.
Get Started with Data Cataloging
Creating an effective and sustainable data catalog begins with a targeted strategy. Instead of attempting to catalog everything simultaneously, start by focusing on the most critical data assets for the business—such as customer-facing datasets, financial reporting tables, or frequently used metrics.
Steps to Initiate a Successful Data Cataloging Effort
Inventory what’s available
Start by pinpointing key data assets in your cloud storage (Snowflake, Databricks), data lake (S3), or legacy systems. This involves tables, views, flat files, or spreadsheets that are actively in use.
Define your catalog structure
Create categories and metadata fields that match business use cases, such as domain (marketing, sales), data owner, update frequency, and sensitivity level.
Assign ownership and context
Engage data owners from the start. Urge them to record the dataset’s purpose, quality, and known limitations. This enhances discoverability and fosters trust among users.
Enable self-service discovery
Once metadata is set up, enable business teams to browse and filter by categories or keywords. Customize the experience with curated views, ensuring users only see information relevant to their roles.
Keep it dynamic
Utilize automation whenever possible to update catalogue entries when new data products are introduced or changes occur. Avoid manual upkeep wherever feasible to ensure sustainability.
Core Features Your Catalog Platform Should Support
A catalog should serve both technical and business users. To support this range of needs, ensure your solution offers:
- Metadata management: Add business and technical descriptions, update schedules, data lineage
- Documentation tools: Provide simple ways for data owners to add context or usage notes
- Product versioning: Track changes and updates to datasets over time
- Search and filters: Let users find relevant data quickly using tags, categories, or column names
- Ownership and access roles: Make it clear who maintains the dataset and who can use it
These features make your catalog more than just a static list—they turn it into a living product library that connects data creators and consumers.
From Searching to Solving
A well-maintained internal catalog can cut data discovery time from days to hours. It reduces redundant data engineering work, prevents the spread of low-quality datasets, and increases adoption of high-value data across the business.
Key benefits include
- Reduced dependency on IT for dataset clarification or discovery
- Higher reuse of vetted data products across business teams
- Improved collaboration and accountability with clear ownership
- Faster onboarding of new team members or external partners
- More accurate reporting and analysis due to centralized sources of truth
By investing in a catalog that supports context and governance, companies create an internal data culture where data is easier to trust, easier to find, and easier to use.
Why Catalog alone isn’t enough
While discoverability is critical, it’s only part of the equation. As more teams engage with the catalog and more data products are published, questions naturally arise:
Who should be allowed to see or use certain products?
- How do we manage access based on business roles or client agreements?
- How can we safely enable distribution across systems or partners?
- This is where entitlement management becomes essential.
Pairing catalog with a robust entitlement system allows you to control who can see, request, or receive specific data. It introduces governance without slowing access—and ensures sensitive or regulated data is handled correctly.
Build the Foundation, Then Expand
A data catalog serves as your gateway to making data operational throughout the organization. It provides transparency about available data, assigns responsibility for its upkeep, and outlines how it should be used. Its full potential is unlocked when integrated with entitlement and distribution processes—ensuring data is discoverable, secure, and properly governed at scale.
In our upcoming white papers, we will discuss how to enhance your catalog with automated access rights and controlled sharing, maximizing the value of your enterprise data.
Seamless data discovery and sharing
With Revelate, prepare, package, and deliver data from anywhere to anyone to realize the full value of your data.
