Data Catalog Can Change your Business

Data catalog is a system that helps in organizing metadata on the organization’s data sources and assets. Metadata includes the basic information about the particular data. For example for a document metadata would be information like the author’s name, file size, date of creation of the document and keywords which describe the document. Data Curation help in automatic categorization, easy search and provides a broader data management platform. Organizations dealing with loads of data would be particularly benefited with data catalogs.

A data catalog is a centralized, efficient, trusted and secured inventory of all the data sets of an organization. A well managed data is crucial for any business. It helps in taking better business decisions. We have summarized the top 10 ways by which a data catalog can change your business

Data Catalog Vendor Comparison

Alation vs Collibra vs Informatica vs Modern Alternative (Atlan/OvalEdge)

Key insight:

• Alation → Best for usability
• Collibra → Best for governance-heavy orgs
• Informatica → Best if you already use their ecosystem
• Modern tools (Atlan/OvalEdge) → Best for speed + automation

Reality check: All legacy tools rely heavily on manual data stewardship, which slows adoption and increases cost

1. Centralized source of data

The major benefit of a data catalog is that an organization stores all its data sets in one place. The catalog categorizes the data efficiently. It also keeps the data completely safe and secure, while maintaining easy accessibility.

2. Comprehensive visibility of all data sources

With data catalog you can keep track of the entire data source from a central location. You can access all the metadata and other information on data sources directly from a single place. This place can be cloud-based or on-premises.

3. Easier data management

A data curation automatically discovers and organizes the data. You can easily search and manage all the data sets and sources. Therefore if a data user wants to retrieve any information on the company’s data assets and sources then they can easily do so without the need to look for subject matter experts or data owners. And most importantly a person who is not a data expert or so much skilled can also search through a data catalog. This makes data catalog even more attractive to its users.

4. Reduced costs and time to manage and search for the data

We have stated that a data catalog categorizes the vast amount of data sets in such a way that the users can easily find the data they need. The data analysts are highly benefited since they can generate insights quickly and easily and don’t need to go through irrelevant data.

Real Pricing

Let’s remove the fluff — here’s what companies actually pay:

Industry Benchmarks

• Small teams: $10K–$15K/year
• Mid-size companies: $50K–$150K/year
• Enterprise deployments: $200K–$500K+

Example:

• A Collibra enterprise license alone has been quoted at $531K+ (excluding infra costs)
• Alation deployments can exceed $246K/year for ~300 users

Hidden costs (IMPORTANT):

• Implementation & consulting (adds 40–60% extra)
• Data steward salaries
• Integration work

5. Institutional knowledge of the organization’s data sources is preserved

Data catalog is a vast data reservoir where the organization can keep its data sources safely. The tribal and the institutional knowledge of the organization can be preserved with data catalogs without getting lost or leaked.

6. Organizations can collect and store metadata

Organizations can store the detailed basic information regarding data in a central data reservoir i.e. data catalog. The annotation and comments can be added to enrich the data. Metadata often shows the institutional knowledge of the company so it is a valuable source of information. With data catalogs the information is both programmatically or automatically discovered and added to the centrally placed data source.

7. Use of latest technology for cataloging has increased its effectiveness

It is difficult to manage the vast amount of data sources manually. The latest machine learning technology and Artificial Intelligence (AI) are now being used to prepare data catalogs and identify trends and data usage patterns.

8. Ensures data compliance

A data catalog classifies and applies security policies around metadata. The organizations apply various data policies both internally and externally. The external policies like GDPR, HIPAA, SOX, etc. require technical and control measures to protect and manage the company’s data. The internal policies also require similar measures. A data catalog thoroughly documents and classifies the data sources and applies the necessary policies or procedures ensuring data compliance and data security.

9. Automatically updated

A data catalog is continually updated and corrected ensuring data scalability. You can trust the data for its efficiency and value thus making it easy for the companies to take their business decisions based on the information given in data catalogs.

What Data Catalogs CAN’T Do

Most articles act like data catalogs are magic. They’re not.

1. They DON’T Fix Data Quality

A data catalog shows metadata — it doesn’t clean bad data.

You still need:

• Data quality tools
• Observability platforms

2. They Are NOT Real-Time Systems

• Most catalogs update metadata in batches
• Not designed for streaming pipelines

3. They Require Heavy Human Effort

• Data stewards must tag, classify, and maintain metadata
• Without governance → catalog becomes outdated quickly

4. They DON’T Replace Data Warehouses or ETL

A catalog:

• Organizes data
  But does NOT:
• Store data
• Transform pipelines
• Run analytics

5. ROI Takes Time (6–18 Months)

• Adoption is the hardest part
• Tools fail if teams don’t use them

Real-World Insight

Here’s how companies actually use data catalogs:

Example:

• A fintech company reduced data discovery time from 2 days → 10 minutes
• But…
• It took 9 months of governance setup to get there

Lesson:

A data catalog is not a tool problem.
It’s a data culture problem.

Better data governance

The organizations can apply governance controls to various types of data sources stored centrally as data catalog. Data catalogs highly improve data quality and value, ensuring better decision-making.