Provides a single interface to monitor and navigate data quality metrics
What is our primary use case?
How has it helped my organization?
IBM Data Governance supports data compliance integrations. To effectively use IBM Data Governance for compliance, we first need to identify our specific goals. Do we want to target data quality? Regardless of the goal, IBM Data Governance provides a single interface to monitor and navigate data quality metrics from a central console.
IBM Data Governance improved data analytics operations. During a company merger, we used IBM Data Governance to understand and bridge sample data between systems.
The tool helped us assess the current data quality and identify steps to convert the data into the required formats. It gives us insights into the accuracy of our existing data and assists us during the integration of new systems.
We have predefined rules and scoring parameters configured within IBM Data Governance. Any deviations from these parameters during the migration process are flagged for further examination, ensuring accuracy and efficiency.
We also use data access control.
What needs improvement?
One area with room for improvement would be the ability to generate detailed quality reports. Some Python libraries provide quality scores and reports—having that capability within IBM Data Governance would be beneficial.
We can see the pass/fail results, but getting additional percentage ratios would add significant value.
My experience with IBM Data Governance has mostly been with the GUI. I've noticed some latency when accessing the portal. Also, automating reports can sometimes hang, though that might depend on the overall system. That's where I see the most room for improvement – quicker report generation.
Fetching specific data from the IBM Data Governance repository tends to be slower compared to other vendors. For example, Collibra has a more responsive GUI. Retrieving large datasets from the IBM catalog is particularly slow.
For how long have I used the solution?
I have been using this particular solution for ten years.
I have experience with IBM suite, specifically InfoSphere Information Server – the data quality, data stage, and data governance components.
What do I think about the stability of the solution?
Stability-wise, it was very good. I'd say around a nine out of ten. Almost ten.
What do I think about the scalability of the solution?
Aside from the portal latency, I'd rate the scalability quite high – around an eight or nine out of ten.
Our clients are enterprise-level – large financial institutions.
How was the initial setup?
The documentation was good, but I would rate the overall setup's complexity at around seven out of ten, with ten being easy.
My experience has been with on-premises deployments. However, I know there's a cloud version with the Watson catalog. During a recent assessment, it seemed decent compared to the standalone version.
What's my experience with pricing, setup cost, and licensing?
I would rate pricing an eight out of ten, where one is cheap and ten is expensive.
It's pretty expensive.
What other advice do I have?
I would recommend taking your budget and the number of users into consideration. If those factors align, then absolutely – it's a top contender.
Overall, it's a good product. I would rate it an eight out of ten.
Which deployment model are you using for this solution?
On-premises
