ibi Data Quality Reviews

We use the solution for customer information data quality.

We had many duplicates originating from different source systems. We were able to match and deduplicate a significant amount of data. Additionally, we could synchronize and write back the latest information to the systems that were out of sync, ensuring they had the most recent data. As a result, we could write back and update the source systems.

Ibi Data Quality offers numerous prebuilt data quality plans that can be reused for various data cleansing tasks. Additionally, it provides a variety of prebuilt match and merge rules for performing master data management,

Their data governance portal can be improved. It lacks data governance-related features. Also, PII and anomaly detection could be valuable use cases for ibi. Adding these features would be a great enhancement.

I have been using ibi Data Quality for four years.

The product is stable.

We've processed several thousand or even millions of records and haven't encountered any issues. It is scalable. There are about five superusers and about 40 regular users. It is suitable for all kinds of businesses.

We tenfolded our data volume. However, the hardware requirements and sizing were adequately prepared to handle this increase, and the system ran smoothly. Although it took a bit more time than initially anticipated to deal with just ten percent of the current data points, the system handled the tenfold increase effectively.

They have different tiers of support. Whenever we contact them, they respond within the SLA.

Positive

The initial setup is straightforward and takes 45 minutes to complete.

I rate the initial setup a nine out of ten, where one is difficult, and ten is easy.

Many issues related to incorrect data, such as mailing to the wrong addresses or contacting customers through outdated communication channels, have been fixed. Operationally, we are more cohesive in terms of matching data. They introduced a data management lifestyle to the organization, enabling us to perform data governance better.

There is an upgrade to the existing version, where a different license could be used, but we have a perpetual license. 

I rate the product’s pricing a three out of ten, where one is cheap, and ten is expensive.

For the on-prem solution, we installed a package on the web server. This package included web-based tools and development tools, which were Eclipse-based toolsets. These tools allowed us to design the data model and develop data quality plans. It was an Eclipse-based plugin or an Eclipse-based desktop app. As part of the implementation, we used both of these tools.

Increasing internal knowledge about using the tool and providing the right resources for data profiling would give the entire team a good start.

Overall, I rate the solution a nine out of ten.

I think most vendors have similar capabilities. One great feature with OmniGen is the time it takes to develop and deploy to production. It has a faster lifecycle compared to other similar products. The data quality engineers are really very efficient and it has great address features. 

The special integration support is something that could be improved in the solution. I'd like to see a good data catalog or metadata management feature within OmniGen. With their new partnership, I'm expecting to see those features available as part of the MDM and data quality platform. I think they're planning to fill that gap.

I've been using this solution for about five years. 

This is a stable solution, I haven't seen any issues with that aspect, no glitches, failures or anything like that. 

This is a scalable solution. 

I would rate the technical support highly, they are very good. 

The initial setup is straightforward. 

I'm unsure about licensing costs but I know it basically varies based on how big the organization is and how big the data is. They have multiple models. 

The solution is like any other MDM implementation products. Generically, they have to have instep in mind with respect to how they either cleanse data, otherwise master data is going to be consumed by downstream applications or reporting applications. 

I would rate this solution a nine out of 10.