We're using the solution for reference data, master data management. To basically implement data governance around the reference data.

One of the big initiatives is to capture all the information that the branch operations team is looking to capture. Or operational information or reference data. We're a credit union. We're like a bank. It's all about managing the data of the branches, and the ATMs, and some of the business partners that are at the branches.

I use TIBCO EBX as an MDM tool in my company.

We are using TIBCO EBX for the data governance of our accounting system.

I am using TIBCO EBX to build a business and administrator EBX tool.

We have multiple sets of data coming in from various upstream systems, SAP being one of the main and most dominant systems. We have non-SAP as well, such as Microsoft systems, Oracle Database, and some other legacy databases. We need an MDM tool where we can merge the data and get the main records out of it after merging and matching everything.

The tool has merge and match features and allows us to get the golden record out of it as a single source of truth and then use it as a master of our data, as a Master Data Management tool. We also stored the Data Governance Rules using the information Governance Add On.

TIBCO EBX comes with the capability to capture business metadata. 

We are trying to achieve is to have customer vendors fill in various master data. It will be used across the enterprise and will be used for sourcing from a different data sources. Currently, we are working through this process and providing master requests.

There are a lot of possible use cases for this Master Data Management tool.

I use this program in my work in the pharmaceutical industry. We develop projects around a product master in the company.

I am a consultant, my job is to implement this solution. I deploy the on-prem and cloud models. 

Deployment is super quick. Turn around time is great. The product uses Java as its underlying platform, so integration with external apps is easily achievable. With a huge amount of data (multi-million rows in a table), the tool may slow down.