Our primary use case of SAP is for data governance, access management, and historical reporting. We're a global enterprise company that uses multiple solutions. We have about five or six of them in place right now, some of which are direct competitors to SAP. 

We are customers of SAP and I'm the information protection senior adviser.

Our primary use case is for data quality assessment. We are partners with SAP and I'm the senior manager, SAP Data Services. 

I do not recall which version we are using. 

We use the solution for data profiling for customers and contacts in respect of contact data.

My primary use case is writing and implementing rules for customer information across our enterprise.

SAP Information Steward is a data quality tool. We use the solution to build data quality rules to detect issues in source systems. The solution has many components, the data inside that is being used for data quality and data that is being used for the business glossary and metadata management. 

Information Steward has a component called, 'Metapedia' that describes technical fields in business terms. It is equivalent to a business glossary in other systems. 

When we see a business intelligence report, we want to be sure that the figures we are seeing are consistent with the transformation. We want to be able to see where the number is coming from. For example, we want to know if the data is from an ERP and is being transformed by an ETL and then loaded into a warehouse. Using metadata management in the Information Steward, we can see all of these steps. 

SAP Information Steward also has a cleansing package that helps in the matching process in data services. For example, the name of a person. In many systems, the same person can have their name displayed in many different ways. In one system an individual could be Bob Smith, in another system it could be Bobby Smith and another could show Robert Smith. The cleansing package will try to get all of these synonyms in one place and link it to a standard one. By applying these cleansing packages in data services, we are able to consolidate all the different terms into just one.

My main use case is to further our data quality monitoring. We are also using this solution to write business rules for the data in clients' systems and find the quality of the score they have in their system.

My primary use of SAP Information Steward is for S/4HANA business progress.

We were developing the profiling reports on the basis of the source data that we were getting from our legacy system, and those profiling reports we shared with the business. Once we got the input from them, once they validated the data, that would be the kind of data that we have to access accordingly.

We were using SAP BODS and gathering extraction criteria. Similarly, there were a couple of rules that we were validating in the SAP Information Steward as well.

For the most recent project that I was working on with SAP Information Steward, we did the data profiling and created the rules, and then eventually presented the results on the scorecard.

As a client, they will want to look at their data and the quality is important. We do the data profiling to show them how their data looks. Eventually, we will be facilitating the rules from the business, the other business users, and the functional people. We incorporate those rules into SAP Information Steward which allows us to show the clients the data versus the rules that they have given us. We show them through a scorecard, it is like a dashboard.