SAP Information Steward vs. SAS Data Management

SAP Information Steward is well suited for companies looking for profiling data, monitoring data quality and managing policies. It provides dashboards and features to create the awareness on Data Quality dimensions. SAP IS is not suited to manage huge amount of data due to performance issues. It is not designed to correct data by its own. However, It can remediate data through integration with SAP Master Data Governance or SAP Data Services.

Incentivized

When data is in a system that needs a complex transformation to be usable for an average user. Such tasks as data residing in systems that have very different connection speeds. It can be integrated and used together after passing through the SAS Data Integration Studio removing timing issues from the users' worries. A part that is perhaps less appropriate is getting users who are not familiar with the source data to set up the load processes.

Incentivized

• Audit trail management of Metadata to ensure due diligence with respect to the quality of data
• Control features and identification of risk wrt data
• Ready recknor in form of advance bi reports for procurement and costing kpi
• Flexible comparison and filter functio ality across cross organisation data

Incentivized

• SAS/Access is great for manipulating large and complex databases.
• SAS/Access makes it easy to format reports and graphics from your data.
• Data Management and data storage using the Hadoop environment in SAS/Access allows for rapid analysis and simple programming language for all your data needs.

Incentivized

• More real-time integration scenarios needed.
• Needs more generic standard content for metadata management.
• The user interface can be more intuitive based on AI.

Incentivized

• Requires third-party drivers to connect to common data sources like SFDC, MS SQL, Postgres.
• Debugging errors from the logs is a complicated process.
• E-mail alert system is very primitive and needs customization to make it more modern,
• Cannot send SMS alerts for jobs.

Incentivized

Out of the box solution

Incentivized

We are happy with the software and its functionality. As a SAS-shop, DataFlux is a logical choice for complex data integration.

It provides out of box solution for information management at organisation level

Incentivized

The main negative point is the use of a non-standard language for customizations, as well as the poor integration with non-SAS systems. However, there is no doubt that it is a high-performance and powerful product capable of responding optimally to certain requirements.

Incentivized

It worked as expected.

Incentivized

I believe many features from SAP Information Steward are available in other SAP products as well hence it is more confusing for business or customers to do the right selection. Moreover SAP strategy is not very clear for this particular product hence often we are confused while exploring more related scenarios

Incentivized

With SAS, you pay a license fee annually to use this product. Support is incredible. You get what you pay for, whether it's SAS forums on the SAS support site, technical support tickets via email or phone calls, or example documentation. It's not open source. It's documented thoroughly, and it works.

Incentivized

Ready recknoer tools that act as reference are missing that can help to formulate ;Decision Driven Framework' for various strategic decesions

Incentivized

Both are great products and I highly recommend both

Incentivized

Because of ease of using SAS DI and data processing speed. There were lots of issues with AWS Redshift on cloud environment in terms of making connections with the data sources and while fetching the data we need to write complex queries.

Incentivized

• Improvement on Organization Data Quality
• Real time Data Quality Issues discovery
• Data Policies effective management

Incentivized

• We have more users who can connect to the many different data sources.
• Our users do have existing SAS programming knowledge and that can carry over.
• Business functions are starting to rely on SAS Data Integration Studio work product shortly after introduction.

Incentivized