Dockit Metadata Manager vs. SAP Information Steward

In data conversion scenarios, the tool can be used for data profiling, data quality and data verification jobs. However, implementation depends on what implementation strategy or approach the company is adopting. In real-time scenarios, the tool can be used for generating data profiling and data quality reports as well. Business rules for data quality checks can be built into the tool and can be assigned to end or business users.

Incentivized

• Data Profiling
• Data Quality Monitoring
• Dashboards

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

Out of the box solution

Incentivized

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

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

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

Incentivized

In the case of this organization, Information Steward was part of a suite from SAP together with Data Services and SAP Master Data Governance. In terms of the overall package it was worth it for the company. Informatica cost was higher and the overall benefit from SAP package was the key decision point.

Incentivized

• Improved data flaws
• Catching mistakes in data
• Reduced technical errors

Incentivized