Business Self-Service Analytics for Data Discovery and Verification
November 17, 2022
Business Self-Service Analytics for Data Discovery and Verification
Score 8 out of 10
Vetted Review
Verified User
Software Version
SAP Data Intelligence
Overall Satisfaction with SAP Data Intelligence
The main purpose of the usage of SAP DI in our platform is to have the Lineage end-to-end from Reporting to Source origins, building Data Catalog for users to enable self-service analytics for Exploration and Discovery, Data Quality assessments and take effective decisions.
- Lineage at the object level
- Pipeline build for Data Integration
- Data Catalog for self-service analytics
- Lineage at attribute(column) level to help Impact Assessment (just like SAP Information Steward)
- Lineage on non-SAP sources could be a game changer, most of the companies fail in this area which will be an eye opener for customers like us.
- on Data Integration space, Provide Detailed Road Map on SAP DI compared to SAP Data Services(aka BODS) and SAP SDI
- we are very new and i think it will make a significant capability in the Data Catalog and Lineage space in our Org to start with.
Data catalog capability and Lineage
Do you think SAP Data Intelligence delivers good value for the price?
Not sure
Are you happy with SAP Data Intelligence's feature set?
Yes
Did SAP Data Intelligence live up to sales and marketing promises?
Yes
Did implementation of SAP Data Intelligence go as expected?
I wasn't involved with the implementation phase
Would you buy SAP Data Intelligence again?
Yes
SAP HANA and we would like to use more in the future.