SAP Data Intelligence Review
December 10, 2020

SAP Data Intelligence Review

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with SAP Data Intelligence

We are calculating daily, monthly and yearly expenses for our department, basically all our expenses, inventory counts, and corrections. It is the heart of my business reporting and we use it more than once an hour to solve problems. The benefits are impossible to count as so many people rely on SAP Data Intelligence.
  • The best thing about SAP is that we can track our daily expenses in very little time.
  • This affects my business even more than Microsoft 365.
  • It updates us on our expenses and sales daily.
  • I wish it the acronyms made more sense.
  • Sometimes it's functionality is little bit slow.
  • Data integration services with other machine language tools were more complex. Workflows could have been simplified on this front.
  • It has been only once that we got stuck while using bulk data but the issue was resolved by their support team.
  • Easy manageable data handling and anytime access delivers the best output results.
  • Cost management has now become a leading ROI within our division.
SAP Data Intelligence is the most powerful and advanced technological tool for data intelligence. It has many smart techniques to develop algorithms to support and run data models. We are using this tool to design and run the data models to make crucial decisions in our business and stay ahead of the curve.

Do you think SAP Data Intelligence delivers good value for the price?

Yes

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?

No

Would you buy SAP Data Intelligence again?

Yes

We were trying to break the silos of data and have one data lake to have one source of truth. SAP Data Intelligence did help in accomplishing that. It offers great features such as it can create data pipelines for data integration and can easily compose data processing. It can operationalize machine learning. It can monitor data processes. It is very useful in governing metadata, including data profiling, fact sheet, business rules, and business glossary. It is self-service data preparation, including labeling and rating data.