SAP DI - A quick review
November 30, 2020
SAP DI - A quick review

Score 8 out of 10
Vetted Review
Verified User
Overall Satisfaction with SAP Data Intelligence
We are implementing SAP DI for large customers to manage their ML ecosystem. The DI system will be used for hosting homegrown models and also building newer ones from scratch. We are connecting SAP and Non SAP systems to DI. Inferences from DI would be used to support key business decisions.
Pros
- Data orchestration from diverse sources.
- Good inbuilt support to develop models (Jupyter Notebook).
- Data pipelines, container architecture for deployment.
- Tools for data cleansing.
- Ability to port existing ML models into DI.
Cons
- Product support documentation and blogs can be better.
- Debugging can take a bit of time to understand and pinpoint issues.
- Can be pricey.
- Positive impact of reducing cycle time for supply.
- Predict customer churn.
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?
Yes
Would you buy SAP Data Intelligence again?
Yes
Comments
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