Overall Satisfaction with SAP Analytics Cloud
SAP Analytics is currently used across all departments (finance/HR/sales) of client I support. We have designed various stories and applications as well on sales/finance/HR data showcasing different KPIs, Top N contributors, Geo-Map data points. There is not much additional work needed as the same story can easily be seen using mobile or tabs by business users. Business users loved the smart capabilities of SAC wherein they type any query in Natural Languages and it produces relevant graphs to users.
Recently I have done POC on HR data for them to identity probable employees who could leave organization. The POC went well so we are asked to implement the same. I used built classification-in for addressing Attrition problem which resulted in 83% accuracy. Client has asked us to do a POC using regression if we can predict number of copies to be printed considering various factors like historical data (sports event/elections/or other catastrophic events).
Suggestion:
However I feel SAC can be more effective if more modelling capabilities are provided. Integration with R is good but SAP should think of Python integration as well, reason being Python is more user friendly and capable of doing all what R does.
Recently I have done POC on HR data for them to identity probable employees who could leave organization. The POC went well so we are asked to implement the same. I used built classification-in for addressing Attrition problem which resulted in 83% accuracy. Client has asked us to do a POC using regression if we can predict number of copies to be printed considering various factors like historical data (sports event/elections/or other catastrophic events).
Suggestion:
However I feel SAC can be more effective if more modelling capabilities are provided. Integration with R is good but SAP should think of Python integration as well, reason being Python is more user friendly and capable of doing all what R does.
- Natural language processing.
- Geo-spatial enrichment.
- Support to mobile/tabs.
- Easy user interface.
- Prediction capabilities.
- R integration.
- Application building.
- Dashboarding.
- Complete descriptive statistics about business using stories.
- Modelling capabilities.
- Python integration should be included.
- Model rebuilding losses all data validations/transformation and too much of rework.
- Superb.
- Big returns.
- Application/dashboards/planning/prediction in single tool.
Single tool to have all built in capabilities of reporting, planning & prediction. Ease of usage to business users as no need to sign in on different tools for different kind of analytics. Easy integration with SAP Source systems for importing data. Natural Language Querying makes it more apt for business where in reports are to be presenting soon and user can present using mobile as well.
Do you think SAP Analytics Cloud delivers good value for the price?
Yes
Are you happy with SAP Analytics Cloud's feature set?
Yes
Did SAP Analytics Cloud live up to sales and marketing promises?
Yes
Did implementation of SAP Analytics Cloud go as expected?
Yes
Would you buy SAP Analytics Cloud again?
Yes