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SAP Predictive Analytics is, as the name would suggest, a statistical analysis and data mining platform that can be deployed with SAP HANA.https://dudodiprj2sv7.cloudfront.net/product-logos/Kx/1h/KQTWL6U92CQ1.JPEGBit of black box and quite hard to get started (even for data analysts!)We have purchased PA but are in the process of proving its worth. It was brought in with the hope of being able to forecast work that is currently done manually, to give an 80% complete starting state that can be altered vs. starting completely from scratch. Additional use cases that will be explored include using historical data to predict trends going forward, which can be used as thresholds to then limit the scope of the investigation. The plan is to use it across our finance organization and even beyond depending on the outcome of our POCs.,Ability to use built-in algorithms or expand using R. This means that (with training) casual users can take advantage but also data analysts can do their thing! Integration and consistency with Lumira. Even Lumira on its own has a quick 'predict' functionality (although limited/black box) Ability to do the analysis and then present visually using the Lumira visualization capabilities,It's extremely hard to get started. We even have a data scientist who, when we put Predictive Analytics in front of them, they could not intuitively create a data model and start analyzing. Even with deep knowledge of data analysis, the interface isn't intuitive and it's hard to get to the point of having imported a data set and start analyzing/predicting Our platform team had confusion installing Predictive Analytics, particularly on the BI Platform. Additional complexity came when it came to using APL Libraries (AFL Wrapper or Stored Procedures) We are still working on merging datasets. In theory, we get how to do it but we come across all sorts of issues which don't occur in Spotfire (missing records etc.),6,It will potentially save time in forecast creation by giving an algorithm-derived forecast which can then be adjusted vs. starting from scratch. We can call this, a system enabled forecast Thresholds can be created based on historical data to flag actuals as in/out of the 'norm', or to limit the scope of an investigation We spent a lot of time so far and haven't got very far with it - it's been quite frustrating to use and a lot of time/money has been invested,TIBCO Spotfire and SAP Lumira,SAP Lumira, SAP BusinessObjects BI Platform
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SAP Predictive Analytics
8 Ratings
Score 7.0 out of 101
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SAP Predictive Analytics Reviews

SAP Predictive Analytics
8 Ratings
Score 7.0 out of 101
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Josh Anderson profile photo
March 27, 2018

SAP Predictive Analytics Review: "Bit of black box and quite hard to get started (even for data analysts!)"

Score 6 out of 10
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We have purchased PA but are in the process of proving its worth. It was brought in with the hope of being able to forecast work that is currently done manually, to give an 80% complete starting state that can be altered vs. starting completely from scratch. Additional use cases that will be explored include using historical data to predict trends going forward, which can be used as thresholds to then limit the scope of the investigation. The plan is to use it across our finance organization and even beyond depending on the outcome of our POCs.
  • Ability to use built-in algorithms or expand using R. This means that (with training) casual users can take advantage but also data analysts can do their thing!
  • Integration and consistency with Lumira. Even Lumira on its own has a quick 'predict' functionality (although limited/black box)
  • Ability to do the analysis and then present visually using the Lumira visualization capabilities
  • It's extremely hard to get started. We even have a data scientist who, when we put Predictive Analytics in front of them, they could not intuitively create a data model and start analyzing. Even with deep knowledge of data analysis, the interface isn't intuitive and it's hard to get to the point of having imported a data set and start analyzing/predicting
  • Our platform team had confusion installing Predictive Analytics, particularly on the BI Platform. Additional complexity came when it came to using APL Libraries (AFL Wrapper or Stored Procedures)
  • We are still working on merging datasets. In theory, we get how to do it but we come across all sorts of issues which don't occur in Spotfire (missing records etc.)
It's a great tool to merge actual data analysis (which Lumira doesn't do that well) with visualization (which Lumira does well) - so it can be seen as Lumira for data analysts. However, a lot of the 'predictive' side is hidden/black box which can be frustrating for those analysts, so you could argue it is too complex for casual users, but too 'black box' for analysts.
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SAP Predictive Analytics Scorecard Summary

About SAP Predictive Analytics

SAP® Predictive Analytics software brings predictive insight to business users, analysts, data scientists, and developers in your company. The products offers predictive automation, allowing customers to unlock the potential of Big Data from virtually any source. By automating the building and management of sophisticated predictive models to deliver insight in real time, this software aims to make it easier to make better, more profitable decisions across the enterprise.

SAP Predictive Analytics Features

Has featureAutomate analytics with Python API
Has featurePublish predictive models to business applications
Has featureSupport data privacy to achieve legal compliance

SAP Predictive Analytics Competitors

SAP Predictive Analytics Technical Details

Operating Systems: Unspecified
Mobile Application:No