Oracle's Business Intelligence Discoverer is an ad- hoc query and analysis reporting tool oriented for end users to have easy access to relational and multi-dimensional data. The product is now end of life. The vendor has stated that Discoverer 11g release 11.1.1.7.0 is the terminal release of Discoverer.
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SAP Predictive Analytics
Score7.7 out of 10
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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.
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Pricing
Oracle Discoverer (discontinued)
SAP Predictive Analytics
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Oracle Discoverer (discontinued)
SAP Predictive Analytics
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Features
Oracle Discoverer (discontinued)
SAP Predictive Analytics
BI Standard Reporting
Comparison of BI Standard Reporting features of Oracle Discoverer (discontinued) and SAP Predictive Analytics
Feature
Oracle Discoverer (discontinued)
7.9
20 Ratings
3% below category average
SAP Predictive Analytics
-
Ratings
Pixel Perfect reports
8.017 Ratings
00 Ratings
Customizable dashboards
7.717 Ratings
00 Ratings
Report Formatting Templates
8.020 Ratings
00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Oracle Discoverer (discontinued) and SAP Predictive Analytics
Feature
Oracle Discoverer (discontinued)
7.9
22 Ratings
1% below category average
SAP Predictive Analytics
-
Ratings
Drill-down analysis
7.021 Ratings
00 Ratings
Formatting capabilities
8.022 Ratings
00 Ratings
Integration with R or other statistical packages
7.514 Ratings
00 Ratings
Report sharing and collaboration
9.020 Ratings
00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Oracle Discoverer (discontinued) and SAP Predictive Analytics
Feature
Oracle Discoverer (discontinued)
8.3
22 Ratings
1% above category average
SAP Predictive Analytics
-
Ratings
Publish to Web
8.021 Ratings
00 Ratings
Publish to PDF
9.020 Ratings
00 Ratings
Report Versioning
9.018 Ratings
00 Ratings
Report Delivery Scheduling
8.022 Ratings
00 Ratings
Delivery to Remote Servers
7.716 Ratings
00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Oracle Discoverer (discontinued) and SAP Predictive Analytics
Discoverer is well suited as a reporting tool where data integration doesn't play a major role. Discoverer suits very well situations where a user has to run a query every day. Discoverer reports can be scheduled and the user can just view the data instead of running the query manually. Also, Discoverer takes away the pain of managing the database credentials. Discoverer is not well suited to situations where the whole enterprise wants to view the same dashboard. Discoverer is more of a departmental BI tool. Discoverer doesn't offer many options to integrate data unless one has to create and handle integration using PL/SQL.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
It doesn't require you to have a Ph.D. to build models!
You can use it to address a very large and wide dataset without worrying about sampling.
Automation is in the product DNA. You can prepare your data, ingest it into the "Kernel", then get insights about what was found, decide to publish it and schedule scoring tasks or model refresh in the same product.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The documentation provides an explanation about what features are available but not necessarily what's happening behind the scenes. On the other side, the "community" has grown since the acquisition and most questions are properly addressed by SAP folks. Since the "product maintenance" mode announcement was made, there wasn't much new content published except on the Smart Predict side (which is built by the SAP Predictive Analytics team)
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Discoverer was already in place when I joined the company so I was not involved in the selection process. However, I have been involved in the review of Discoverer as compared to alternatives including Business Objects, OBIEE, and SSRS. On a cost benefit analysis Discoverer always came out on top. Changing to another tool never provided enough additional functionality to overcome the cost of conversion and ongoing maintenance.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We have typically used Spotfire for data analysis but decided to move to SAP Business Objects due to its innate connection with SAP. I found Lumira to be good for visualizations but it is not meant for data analysis. Therefore, we have introduced Predictive Analytics to see if it can fill that gap. So far, it's been far less intuitive than Spotfire to get started, and as far as I am aware so far, it does not bring many additional capabilities. I do, however, like that it utilizes the Lumira look/feel and integrates very well.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We have used Discoverer to respond to state sales and use tax audits and saved the company more than the cost of the product. Discoverer has thus assisted in our objective of managing costs.
Discoverer is used to provide reports for EEOC reporting assisting our goal of complying with all government requirements.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info