10 Enterprise Predictive Analytics Platforms Compared
A detailed comparison and ranking of 10 enterprise predictive analytics platforms: FICO, IBM, KXEN, Oracle, Revolution Analytics, Salford Systems, SAP, SAS, Statsoft, and TIBCO (Spotfire).
By Gregory Piatetsky, Aug 16, 2013. Here is an updated version of Martin Butler rankings, with the main difference that Oracle went from 3.5 stars to 4 stars overall and 5 stars for existing customers.
Butler Analytics published (July 17, 2013) a detailed comparison of 10 enterprise predictive analytics platforms.
Here are the analytics platforms, in order of decreasing ratings, and alphabetically for equal ratings:
- IBM (5 stars),
- Revolution Analytics, Statsoft (4.5)
- Oracle (4 overall, 5 Existing Oracle users)
- FICO, KXEN, Salford Systems, SAS, TIBCO (4)
- Oracle Advanced Analytics, SAP (3.5)
IBM, 5 stars
The IBM analytics solution will primarily be of interest to large organisations looking for more than a point solution, and wanting to create a viable, long term analytics infrastructure and capability … The IBM solution also includes SPSS Data Collection Family, IBM SPSS Statistics, IBM SPSS Modeler, and InfoSphere, which addresses more than predictive analytics requirements. …
Revolution Analytics, 4.5 stars
Real analysts use R … the most widely used, and arguably the most powerful analysis software on the planet. Revolution Analytics has taken this Open Source wild child and turned it into something the enterprise can use with relevant support, training and enhanced productivity. … A community edition of Revolution R is available for free. It doesn’t come with the visual tools or database interoperability, but it is faster than the Open Source version. …
Statsoft 4.5 stars
Statsoft is best known as the supplier of Statistica. This comprises a large set of statistics and data mining tools with over thirty separate products within the Statistica portfolio. The company sees itself as a somewhat less costly, but equally capable alternative to SAS and isn’t shy about telling the world when a customer moves over from the SAS camp. …
Oracle Advanced Analytics, Overall 4 stars, Existing users 5 stars
Not surprisingly Oracle provides a full repertoire of technologies to handle data mining and statistical analysis, with or without big data. This is mostly put under the Oracle Advanced Analytics umbrella, encompassing predictive analytics, text mining, statistical analysis, data mining, mathematical computation and visualisation. Key to the approach taken by Oracle is the notion of in-database processing – they were originally a database company after all. This means that processing happens in the database environment and that data extraction is unnecessary. However it is unlikely that any organisation would want to run its data mining activities in the same environment as the transactional systems, and so there is an implication at least that data is extracted to a data warehousing, or other environment.
Oracle provides two routes to analysis:
1. Oracle Data Mining revolves around SQL and the actual modelling environment, Oracle Data Miner, comes as an extension to Oracle SQL Developer. It supports most of the usual data mining algorithms with the exception of neural networks – oddly enough. Support vector machines feature strongly, and the range of algorithms is adequate but not as extensive as some other offerings.
2. Oracle R Enterprise extends the database with a library of R functions and makes database tables and views available to the R environment as native R objects. Oracle positions this as addressing statistical analysis, but in reality R encompasses many data mining algorithms – more than Oracle Data Mining. …
FICO, 4 stars
Fraud detection and customer credit worthiness are two of the primary themes in the application of its technology, but the portfolio is so broad that most business problems will be addressable. …
KXEN, 4 stars
Although a recent marketing makeover seems to have deprived prospects of learning what is under the hood, … there are some heavy duty algorithms working to make sure that predictive models are valid (Structural Risk Minimisation techniques). This is a heavy duty product suitable for large organisations in the main, although recent cloud based offerings make it accessible to smaller businesses. …
Salford Systems, 4 stars
Salford Systems delivers a portfolio of products capable of traditional descriptive analytics and predictive analytics. What distinguishes this company is the lack of hype around the technology it offers and a willingness to discuss the pitfalls and traps associated with predictive analytics – which ironically is a prerequisite for successful analytics. …
SAS, 4 stars
In a sense there is almost nothing to say about SAS and the analytics space – it does everything. What is probably unique to SAS is the speed at which new techniques are adopted. Singular spectrum analysis is a glaring omission in many analytics packages, but it was incorporated into SAS with lightning speed (SSA is useful for trend and cycle analysis).
To complement this very broad range of capabilities SAS provides a number of vertical solutions. These address financial services (particularly fraud and financial crime), customer analytics, governance and compliance, supply chain intelligence, and several others. …
TIBCO, 4 stars
Unlike many of its competitors Spotfire provides a full arsenal of visual and computational analytics tools. These deliver powerful analytical capabilities ranging from the preparation and distribution of data visualisations, to the development and implementation of sophisticated data mining models. …
SAP, 3.5 stars
Organisations wedded to the SAP way of doing things will probably choose SAP Predictive Analytics. The consolation is that SAP has very sensibly integrated R into its analytics offering. The front-end is a Windows client that makes the modeling process more user friendly and is integrated into SAP’s Visual Intelligence offering …
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