See the full list of Top Predictive Analytics Vendors
If you have a predictive analytics need, chances are good that SAS has an advanced data analytics product tailored specifically for that need. Its range of capabilities are unparalleled, although the opaque pricing makes it somewhat difficult to comparison shop. It has data mining tools suitable for both advanced data scientists and line-of-business professionals.
However, while it serves both market, its deep strength is full-fledged, robust predictive analytics applications. If you’re an enterprise with a budget, SAS can service your Big Data needs.
SAS Advanced Analytics dominates the predictive analytics market. According to IDC, SAS has a 30.8 percent market share, which is double that of the nearest competitor. And Gartner ranks SAS as a leader for data science and machine learning.
Advanced Analytics is actually a portfolio that encompasses a whole host of analytics products. The ones most useful for predictive analytics purposes include SAS Enterprise Minder, SAS Factory Miner, SAS Machine Learning on SAS Analytics Cloud, SAS Model Manager, SAS Predictive Modeling Workbench for SAP HANA, SAS Visual Statistics, SAS Visual Data Mining and Machine Learning, SAS Analytics Pro, SAS/ETS, SAS/IML, SAS Econometrics, SAS Forecast Server, and others.
Features vary by which product(s) from the portfolio you purchase. Key features for SAS Visual Statistics include the following:
SAS Enterprise Minder, SAS Factory Miner, SAS Machine Learning on SAS® Analytics Cloud, SAS Model Manager, SAS Predictive Modeling Workbench for SAP HANA, SAS Visual Statistics, SAS Visual Data Mining and Machine Learning, SAS Analytics Pro, SAS/ETS, SAS/IML, SAS Econometrics, SAS Forecast Server, and others.
Integrates with other SAS tools, Python, R, Lua, Java, Teradata, SAP HANA.
Public or private cloud or on-premises.
Organizations of all sizes, particularly in banking, retail, government and health care.
Pricing available on request. Free trials available for some products.
| SAS Advanced Analytics | |
|---|---|
| Editions Available | SAS Enterprise Minder, SAS Factory Miner, SAS Machine Learning on SAS® Analytics Cloud, SAS Model Manager, SAS Predictive Modeling Workbench for SAP HANA, SAS Visual Statistics, SAS Visual Data Mining and Machine Learning, SAS Analytics Pro, SAS/ETS, SAS/IML, SAS Econometrics, SAS Forecast Server, and others |
| Key Features | • Descriptive and predictive modeling • Open, code-based model development • Dynamic group-by processing • Model comparison, assessment and scoring • Distributed, in-memory analytical processing • Flexible deployment |
| Integrations | Other SAS tools, Python, R, Lua, Java, Teradata, SAP HANA |
| Delivery | Public or private cloud or on-premises |
| Target Market | Organizations of all sizes, particularly in banking, retail, government and health care |
| Price | On request |
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