 | |  | | Doug Henschen | | | | | There were few surprises in the rankings in a "Forrester Wave: Big Data Predictive Analytics" report released last week, but the analyst firm had urgent advice for SAS, IBM, and eight other vendors evaluated in the report: Make predictive analytics more accessible to business users.
The 10 vendors in the report are, in Forrester's ranked order, SAS, IBM, SAP, Tibco, Oracle, StatSoft, KXEN, Angos Software, Revolution Analytics, and Salford Systems. The rankings are based on 51 evaluation criteria rolled up into 13 overall scores on current product offerings, company strategy, and market presence.
In addition to providing abstracted, business-user-oriented interfaces, the path to eliminating complexity from predictive analytics--whether from commercial products or open-source environments like R--will be to take advantage of automation and machine-learning, Forrester said. The idea is to automatically test a variety of algorithms and implement the most effective ones without forcing users to go through complex, iterative testing.
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Doug Henschen
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