SAP was named "Big Data" predictive analysis leader
Source: Internet
Author: User
KeywordsPredictive analysis large data nbsp;
"IT168 Information" January 24, 2013, SAP Company announced recently: "The Forrester wave:big Data Predictive Analytics FX, published in Forrester, Q1 2013 "(The Forrester wave:2013 first quarter Big Data prediction Analysis solution), SAP was rated as the leader in the field." In this selection, SAP has been hailed as the market leader by virtue of its strong architecture and strategy. SAP HANA the Memory computing platform for SAP as the core platform for its products, making it the top player among many competitors, according to sources.
"Thanks to the real-time insight and growing ecosystem of SAP HANA Platform, SAP has established a market leadership position in the field of large data prediction and analysis in less than two years." Steve Lucas, executive vice president and managing director of SAP Database and technology platform marketing, said, "SAP is committed to helping customers innovate with a new application that is intuitive, easy to deploy, and based on the SAP HANA real-time platform." ”
By referring to the 51 evaluation criteria, Forrester evaluated the strengths and weaknesses of 10 companies. These 51 standards reflect the requirements of the supplier in the "Big Data" predictive analysis solution. In addition, these standards cover other factors such as existing products, strategies and market share. The leading suppliers, Forrester says, not only provide a rich set of data analysis algorithms and a framework for processing large data, but also provide tools for data analysis throughout the predictive analysis lifecycle.
According to the report, SAP HANA the SAP Memory computing platform as the core platform of the product, including the Predictive Analysis Library (PAL) and modeling tools in the database, which makes SAP stand out in a competitive environment. ”
As a highly disruptive memory computing platform, SAP Hana helps businesses increase the speed of information access and delivery by 10,000 times to 100,000 times times, which helps businesses dig deeper into the business value of "Big data." With real-time insight, organizations can quickly respond to emerging business scenarios.
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