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SAP's New Analytics Editions Will Unlock More Value from "Big Data"

By SiliconIndia   |   Thursday, 27 September 2012, 09:46 Hrs
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Bangalore: SAP AG, a market leader in enterprise application software, announced new analytics software that bundlesSAP BusinessObjects business intelligence (BI) solutions and the SAP Sybase IQ server, a high-performance data foundation designed specifically for analytics. The solutions help organizations of all sizes gain better insight into "big data" with advanced data visualization, self-service data discovery, mobile BI and predictive capabilities.

SAP currently offers the following analytics editions:

•    SAP BusinessObjects Business Intelligence suite, analytics edition
•    SAP BusinessObjects Business Intelligence platform, analytics edition
•    SAP BusinessObjects BI, Edge analytics edition
•    SAP Crystal Server, analytics edition

"With the new analytics editions of SAP BusinessObjects BI and SAP Crystal solutions, customers can start driving their own decision revolutions more cost-effectively than ever before," said John Schweitzer, Senior Vice President and General Manager, Analytics, SAP. "As technologies such as BI, data warehousing and data integration continue to come together, organizations large and small are looking for end-to-end solutions that can turn 'big data' into 'intelligent data' and quickly answer any business question. The analytics editions take this even further by offering the expert content they need to accelerate return on investment."

Analytics editions are highly scalable so they can evolve with organizations as their data and analytics needs grow. This can be important for small and midsize (SME) companies that traditionally face many challenges when entering the field of data analysis. Analytics editions of SAP BusinessObjects BI solutions and SAP Crystal solutions package data warehousing and data integration products with best-practice content and use cases tailored for key industries and lines of business. Whether on desktops or mobile devices, the easy-to-use tools let people quickly discover, access, manipulate and analyze transactional data in enterprise systems, machine- or device-generated data and Web data. They can even help analyze data from social networks such as Twitter to understand public sentiment about their products and services.


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