Simba Technologies to Showcase Along-side SAP Using Microsoft Excel with SAP HANA for In-memory Analysis on Massive Amounts of Data at BI 2012 ConferenceFebruary 21, 2012
Vancouver, BC – February 21, 2012 – Simba Technologies Inc. – industry’s choice for standards-based relational and multi-dimensional data connectivity on in-memory, cloud and big data – announced today that it will co-present a session with SAP at SAP’s BI 2012 conference in Las Vegas, Nevada. The conference session, entitled “Guidelines for Leveraging SAP HANA with Microsoft Excel for Improved Report Presentation and User Satisfaction,” will demonstrate SAP HANA’s in-memory analytics, cloud and standards-based MDX interface paired with Excel’s familiar interface for comprehensive BI reporting.
Simba’s MDX Query Language Technology Enables Direct Connectivity between BI Applications and SAP HANA
The MDX Query Language is the standard for analyzing multi-dimensional data. Simba’s MDX query language technology powers SAP HANA’s MDX interface, connecting HANA with popular BI products such as Microsoft Excel PivotTables. MDX unleashes the full potential of this analytical platform and enables users to directly access and analyze big data using SAP HANA. Join Simba and SAP at this BI 2012 conference session to learn how to connect the BI application of your choice to SAP HANA to analyze massive amounts of data with this new, flexible, multi-purpose, in-memory computing platform.
Simba’s MDX technology supports MDX 2005, making it the most advanced, licensable technology of its kind. This is the same technology that powers solutions like Kognitio Pablo, Oracle OLAP and Teradata OLAP.
For more information on Simba’s MDX query language technology, visit: http://www.simba.com/olap-sdk.htm.
Track Session 2:
“Guidelines for Leveraging SAP HANA with Microsoft Excel for Improved Report Presentation and User Satisfaction”,
Presented by Amyn Rajan, Simba Technologies Inc. and Uwe Fischer, SAP AG
Friday March 2, 2012 from 10am-11:15am
This session offers best practices for exploiting the in-memory and multi-dimensional query handling capabilities of SAP HANA directly in Microsoft Excel. Step through examples that show how to integrate Microsoft Excel’s familiar and intuitive user interface with SAP HANA for real-time data exploration. Walk through detailed demos that illustrate the best ways to leverage Microsoft Excel’s data selection capabilities, multi-dimensional display, hierarchical navigation, and other visualization options when using SAP HANA as a data source.
Get tips for leveraging the MDX provider in SAP HANA to populate Microsoft Excel spreadsheets, and see how this ensures the timeliness and accuracy of delivered reports. Discover the best ways to extend real-time data access to Microsoft PowerPoint through Microsoft Excel PivotTables and PivotCharts.
About SAP BI 2012
SAP’s BI 2012 conference is an annual event and a collaboration of SAP and SAP Insider. It offers high quality, practical content that you can immediately put to use on the job. Experts from SAP, independent consultants and customer-led case studies provide a 360-degree perspective on SAP technology that cannot be found any place else. BI 2012 is the most important event of the year for IT professionals that manage, deploy and support SAP environments. Visit www.sapbi2012.com for more information.
About Simba Technologies Inc.
Simba Technologies (http://www.simba.com) is the recognized world leader in standards-based data access products, solutions and services for both relational and multi-dimensional data sources. Simba provides data connectivity solutions to many of the world’s leading companies on various platforms, including Windows, Mac, UNIX, Linux and many mobile device platforms. Simba’s data connectivity products support multiple interfaces, including ODBC, JDBC, OLE DB, OLE DB for OLAP (ODBO), XML for Analysis (XMLA), ADO, ADO.NET, ADOMD and ADOMD.NET.
Simba’s software is used worldwide. Its customers include leading independent software vendors and global enterprises like SAP®, Microsoft®, Oracle®, Infor® and Teradata®.
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