Actuate And YASH Technologies Launch Connector For SAP BW To Provide Easy Access, Retrieval And Integration With BIRT

Actuate Corporation (NASDAQ: BIRT) The BIRT Company delivering more insights to more people than all BI companies combined, and YASH Technologies – a leading technology services and outsourcing partner for medium and large global customers, today announced immediate availability of the SAP BW Connector for BIRT. The native plug-in was built using the Eclipse-based ODA framework, and is the latest in a series of BIRT-based connectors for popular data sources. The SAP BW Connector for BIRT features an intuitive GUI similar to the BIRT and ActuateOne ® interfaces, and enables users to easily configure queries to SAP Business Warehouse (BW). The data retrieved can then be combined inside ActuateOne products with data of any magnitude or complexity, including Big Data from sources such as machine logs and social media.

“As a premier partner of Actuate and multi-level partner of SAP, YASH is well poised to take advantage of technologies from the two companies to create this connector. With years of experience in developing products and supporting large enterprises worldwide, we felt there was a strong need for a connector which would enable access to SAP BW data using the Eclipse-based ODA,” said Gautam Gupta, BI Practice Director for YASH. “This connector enables SAP BW customers to extend their data outside of the SAP environment to use BIRT and ActuateOne for analytical and reporting purposes, thus significantly increasing their return on investment.”

“The SAP BW Connector for BIRT is designed for any BIRT developer or IT organization looking for an easy and intuitive way to integrate SAP BW data with BIRT or ActuateOne,” said David Rosenbacher, Vice President of Worldwide Sales Engineering for Actuate. “Once the connector has been configured, it is quick and easy for developers to begin accessing SAP BW data by performing native queries. Prior to availability of this connector, accessing the proprietary SAP multidimensional data was known to be challenging.”

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