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Space-Time Insight's Situational Intelligence Software Becomes an SAP-Endorsed Business Solution [Global Data Point]
[July 08, 2013]

Space-Time Insight's Situational Intelligence Software Becomes an SAP-Endorsed Business Solution [Global Data Point]

(Global Data Point Via Acquire Media NewsEdge) Space-Time Insight, the leading provider of next-generation situational intelligence solutions, today announced that its award-winning geospatial and visual analytics software – Space-Time Insight Asset Intelligence – is now an SAP-endorsed business solution. Using Space-Time Insight Asset Intelligence together with the SAP® ERP application and SAP HANA® platform can enable organizations to make faster, more informed decisions utilizing data that spans enterprise and real-time operational systems. Hydro One Networks, the largest electricity transmission and distribution company in Ontario, Canada, uses Space-Time Insight Asset Intelligence with SAP software to visualize and analyze data. This implementation is also a showcase of an alliance between Accenture and Space-Time Insight.

With Space-Time Insight's situational intelligence solutions – including Space-Time Insight Asset Intelligence – users can quickly extract rich meaning from disparate and vast sources of data at rest and in motion (such as information from environmental, enterprise, GIS, social, and operational systems) and view and analyze it in holistic, multi-dimensional visual applications across space, time and nodes in a network or grid. This is especially important for businesses such as utility, energy, transportation and logistics companies that need to constantly assess the condition, performance and reliability of their assets, as well as respond rapidly to unfolding events that impact planning, operations and delivery of their goods and services.

"For many years enterprises have been leveraging the rich set of capabilities that SAP solutions have to offer," said Rob Massoudi, senior vice president, Business Development at Space-Time Insight. "Space-Time Insight Asset Intelligence integrates the data in those solutions with many operational systems; visualizes it using sophisticated geospatial, temporal and nodal techniques; and applies real-time and predictive analytical models to help give enterprises the business-wide insight they need to be able to make fast, informed decisions under even the most extreme conditions." Solutions endorsed by SAP AG are complementary to SAP software offerings, have been specifically integrated with SAP solutions and tested by SAP, and provide additional choices and flexibility for businesses running SAP software. SAP-endorsed business solutions are offered by SAP partners. Space-Time Insight Asset Intelligence supports SAP solutions including SAP HANA, SAP NetWeaver® Business Warehouse (BW), and SAP ERP.


"Utilities are facing challenges from aging infrastructure, a changing power mix, the regulatory environment, severe weather events and more," said Henry Bailey, global vice president, Utilities Industry Business Unit, SAP. "Space-Time Insight Asset Intelligence integrated with SAP HANA and SAP ERP extends our customers' investments in SAP solutions, and is expected to help prepare them to overcome these challenges and arm them with the information they need to help make timely decisions in the face of massive volumes of data across many different business and operational systems." Jack Azagury, managing director, Accenture Smart Grid Services, said, "Leading utilities like Hydro One are finding ways to harness the massive amounts of valuable grid data to maximize asset performance and achieve operational excellence. Space-Time Insight is enabling this visibility and Accenture Smart Grid Services is working with utilities globally to integrate their operations and information technology, and leverage analytics to help turn data into insights and actions that help them deliver superior returns on their asset investments." (c) 2013 Global Data Point. All Rights Reserved. Provided by Syndigate.info an Albawaba.com company

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