Siemens Smart Grid Unit, Teradata Announce Global Strategic Partnership for Data in Utility Sector

Siemens Smart Grid Division and Teradata

today announce a global strategic cooperation in the field of big data. Through this collaboration Siemens Smart Grid further optimizes its portfolio of solutions which will provide energy utilities with a much higher level of transparency on the status and activities in their networks. This will enable the customers of Siemens Smart Grid to improve reliability of their infrastructure and to run their grids more efficiently in an increasingly cost-sensitive environment. "Based on the broadest smart grid technology portfolio and our leading position in energy automation and meter data management, we know which data are key to an optimized operation of networks. Combined with Teradata's expertise in analytic data solutions, we can provide our customers with relevant and valuable information allowing them to make faster and significantly more informed decisions," said Dr. Jan Mrosik, CEO of Siemens' Smart Grid Division. Teradata's Unified Data Architecture™ (UDA) is a secure and cost-effective framework for smarter data management, processing, and analytics that enables utilities to exploit all their big data – as huge quantities of data are called today. Data of this scale are generated when utilities operate infrastructure which the Siemens Smart Grid Division has upgraded from traditional networks to smart grids, with enhanced automation, new sensor technology, communication systems, and software applications. A good example are Smart Meter: 1,000,000 of these devices alone can produce a data volume of up to several petabyte a year. According to IMS Research today there are 178 mln smart meters for energy installed, until 2016 this number is expected to rise to 343 mln. While utilities face an increasingly challenging business environment, the emerging IT evolution in the energy sector is proving to be a key competitive solution for utilities. To remain competitive and able to meet ever changing regulatory and economic requirements, utilities have to utilize both technological and commercial data generated at ever shorter intervals to optimize their systems. Only the ability to collect, organize and analyze this volume and variety of high-velocity data in a way relevant and accessible to business will bring real value to utilities.