Siemens Smart Grid
Division and Teradata TDC 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.
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