A huge amount of rich data will be generated by the millions of smart devices being deployed as part of utility smart grid projects. Many utilities are asking themselves what they can do to harness this deluge of data to make more intelligent operational and business decisions. Vendors, meanwhile, are flooding the market with data analytics solutions, hoping to help utilities solve these problems. Some of the most important questions being considered today relate to how this data could be used to address the real business issues related to customer satisfaction, interval meter data, grid optimization, asset management, and the integration of renewables.
Smart grid data analytics plays a central role when it comes to recognizing a positive return on investment in a smart grid deployment. Featuring research director Carol Stimmel along with Alyssa Farrell, manager of energy and sustainability solutions at SAS, this webinar helps make sense of these questions by examining the solutions, market drivers, and inhibitors that utilities are grappling with as they make decisions about investments in data analytics technologies and services.
- Smart grid data analytics market forces and inhibitors
- Smart grid data analytics technology considerations
- Smart grid data analytics global market forecasts
- Vendor approaches to smart grid data analytics
- Smart grid data analytics case studies
What does this webinar answer?
- What are the key market forces that are defining the opportunity for smart grid data analytics?
- What are the technology considerations with regard to smart grid data analytics?
- How large is the smart grid data analytics market opportunity?
- How does SAS see the opportunity for smart grid data analytics?
- How does the SAS solution address advanced smart grid analytics?
Who needs to attend?
- Smart grid technology companies
- Utility service providers and systems integrators
- IT hardware, software, and service providers
- Government agencies
- Industry associations
- Investor community