Analytics in Utilites will impact the Operational and business models over the next few years
More and more data will be generated by Grid and Customer applications,Analytics play a vital role in deriving the efficiency by various tools.
1. Long term analytic strategy : All the current systems in Utilities are project based . Long term strategy would be to concentrate on the fusion of Opertationlal technology with Information Technoglogy by leveraging analytics . Implemetation of Analytic tools will improve the business value
2. Customer Engagement Models and services : The current model of communication should be changed to advanced Customer communication with Multiple channels . Enablement of Social networking channels like facebook, twitter via mobile integration in utilities will have better insights and satisfcation results . Example Outages
3. Optimize The Grid : Utilities must evaluate the Grid and Optimize for better efficiency. Advanced Analytics strategies and tools will stream line the data for better results.
Smart Grid Data Analytics – Players in the market
1. IBM
2. SAS
3. Teradata
4. EMC
5. SAP
6. ORACLE
All the players are promising to transform the way utilities mangaze with the huge flood of data which is big data coming through Smart Meters, sensors, relays ,substation control systems and any other grid technologies. Also there are some untapped resources like customer information data, Work force data with Mobile integration, social networking, business process data
Challenges and capabilities
Theft detection, outage restoration, Mobile workforce for utility field workers
Load balancing , line loss, volt/VAR Management and prective modeling for grid operators
