Features and Opinions

The grid gets smarter with predictive analytics

A robust analytics framework helps utilities make sense of granular data in near real time. Our expert, Subroto Kar, makes a business case for service-oriented architecture (SOA)-based predictive analytics to transform grid operations, in EnergyPulse.

The components of a flexible and scalable next-generation analytical solution include:

  • Key performance indicators (KPIs) to drive improvement
  • An enterprise information model for data management
  • Integrated enterprise applications that support an enterprise service bus (ESB) for seamless process flow
  • Modern database machines that combine data warehouse and online transaction processing for cost-effective data storage and access

Published with the permission of EnergyPulse

Author profile

Subroto Kar

Subroto Kar, Practice Manager, Oracle, Energy, Utility and Services practice, Infosys

Subroto has more than 25 years of experience in IT strategies and next-generation solutions for energy, utilities and services (EUS) companies. A regular speaker at international conferences, Subroto is on the panel of judges of several forums, including the Oracle Applications User Group (OAUG) UK. He can be reached at

Related reading

Blog: Should analytics be a strategic system in smart grid initiatives?

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