Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Analytics is Key to Energy Industry
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Analytics > Analytics is Key to Energy Industry
Analytics

Analytics is Key to Energy Industry

Brett Stupakevich
Brett Stupakevich
4 Min Read
SHARE

Southern 150x150 photo (big data)Since energy was a top issue in last night’s State of Union address, we wanted to emphasize that analytics will play a key role.

Southern 150x150 photo (big data)Since energy was a top issue in last night’s State of Union address, we wanted to emphasize that analytics will play a key role. As deregulation in various states helps to open up competition, energy companies have tremendous opportunities to expand their customer and revenue bases. On the flip side, deregulation also ushers in competition for many companies that have enjoyed monopolies or near monopolies and suddenly find themselves competing to retain the same captive customers they’ve had for years.

Energy companies in states where deregulation has occurred can use analytics to better understand and target customer needs in a number of ways. For instance, decision makers and data scientists at energy companies can use analytics to better understand how residential, commercial, and industrial customers are using energy and to help tailor rate offers geared to meet their specific needs. For instance, some manufacturers that operate during the graveyard shift (11 p.m. to 7 a.m.) could be offered more attractive rates to power their machinery.

Forward-thinking energy companies can also use customer analytics to help identify customers (residential, commercial, industrial) that may be attractive candidates for specific smart grid technologies and services. For instance, an analysis of a cross section of residential customers and their energy usage in a particular neighborhood that’s being targeted for the deployment of intelligent meters can help a power company determine which customers might be the best potential candidates.

More Read

analytical culture
Analytical Cultures: Nurture Yours Through Training
The Fascinating Intersection Of Social Media, Big Data And Forex Trading
TwitPolls: Some Relevance for Enterprise Technologists
D.E. Shaw Article
Marketing Optimization with LityxIQ

In addition, analyzing the past energy consumption and other usage trends of specific industrial customers (and prospects) can help identify other types of smart grid technologies and services such as smart building technologies that may be of interest to certain customers.

In today’s fast-changing markets, it’s become critical for energy companies to be able to respond to real-time market and customer information. The use of real-time data and analytics can help power companies to respond to even subtle shifts in the market and provide customers with up-to-the-minute offers and services.

The use of customer data and analytics also offers energy companies attractive opportunities to analyze customer segments and then provide relevant and meaningful offers based on that information (e.g. high value customers that show a propensity to respond to green energy offers).

Customer analytics offer energy companies multiple opportunities for developing stronger and tighter relationships with customers. This includes opportunities to more effectively identify and communicate the benefits of smart grid and green technologies to consumers. Moreover, energy companies can also use analytics to extend beyond evaluating customer billing and usage information to help pinpoint customer trends.

Energy providers can mine the rich set of unstructured data such as recorded contact center discussions and social media insights shared by customers to help develop a more granular understanding of their needs and preferences.

In an upcoming post, we’ll discuss how combining cloud computing and data analytics allows a utility to gain insights into the needs of its subscribers at a level never before possible. Subscribe to our blog to be alerted.

TAGGED:electricityenergy
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

sales and data analytics
How Data Analytics Improves Lead Management and Sales Results
Analytics Big Data Exclusive
ai in marketing
How AI and Smart Platforms Improve Email Marketing
Artificial Intelligence Exclusive Marketing
AI Document Verification for Legal Firms: Importance & Top Tools
AI Document Verification for Legal Firms: Importance & Top Tools
Artificial Intelligence Exclusive
AI supply chain
AI Tools Are Strengthening Global Supply Chains
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

machine learning in energy sector
Artificial IntelligenceExclusive

3 Ways Digital Transformation is Revitalizing the Titans of Energy

5 Min Read

Should We Monetize Personal Energy Consumption Data?

6 Min Read

Smart Systems for Future Communities

6 Min Read
machine learning in energy sector
ExclusiveMachine Learning

New DoE Program Drives Demand For Machine Learning Programmers

7 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?