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
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    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
  • 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

Data Integration Roadmap to Support Big Data and Analytics
Board of Directors’ Dashboards – Navigation or naiveté?
OllieBray.com: Microsoft Bing Maps augmented reality demo at the TED 2010
Why Data Analysis Is the Key to Link Building Success
How Can Workforce Analytics Drive Strategic Business Decisions?

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

ai for building crypto banks
Building Your Own Crypto Bank with AI
Blockchain Exclusive
julia taubitz vn5s g5spky unsplash
Benefits of AI in Nursing Education Amid Medicaid Cuts
Artificial Intelligence Exclusive News
AI role in medical industry
The Role Of AI In Transforming Medical Manufacturing
Artificial Intelligence Exclusive
b2b sales
Unseen Barriers: Identifying Bottlenecks In B2B Sales
Business Rules Exclusive Infographic

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

How the Cloud is Changing the Data Center’s Bad Reputation for Energy Inefficiency

10 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
machine learning in energy sector
Artificial IntelligenceExclusive

3 Ways Digital Transformation is Revitalizing the Titans of Energy

5 Min Read

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

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

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?