• BlueStar Energy chooses Mule to simplify complex data sources
  • Industry: Energy
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    Case Study
    • Challenge
    • BlueStar’s energy products and pricing schemas are differentiated by its ability to buy energy in a competitive fashion from wholesale suppliers, then deliver that power to its customers over a highly reliable electric distribution infrastructure. BlueStar’s information technology systems are in a constant state of collecting and disseminating data from numerous sources. The information supports a number of processes ranging from customer enrollment and provisioning, to supply forecasting and procurement, to customer care and billing, to sales force automation, to organizational financial management ... just to name a few. It’s a very information-intensive, dynamic business environment with a number of associated integration challenges. Millions of dollars in revenue are tied to timely access to information and the ability to act on that information.
    • Solution
    • BlueStar uses Mule to insulate internal systems from the complexities of the numerous incoming datasources, and to handle the transformation and routing heavy-lifting requirements.
    • Result
    • The Mule ESB transforms incoming data (from weather feeds to energy pricing, and numerous other disparate data feeds and formats) so that BlueStar’s supply systems understand how to react. After the supply systems generate appropriate scheduling for the various transmission operators, the Mule bus then routes the data to the appropriate energy exchange market (whether MISO or PJM). Working with Mule offloads the processing and transformation complexities, and enables new semantic-based types of intelligent messaging for BlueStar.
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  • Travis Van

    MuleSource

    August 10, 2007

Creative Commons License   This work is licensed under a Creative Commons Attribution 3.0 License.
 
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