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Data Lake

110

Years in Electric Utility Service

5K

Employees

4 MM

Customers

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Business Need

  • System integration & development
  • Develop program schedule
  • Develop Data Lake
  • Extract, Transform, Load (ETL)
  • Functional Design and Requirements
  • Data Governance
  • Proof of Value

Challenge

  • Multiple operating Utilities across various states
  • Identification of source systems
  • Several instances of similar/same systems
  • Custom and legacy systems
  • Non-standard information models
  • Different business use methods of systems
  • Security zones of critical systems
  • Confidentiality of customer information
  • Client with a high volume of emergent operational activities
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Business Strategy Image

Solution and
Results

  • Developed a strong understanding of business requirements and use cases
  • Identified source systems and necessary data to satisfy use cases
  • Developed strong vendor and client relationships
  • Developed functional and data requirements based on use cases
  • Identified data extraction methods and tools