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  3. Improving Data Lineage and Self-Service Management Information through Modern Data Ecosystem Adoption
modern data ecosystem adoption

Case Study | Technology

Improving Data Lineage and Self-Service Management Information through Modern Data Ecosystem Adoption

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About the Customer

One of the leading American energy services providers, which had rapidly grown through several acquisitions in recent years, wanted to optimize and rationalize their heterogeneous data assets. The firm has 8000+ employees and multiple lines of business, generating energy from various sources. The company inherited a complex and diverse systems landscape through mergers and acquisitions and wanted to drive enterprise-wide transformation.

Business Challenge

The incredible increase in data size and complexity has made data processing a complex operation for energy institutions. Adding to the challenge are mergers and acquisitions that bring to the table, dissimilar infrastructures as well as disparate ecosystems. This mostly impacts business processes, complicating data management and gleaning information from it. For our client it also meant increased IT infrastructure cost, operational time, and data security are a few complications that could disrupt its entire set-up. The challenges include:

  • The increasing total cost of ownership in the existing on-premise model
  • Isolated and disparate systems/data sources
  • Heterogenous data
  • Data loading performance
  • Licencing cost of a Tera database
  • Report rationalization
  • Lack of advanced analytics for data monetization.

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