Key Challenges Plaguing CIOs of the Energy Segment to make Data Driven Decisions

Key Challenges Plaguing Cios of Energy Segment

Key Challenges Plaguing CIOs of the Energy Segment to make Data Driven Decisions

In this blog post, you will learn about the key challenges grappling the energy industry as the focus on Renewable energy grows. We specifically present a view in the challenges of a CIO and what his key goals are when identifying a key solution for data driven decision making. The post then discusses Locuz’s Data to Insight solution and its offering and how it covers key requirements of the business leader and helps scale their business, followed by an example of how a leading renewable energy company is using this solution to reshape the future.

  • The volume of data being produced across distributed and intelligent devices
  • Variety of data that could span different systems and formats
  • Velocity of data from real-time data to a traditional batching approach
  • Data silos and not having a single source of truth
  • Data quality and integrity issues can lead to trust issues, wrong modelling, and worst case, wrong business decisions.
  • Path to experimenting with the right solution is complex, time-consuming & expensive
  • Time for meaningful insight is too long.
  • Decisions between Reskilling team’s vs bringing on partners can be a complex balance to maintain.
  • Lack of knowledge & skills in modern IoT, Cloud, AI/ML & Data tools, and architectures.

Keeping the existing challenges and KPI’s in mind, Locuz designed and implemented a highly scalable AWS data pipe and across 4 pillars, Data Ingestion, Data Lake Hydration, Data Visualization and Analytics.

You can read a full coverage of the solution and more about the Greenko story on the AWS blog (

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