A Highly Scalable, Platform-based Data Ecosystem

Digiterre worked in close partnership with Uniper’s Market Analytics and Data Management teams to develop the new Market Data Analytics Platform (MDAP) with the aim of creating a step-change in the speed and quality of data analysis and reporting generated by the Market Analytics team for use by the company’s traders and market analysts and to thereby keep Uniper’s energy trading business well ahead of the competition in these everchanging markets.

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Challenges

The project addressed a number of challenges:

  • Enhance Uniper’s ability to correlate and model ever-larger and more diverse near-realtime data sets.
  • Derive greater value from this vast quantity of data, in less time.
  • Reduce the operational costs and complexities associated with market data analytics.
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Key Attributes of Our Solution

  • Greater flexibility in the modelling of very diverse data sets using a wider range of time series methodologies, such as event-based, multivariate and matrix time series.
  • Granular control of data usage, encompassing authentication, authorisation and auditing.
  • The native Cloud-based architecture reduced operational costs while providing scalability and performance.
  • Much greater flexibility and ease of customisation which in turn, facilitates high levels of user adoption.
  • User-configurable reporting options, which allow for the scaling-up or down of reporting outputs according to business needs for example, on a daily basis or even near-time.
  • The ability for users to leverage powerful analysis tools, such as Tableau, Azure ML, Databricks and via developing a bespoke Excel Add-In.
  • API’s to support the future extensibility of MDAP

Key Benefits

  • Over 150 active users
  • 700 + reports
  • 15+ billion data points
  • 15+ TB of data and growing rapidly
  • 270, 000 time-series objects
  • More than 250, 000 data sources
  • 30% reduction in operational costs
  • 10x performance improvements
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In the words of our client

Digiterre spoke very capably with our business stakeholders, speaking their language, being very helpful and efficient, enabling us to commit minimal business resources on outside. I would have no hesitation in working with Digiterre again.

Volodymyr Sorokoumov

Big Data Architect & Analytics Solution Delivery Manager

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