Success Story


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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The challenge

The main objective of the initiative was to equip Uniper for the future challenges of responding quickly to constantly changing market developments. The new MDAP system enables Uniper to more effectively support the Market Analytics team, to respond more rapidly and comprehensively to business and market challenges and ultimately to grow the data economy within Uniper.

The solution

Creating a Highly Scalable, Platform-based Data Ecosystem Designed to Enhance Market Responsiveness and Lower Operational Costs by at least 30%.

The MDAP initiative leveraged Digiterre’s extensive experience in delivering enterprise-level trading and risk platforms and cloud architectures. MDAP is Azure-based PaaS (Platform as a Service) and uses a Snowflake database to store the market and derived data. The system has been architected to support the anticipated high levels of future growth in data volumes, the increasing number of data sets and the ever-increasing demand for more rapid analysis.

In the words of our client

We greatly appreciated the experience that Digiterre has in rich trading data environments like hedge funds and banks, operating in small self-sufficient teams and driving the project forwards efficiently, consulting with us throughout the project lifecycle and ultimately, delivering. Digiterre were very helpful in producing multiple prototypes, working in a very Agile manner and iteratively – this was very effective in terms of expectation management for us. Finally, they spoke very capably with our business stakeholders, speaking their language, being very helpful and efficient, enabling us to commit minimal business resources on our side. I would have no hesitation in working with Digiterre again.

Volodymyr Sorokoumov - Big Data Architect and Analytics Solution Delivery Manager