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Faster trading decisions

Commodity trading business

Gaining a competitive edge through speed

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Improve the speed of decision making & compliance

Outcome. A data lake on AWS built on our delivery framework, processing data from many sources in near real time, so trading decisions are no longer waiting on the platform. The design meets the industry’s data compliance requirements, and the client’s own data engineering team stayed on its operational priorities while we delivered, on time and within budget.

A UK commodity trading business approached DataPhoenix with a data organisation problem. Its existing platform could not support trading decisions fast enough, and the business felt the impact. The new solution had to meet industry data compliance regulations and process data in near real time from many sources.
The company’s data engineering team had already identified a data lake as the right solution. They lacked the relevant experience and were busy with pressing operational work, and shifting their focus would have hurt the business, so the company brought in expert help. DataPhoenix designed a solution to address the issues identified.

DataPhoenix delivered a solution based on its data lake on AWS framework. The company now makes decisions faster, has better organised data and meets its compliance requirements, and the data lake was delivered on time and within budget.

Want to learn more? The platform decisions behind this work are the subject of data platform consulting, and the build itself follows our AWS data lake services. For how the data was organised, see AWS data lake layers explained.

Goals

  • Make faster trading decisions
  • Gain an edge over the competition
  • Understand the market and the business better
  • Deploy an easy-to-use and dependable solution without losing focus on existing projects

Solution

  • Ingest data into the data lake’s simple storage repository
  • Process data in real time using AWS serverless services and an interactive query service
  • Modular solution tailored to business needs
  • Easy to understand and use deployment workflows
  • Process data when you need it, using the wide range of tools available on AWS

Benefits

  • Fast, accurate and innovative business decisions that drive revenue
  • Reduced cost of ownership thanks to a ‘reuse data’ approach; pay only for one copy stored
  • Production-ready environment delivered quickly
  • Cost and time savings during the project from the DataPhoenix data lake framework, compared with building a similar solution in-house from scratch
  • Adding new ingest layers needs no significant involvement from the operations team

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