menu
more detail

Faster trading decisions

Commodity trading business

Gaining a competitive edge through speed

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 on budget.

We were approached by a UK-based business that had an issue with data organisation. Its existing platform was not enabling it to make trading decisions fast enough – and this was impacting its business. The new solution would need to enable the business to meet industry data compliance regulations while enabling near-real-time data processing from a myriad of sources.
A Data Lake had already been identified as a well-suited solution by the company’s data engineering team. However, without relevant experience and busy with other pressing operational matters, it would have to shift its focus. This would have a negative impact on the business, so the business recognised the need to bring in additional expert help. The Data Phoenix team designed a solution that would address the issues identified.

We brought in the necessary expertise and delivered a solution based on our Data Lake on AWS framework. We helped the company to improve the speed of decisioning, improve data organisation and meet compliance requirements to deliver the Data Lake on time and 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

Solution

Benefits

Unleash the Power of Your Data

If you’d like to know more about how we can help you architect and implement a solution that helps you unleash the value in your data, please get in touch.

Click for learn
More About us

Contact Us  

Ready to put AI to work on your data? Get in touch with the DataPhoenix team.