LBP, one of the world’s leading sports advisory trading companies, was looking to enhance its real-time analytics capabilities for its rapidly expanding business. As ever more data became available, management wanted to develop sophisticated state-of-the-art, deep-insight, data-driven decision-making tools, to inform and enhance trader decisions beyond traditional business intelligence tools. LBP engaged Halfspace to assess, analyse, prioritise and develop a data ecosystem following the "From Data to Decision Making" process.

By examining internal and external data, Halfspace has helped LBP improve performance within the organisation. To do this we extracted, cleaned, and standardised data from more than 100 sources to create an advanced data ecosystem. We built data-driven decision-making processes developing several advanced algorithms and models based on the data ecosystem. We now analyse and capture data through a variety of advanced business intelligence and analytics tools. The solution was built on Microsoft Azure to ensure a scalable, low-latency platform infrastructure.

The advanced data-analytics tools developed by Halfspace now support LBP and their stakeholders at all levels - from operational to managerial, helping them delivering the best advices and decisions on behalf of their clients. The partnership between LBP and Halfspace has been ongoing for several years and has now embarked into a new phase where Halfspace are currently developing several machine learning algorithms and prediction models to better forecast the outcome of live sports.