We have applied computer science and operations research in various capacities to develop solutions for energy and commodity trading, risk management, and commercial optimization. Our approach leverages advanced analytical techniques, primarily through open-source software and affordable computers, to pragmatically solve complex commercial problems. Some might refer to this as the "geek way" as it is relatively fast and cost-effective. However, we have frequently observed that traditional organizations struggle to implement this approach effectively. The primary barrier is often cultural. The pragmatic nature of the approach can highlight inefficiencies within the organization, revealing missed opportunities or expensive IT initiatives that failed to deliver as promised.

Based on trading floor experience, a more successful and ultimately cost-effective path to digital transformation for traditional organizations involves identifying high-impact areas where digital solutions can add significant value. Creating a "start-up" environment within the organization—focused on collaboration, innovation, openness, and continuous learning—can effectively drive digital and commercial transformation.

Check out this article for a deeper exploration of our digital transformation perspective.