We believe the most critical enabler of our success lies in leveraging continuous feedback from our customers and at every step in the analytical process. Our customers bring invaluable knowledge and insights to our projects, and close collaboration ensures our efforts align to their goals and objectives.
Data science and analytic capabilities are tools employed to solve problems and achieve objectives. We focus our efforts on understanding the objective from the outset of any project and keep alignment to the objective at the forefront of our efforts throughout the analytic lifecycle. Our mission is to develop solutions that drive proactive decision-making for our customers that enable their success.
Analytic projects involve bringing together multiple disparate datasets and applying complex tools and techniques in an iterative process to generate results. Taking a disciplined approach to document ground rules and assumptions as well as the process flow of the analysis ensures all stakeholders have a thorough understanding of our approach. Rigorous documentation highlights the optimal ways to use the analysis, as well as any limitations, and supports easy maintenance and reuse of the model for future use cases.
Our solutions are not developed as ‘black boxes’ that only work under a narrow set of conditions. We let our customers get ‘under the hood,’ demonstrating what we did, how we did it, and why. Model transparency promotes trust in the output, giving our customers to act on the analysis and recommendations with confidence. In addition, we understand the highly dynamic nature of the problems we are solving, the inputs available, and the assumptions needed to build a solution. To that end, we develop analytic products with flexibility in mind, allowing for ‘plug and play’ updates to the model as our knowledge of the problem set is refined.
