The Challenge:

Different year, same financial constraints. Nearly every school faces the daunting task of achieving positive student outcomes while simultaneously managing budgetary shortfalls. A school district in Pennsylvania found themselves spending more time discussing the need to save money than the ability to implement a savings strategy. How can you achieve savings with limited resources, limited negotiations professionals, and no way to confirm where or how many savings you are going after?

The Choice:

Our gain share pricing model was a major factor in choosing to move forward. With the only costs for service being a portion of the savings recovered, the district is able to achieve savings without pulling resources from their traditional roles and day to day activities. They are adding a full data science and negotiations team focused on every savings opportunity driven by data. The optimization of fixed costs for school districts is vital, especially when attempting to plan around ever-changing budget allocations.

The Analysis:

The models, algorithms, and artificial intelligence deployed within the Data are intuitive enough to understand the entire vendor ecosystem from any organization’s general ledger. In this instance, the intelligence identified, mapped, and benchmarked every negotiable vendor rate above the norms and averages from like size education institutions. The analysis not only generate savings, but also benchmarked savings from vendors, the district was certain their rates were best in class. The annual savings projection was meaningful enough to move forward, saving time, resources, and money.