We do “strategic systems” work when our clients have an effective and agreed-upon strategy but are left with unanswered, important questions due to insufficient data. Webster Pacific helps hone the questions, organize and store data, and build elegant reports. Our development process often leads to major value enhancement because the data, reports, and systems are directly tied to critical strategic questions.
Question: Where should a charter school client direct it’s business development efforts?
Approach: Webster Pacific analyzed the client’s business development process and the internal and external data that impacted the Net Present Value (NPV) of new school projects. Critical data included funding, teacher’s salaries, and construction and facilities costs.
Result: Webster Pacific built a robust model, at the core of the client’s business development activities, that estimates the NPV of a new school project in every school district, in every state, where the client was interested in expanding.
Cost Reporting Intelligence
Question: How can a client improve its cost insights?
Approach: The client, a large farming company in California’s Central Valley, was having difficulty gaining cost insights. They needed to organize their data classifications, evolve their reporting capabilities, and create cost-per-acre metrics in order to have actionable data insights, which compare apples to apples, as it were. To address the client’s objectives, Webster Pacific created a prototype relational database that calculated performance metrics and created prototype reports that were self-managing, accessible, and easy to use. After a year of using our prototype database and reporting system, we built an enterprise cloud-based product called CRI (Crop Reporting Intelligence) that formalized the reports and data uploading processes. To complement this product, we also created a full work-order management system, in a web-based tool.
Result: The client’s ability to understand the critical costs to their business was significantly enhanced and, because they had used a prototype approach, were able to minimize their risk and gain confidence in the value of the data during the process.
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