The company had made a series of significant and successful investments in people and technology to develop greater capabilities in predictive analytics and program evaluation. Most recently, the company had invested in a new cutting-edge platform to further enhance analytic output.
The migration to the new technology presented opportunities and also a host of challenges, including a lack of standards and best practices associated with the new analytics platforms. As a result, the data science team had been unable to transition key analyses to the new, more powerful platform.
Meanwhile, the business was requesting more analytics support, but with limited understanding of the level of effort and complexity required to fulfill these requests.The data scientists were arguably the smartest people in the room, but even they were struggling to keep pace. They needed a new approach to operationalizing the analytics program, and quickly.
The leader of the company’s data science and healthcare analytics team selected Navigate to position the group for sustained, scalable success within just seven weeks. Navigate began with an assessment of the architecture of business applications and key data flows, followed by a review of the team’s current operating model and skills matrix, and recommendations for a new operating model to better support the strategic goals of the broader organization.
Through close collaboration with the data science team, the group established analytics governance, program management, and communication processes, culminating in a playbook for project intake, prioritization, resource allocation, and deployment of new analytical models. Navigate also developed a roadmap for further action, which has since guided the group’s continued progress.
The outcomes? A completed transition to the new technology platform, enabling greater return on investment. A team more effectively engaged with stakeholders across the business. Increased executive-level awareness of the data science group’s positive impact on the business. Improved efficiency through an emphasis on reusability, automation, and rapid deployment of models. The group would continue to grow and change, but now – more than ever – this company was fit for the future: ready to capitalize on the opportunities ahead.