Predictive analytics entry strategy

An analytics-driven investment firm building a healthcare BU needed to know which prediction use cases were actually worth building and a leadership team aligned behind the shortlist.

E252-182

Core questions used to frame each vertical

Situation

Need to understand market

Investment firm reliant on highly predictive analytics sought to build new BU focused on healthcare applications – their intent was to build predictive capabilities that would serve healthcare customers.
Leadership had many ideas for products across verticals (biotech, payer, provider and consumer), but limited exposure to healthcare industry.
Client sought to validate their hypotheses, identify additional opportunities and understand (rough estimate) value-capture potential and level of investment required.

Project

Opportunity map and deep dive

Developed a framework by which to build clear, organized view of opportunity landscape for each vertical.
Leveraged secondary resources and interviews with industry experts to map-out ~20 use cases in each vertical.
Narrowed opportunity list based on client parameters (re: data-type, prediction-timeline and core competency) to set of ~10 total use cases for deep dive.
Created tear-sheets on each lead opportunity, highlighting potential value, entry barriers, capabilities required, and selling factors.

~20 use cases screened per vertical

Scored shortlist used to align leadership

Outcome

Recommended use cases

Exec team empowered with better understanding of value and existing solutions for predictive analytics across healthcare industries.
Structured comparison of use cases, covering value-potential, capabilities required and competitive intensity facilitated nuanced and data-backed debate within leadership team.
Exec-team team aligned on which set of 3 use cases to prioritize and updated critical features defined by minimum viable product (MVP) plans.

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