Context and objectives
A large insurance and banking group needed a strategic vision for open data within six weeks.
Our objective was to generate and prioritise use cases by level of ambition against business topics and objectives, and to propose a technical solution, an operating model and an implementation roadmap.
Outcome
- An open data strategy shared by all stakeholders, with 10 prioritised use cases, two of them ready for imminent launch.
- A summary document to support the CEO's decision to launch the programme.
Our approach
Step 1: audit
- Around 40 interviews and workshops
Step 2: prioritisation
- Prioritisation of use cases according to the group's strategic orientations on its main pillars: environment, healthcare, regulation, etc.
Step 3: recommendation
- Proposal of two technical solutions
Our experts
Other case studies
All case studies- Unlocking value from alternative data Using non-traditional data sources for pricing in insurance Read the case study →
- Data-driven price optimisation Algorithmic pricing for an international insurer Read the case study →
- Pricing strategy with competitor open data Competitive analysis from open data and machine learning models for a national insurer Read the case study →