Data Products · APIs · Monetization
Turning proprietary financial data into a commercial DaaS platform
A product and commercial blueprint for packaging Proshare's proprietary company, market and sector data as licensable APIs and structured datasets — segmented by buyer, priced by usage, sold by capability.
Product Strategist · Data Product Lead
- Industry
- Financial Services
- Project Type
- Data Product Strategy
- Product Scope
- APIs · Datasets · Licensing · Portal
- Role
- Product Strategy · Data Products
In production·Full case study publishing soon. Preview below.
Request the long-form deck →The problem
What this project set out to solve
Proshare held deep, well-curated financial data — but it lived inside reports and editorial workflows rather than as discoverable, licensable products. Institutional buyers had no programmatic way in, and pricing, packaging and entitlements had not been defined.
Approach
How the work was structured
A pragmatic sequence — diagnosis through to build-ready specifications.
Inventory of the underlying data assets, freshness, lineage and rights.
Segmentation of institutional buyers and the questions each one buys data to answer.
Packaging into named products (APIs, datasets, dashboards) with clear entitlements.
Pricing and tier design grounded in usage patterns and willingness-to-pay.
Reference architecture for the API surface, data portal and developer experience.
Go-to-market plan and a phased delivery roadmap.
Scope
What was in scope
- Data inventory & asset map
- Buyer segmentation
- Product packaging & entitlements
- Pricing & tier model
- API surface & developer portal blueprint
- Go-to-market and sales motion
Deliverables
What the client received
Data asset inventory
Buyer segmentation
DaaS product catalogue
Pricing & packaging model
API reference architecture
Developer-portal requirements
Commercial model
Delivery roadmap
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