Data Strategy, Measurement & Decision Intelligence
What should we collect, measure, connect, and use to improve decisions?
Many organizations already have substantial data. The challenge is knowing whether they are collecting the right things, whether systems connect, whether definitions are consistent, which KPIs actually matter, and whether reporting helps anyone make a better decision.
BPDI helps design the measurement and data environment around the decisions the organization needs to make. That can mean improving an existing system, connecting fragmented sources, designing new capture points, or building a repeatable measurement process from the ground up.
BPDI may examine source systems, CRM data, ticketing, registration, POS, websites, campaign platforms, surveys, operational systems, existing dashboards, reports, data definitions, KPIs, collection methods, consent and permissions, ownership, data flow, reporting cadence, decision workflows, and gaps in the evidence currently available.
The work starts with the decision and works backward into what should be collected, connected, governed, and measured.
- Data strategy
- Measurement strategy
- KPI architecture
- Source-system mapping
- Data-gap analysis
- Data-capture design
- Tracking architecture
- Tagging and analytics configuration
- Data integration and normalization strategy
- Reporting-system design
- Dashboard requirements and reporting architecture
- Signal frameworks
- Measurement governance
- Source and provenance documentation
- Recurring monitoring
- Decision workflow design
- Implementation roadmaps
For festivals, campaigns, physical experiences, and other live environments, BPDI can design systems for recurring data capture and analysis so each cycle builds on the last rather than starting over.
Deliverables may include a measurement plan, KPI framework, source map, data-capture architecture, tracking plan, reporting design, signal framework, governance structure, dashboard requirements, recurring measurement system, or prioritized implementation roadmap.
The objective is to leave the organization with a stronger system for producing evidence, not just another one-time analysis.