How data is managed and stored, key data sources and assets, current effort to integrate data, key challenges
Analytics
foundation
Analytics
execution
Analytics
value creation
Data
How and where analytics are resources organized, who leads, team size, how experienced, external analytics partners, key challenges
Skills
Which tools are in use across BI & analytics, how they support analytics processes and product enhancements, key gaps
Tech/Tools
How BI and reporting are managed, level of self-service, functions and divisions primarily served
BI/Reporting
Use of predictive analytics, machine learning and AI, how models are developed and maintained, model quality, key partners
Advanced Analytics
Usage of analytics across the target, strategic commitment to value from data
Analytics Culture
How/if analytics activities are aligned to top-level strategic priorities
Strategic Alignment
How BI/analytics are in use directly in target’s products and services, which capabilities are customer-facing
Products
How analytics is being used/planned to support target’s strategic roadmap, how analytics initiatives are scoped and prioritized
Roadmap