01) Which statement best describes the state of your organization's data?

• Poor quality, inconsistent or sub-standard data across most systems
• Good quality, structured data; but separated by departments and function areas
• Good quality, structured data, standardized across the organization
• Data consolidation, data archival and data governance processes are in place

02) Which best describes decision makers' access to data?

• Data has to be requested, prepared and consolidated before being available, taking several days to a few weeks to obtain (whether raw or formatted)
• Data takes a few days to be consolidated before being available (whether raw or formatted)
• Data is available in raw form (e.g. Excel or CSV formats)
• Data is available in a structured, analytical form (e.g. in a data warehouse, data model, cube)

03) How is analytics provided to decision makers?

• Different tools and solutions are used to varying extents throughout the organization (e.g. spreadsheets, slide decks, system-generated reports & dashboards)
• Dashboard-driven across most of the organization (e.g. Power BI, Qlik, Tableau, custom dashboards)
• Dashboard-driven, and self-service analytics across most of the organization (e.g. business users do their own analysis and create their own dashboards using data models, cubes etc.)
• Dashboard-driven, self-service analysis, and advanced analytics infused solutions across most of the organization (e.g. in addition to the above, AI-based predictions/forecasting are integrated into dashboards)

04) Are organizational KPIs and business measures tracked across each business function?

05) Are consolidated dashboards with data from multiple systems available across each business function?

06) Are self-service analytics using data from multiple systems available across each business function?

07) Are advanced analytics solutions (AI-based or predictive/forecasting) available across each business function?

08) What tools are used for day-to-day analytics?

• Excel (including for data preparation)
• Power BI/Tableau/Qlik etc. (including for data preparation)
• Multiple data mart/warehouses combined with Power BI/Tableau/Qlik etc.
• A comprehensive data/analytics platform combined with Power BI/Tableau/Qlik etc.
• A comprehensive data/analytics platform combined with Power BI/Tableau/Qlik etc. and predictive/prescriptive analytics

09) What infrastructure is used for analytics?

• Only on-premises
• Mostly on-premises, partly on the cloud
• Somewhat on-premises, mostly on the cloud
• Only on the cloud

10) We have a clear road map for analytics technologies

11) We have a central source of truth with a clear vision of how KPIs are monitored across the organization

12) We have a long-term strategy including centralized data, self-service analytics and advanced analytics