How mature is your company with data?

1. 1. Data infrastructure

   Where is your data kept?

   AMostly in Excel or on paperBIn several disconnected systems (ERP, CRM…)CSystems partly integrated, some data centralDIn a central database, fed automatically

   How is data from different systems combined?

   ABy hand, every timeBBy hand, with templatesCSome flows are automatedDFully automated

   How accessible is historical data?

   AHard to get or lostBAvailable but scatteredCMostly accessibleDAll organized and queryable

2. 2. Quality and governance

   Do core metrics like revenue, customers and stock have a shared definition?

   ANo, each department calculates differentlyBVerballyCWritten down, but not everyone follows itDWritten down and calculated from one source

   When do you notice data errors?

   AOften never, or very lateBWhile presenting a reportCThrough routine checksDThrough automated checks, at the source

   Who owns the data?

   ANobodyBIT, but not responsible for the contentCSpecific people in some areasDEvery core data area has a defined owner

3. 3. Reporting

   How are management reports prepared?

   ABy hand, every timeBWith Excel templates, updated by handCPartly automatedDWith automatically updated dashboards

   How long does a manager wait for an answer to a question?

   ADays or weeksBA few daysCSame dayDInstantly, from a dashboard

   How much are reports used in decisions?

   ARarelyBSometimesCIn most decisionsDDecisions regularly rest on data

4. 4. Advanced analytics and AI

   How is demand or sales forecast?

   AIt isn'tBBy experienceCWith simple methods in ExcelDWith statistical models, with accuracy measured

   How do you use customer data?

   AWe don'tBIn basic reportsCWith customer segmentsDWith segments, churn prediction and customer value

   What level is your use of AI?

   ANoneBIndividual experiments (chat tools etc.)CA pilot in one processDIn production, with measured results

5. 5. People and culture

   Who in the company can work with data?

   ANobodyBOne or two people, on the sideCA small teamDAn experienced data/analytics team

   What is employees' data literacy?

   ALowBExcel levelCMany can use reports and dashboardsDWidespread; teams do their own analysis

   Is there management support for data and AI?

   ANoneBInterest, but no budgetCSpecific projects are supportedDPart of the strategy, with an owner and budget

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