Getting your data in order

Self-check

Your score stays on your own device.

1. A colleague says: 'Our numbers do not match, so we need a new reporting tool.' What is true?

   • True, and add AI to fix the differences
   • True: the right tool makes the numbers match by itself
   • Not true: you need a new ERP first
   • Not necessarily. Combining the data is the issue

2. The CRM says 'Janssen BV', accounting says 'Jansen B.V.'. What is the result?

   • Your reports count two customers and no longer add up
   • The software merges them; the names are close enough
   • Nothing: everyone knows it is the same customer
   • Only the address label looks slightly off

3. You are moving to a new software package soon. When do you clean?

   • Not at all: the migration cleans it by itself
   • After the move: the new package has better tools
   • Before the move, so the mess stays behind
   • In go-live week, when everyone is looking anyway

4. A manager says: 'We cleaned the customer file last year, so it is fine now.' What is true?

   • Not true: data ages by itself and needs a yearly clean
   • True, as long as the cleaned file was backed up
   • True: one good clean-up lasts for years
   • Unlikely. New duplicates come back without a fixed source

5. Two records both look half right. Who decides which one stays?

   • The software, by keeping the most complete of the two
   • A person who knows the customers, both side by side
   • Nobody: keep both, just to be safe
   • The software, by keeping the newest record

6. A supplier offers data governance for your 40-person company. What do you ask first?

   • Which governance framework do large banks use?
   • How thick is the policy document we will get?
   • Which rules will the systems enforce?
   • How many data officers do we need to hire?

7. Every Monday a colleague runs a script that pulls sales data into the report. What does a pipeline add?

   • Nothing, as long as the colleague does not forget
   • Fixed steps, a check for completeness, and full logging
   • Mainly speed: the same script, only faster
   • AI that fills in missing days with an estimate

8. A wholesaler with orders, invoices and hours wants reports across years. What usually fits?

   • A classic warehouse, with tables designed up front
   • Keeping a longer history inside the ERP itself
   • A lakehouse, because that is the modern choice
   • A big shared spreadsheet, updated every month