Data qualityis everyone’sproblem, notjust the datateamData literacyshould betaught inschoolsYou can tell acompany’sculture byhow they treattheir dataA gooddashboard isworth morethan a 50-page reportA bad datamodelcauses moredamage thanbad codeDatamesh isjust hypeAI willreplace dataanalystswithin 10yearsOnboardingis alwaystough, nomatter thecompanyEvery datatool promisesto be the lastone you'llever needThe bestinsightscome fromthe simplestqueriesMeetingsabout dataare worsethan baddataNo one readsthedocumentationMostcompaniesdon’t needa data lakeStakeholdersalways askfor the wrongmetricsMost datagovernanceframeworksare justbureaucracyExcel willnever dieReal-timedata is anice-to-have,not a must-haveMaster datamanagementprojectsalways failDataGovernanceonly getsattention aftersomething goeswrongDark data isa bigger riskthan cyberattacksHybridworking hasmadecollaborationworseThe loudestperson in themeeting getsthe creditWorking fromhome makesyou moreproductivethan the officewe spend moretime talkingabout data thanactually using itData qualityis everyone’sproblem, notjust the datateamData literacyshould betaught inschoolsYou can tell acompany’sculture byhow they treattheir dataA gooddashboard isworth morethan a 50-page reportA bad datamodelcauses moredamage thanbad codeDatamesh isjust hypeAI willreplace dataanalystswithin 10yearsOnboardingis alwaystough, nomatter thecompanyEvery datatool promisesto be the lastone you'llever needThe bestinsightscome fromthe simplestqueriesMeetingsabout dataare worsethan baddataNo one readsthedocumentationMostcompaniesdon’t needa data lakeStakeholdersalways askfor the wrongmetricsMost datagovernanceframeworksare justbureaucracyExcel willnever dieReal-timedata is anice-to-have,not a must-haveMaster datamanagementprojectsalways failDataGovernanceonly getsattention aftersomething goeswrongDark data isa bigger riskthan cyberattacksHybridworking hasmadecollaborationworseThe loudestperson in themeeting getsthe creditWorking fromhome makesyou moreproductivethan the officewe spend moretime talkingabout data thanactually using it

Data Mgmt - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Data quality is everyone’s problem, not just the data team
  2. Data literacy should be taught in schools
  3. You can tell a company’s culture by how they treat their data
  4. A good dashboard is worth more than a 50-page report
  5. A bad data model causes more damage than bad code
  6. Data mesh is just hype
  7. AI will replace data analysts within 10 years
  8. Onboarding is always tough, no matter the company
  9. Every data tool promises to be the last one you'll ever need
  10. The best insights come from the simplest queries
  11. Meetings about data are worse than bad data
  12. No one reads the documentation
  13. Most companies don’t need a data lake
  14. Stakeholders always ask for the wrong metrics
  15. Most data governance frameworks are just bureaucracy
  16. Excel will never die
  17. Real-time data is a nice-to-have, not a must-have
  18. Master data management projects always fail
  19. Data Governance only gets attention after something goes wrong
  20. Dark data is a bigger risk than cyber attacks
  21. Hybrid working has made collaboration worse
  22. The loudest person in the meeting gets the credit
  23. Working from home makes you more productive than the office
  24. we spend more time talking about data than actually using it