Academy Getting your data in order
Episode 5 of 10
Checks at the moment of entry
Keeping data clean is the real work.
Check yourself
What prevents duplicate customers most effectively?
Preventing at entry beats cleaning afterwards. The check sits where the duplicate is made.
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04 · Basic
Getting your data in order
From loose exports to one version of the truth: master data, one source per field, pipelines, warehouse and migration, and why this decides whether AI works.
0:38Ep. 1Why your numbers do not match
0:39Ep. 2What master data is
0:38Ep. 3Count before you clean
0:36Ep. 4One source per piece of data
0:37Ep. 5Checks at the moment of entry
0:43Ep. 6Who owns this number?
0:37Ep. 7What a data pipeline is
0:38Ep. 8Why a spreadsheet is not a data warehouse
0:37Ep. 9Migrating data without losing any
0:42Ep. 10Is your data ready for AI?
After this series you can:
- You point out where your data drifts apart and count how big the problem is, before you build.
- You record per piece of data which system is the source, who decides, and what is checked at entry.
- You pick what your data question needs: a pipeline, a warehouse or a migration, and require every step checked.