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Keeping Data Consistent Print

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The discipline that makes analysis possible.

WHAT INCONSISTENCY LOOKS LIKE

The same customer entered three ways Categories spelled differently Dates in mixed formats Units varying between rows

WHAT IT COSTS

Analysis that is wrong, quietly.

Three spellings of one customer appear as three customers.

WHAT PREVENTS IT

Agreed lists for anything categorised Dropdown selection rather than typing An agreed date format Rules written down

WHAT TO STANDARDISE

Customer and supplier names Product and service names Categories Locations Units

WHAT TO DECIDE ONCE

How each is written, and then never vary it.

WHO NEEDS TO KNOW

Everyone who enters data.

WHAT TO PROVIDE

A short written standard, and lists to select from.

WHAT TO CHECK PERIODICALLY

Unique values in each column.

Variations appear immediately.

WHAT TO DO ABOUT EXISTING INCONSISTENCY

Clean it once, then prevent it.


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