Everyday data practice

Keep the context with the data.

Business analysts and operations teams need a shared understanding before comparing or merging records.

A customer export contains three columns labelled “status”, yet none of them agrees with the label used in the weekly report. The files may be technically readable while their meaning remains uncertain. Data Practice Bulletin examines this everyday side of managing information: definitions, transfers and ownership. Its concern is whether a record can be understood and used correctly by the next person, including someone who did not create the original spreadsheet or configure the application.

Define the record before comparing the numbers

Identify what one row represents and which event creates it. A customer, an account and a service request are different units, even when a report loosely calls them all “records”. Document identifiers, allowed states and the meaning of dates. Note whether an empty field means unknown, not applicable or information that has not yet arrived. These distinctions affect sorting, reporting and later imports. A small data dictionary using actual examples can prevent a team from making confident comparisons between columns that describe different things.

Test an export as a working handover

Open a representative export outside the source application. Check whether identifiers retain leading zeroes, dates are unambiguous and text remains readable. Find out how related records and attachments are connected, and whether a correction made later can be identified. Include enough documentation for a recipient to understand the file without exposing unnecessary personal information. An export button alone does not demonstrate that the exported material can support a migration, reconcile a report or recreate the relationships important to the business.

Give corrections an accountable route

When someone finds an error, they need to know where to report it and which system should be corrected first. Avoid fixing a downstream spreadsheet while leaving the authoritative source unchanged. Record the nature of an important correction and who reviewed it, using access appropriate to the data. This bulletin connects definitions, exports and stewardship through practical cases. Clear ownership makes it easier to resolve disagreements about a value and prevents a useful dataset from becoming a collection of files whose meaning depends on one person’s memory.

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