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CROSS-SOURCE DATA REVIEW · Workflow idea

Bring separate records together without losing where they came from.

Gather selected information from two databases and prepare a unified view for analysis. Keep each record’s source and matching context visible so a data owner can check mismatches, missing values, and permissions before relying on the result or changing any source data.

Make it yours See how it works ↓
A Roman aqueduct taking shape from architectural sketch to marble.
A little structure. A clearer outcome.
Starts with
Combined data request
Produces
A unified, source-labeled view of the selected records, with uncertain matches and differences called out for a data owner.
Category
Reports & insights

01 / The starting point

A clear request.
A useful direction.

A request to review related records held in two approved data sources

“Gather the selected records, align them using an agreed shared identifier, flag unmatched or conflicting values, and prepare a combined result for human review.”
An example request · Make it specific to your team.

02 / The work

5 tasks.
One useful outcome.

Helps an analyst compare related information maintained in separate databases and review it as one organized result.

  1. Define the question and record scope

    Agree which tables, date range, fields, and business question belong in the combined review.

  2. Gather records from each approved source

    Collect only the necessary information and retain a clear reference to where every value originated.

  3. Align records using a shared identifier

    Join likely matching records on an agreed key and keep unmatched or ambiguous rows separate.

  4. Review missing values and conflicts

    Ask a data owner to check differences, timing, duplicates, and field meanings before treating the combined view as accurate.

  5. Approve downstream use or changes

    Require an authorized person to approve sharing, decisions, or any proposed source-record update based on the result.

03 / The result

Something useful.
Something to build on.

A unified, source-labeled view of the selected records, with uncertain matches and differences called out for a data owner.

AmbactiWorkflow folio · 5 steps

Review a combined report from two databases

Reports & insights · Example outcome

The handoff

A unified, source-labeled view of the selected records, with uncertain matches and differences called out for a data owner.

Keep in mind

Records can be stale, incomplete, or incorrectly matched, and combined information may be sensitive. Use read-only access for review, preserve source lineage, restrict the result to authorized people, and require human approval before any source record is changed or the findings are used for consequential decisions.

04 / Make it yours

Set the brief.
Set the standard.

A few choices shape the work around your team.

Select approved data sources and fields

Choose the two sources and limit the review to fields needed for the agreed question.

Document matching and time rules

Define the shared identifier, date range, treatment of duplicates, and how differently timed records should be compared.

Set access and review ownership

Use the least access needed, restrict the combined result, and name a data owner who can resolve conflicts.

Test matching and exception cases

Compare known matches, missing records, conflicting values, and duplicate identifiers; confirm the review result does not change source data.

Put your next idea to work.

Start with your brief. Make the process your own.

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