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DATA IMPORT REVIEW · Workflow idea

Move file-based data into your analytics warehouse with a clear review.

Take a selected CSV, line up its fields with the intended warehouse columns, and prepare new rows for loading. Make the source, record count, and field mapping visible so a data owner can check the import before it changes the warehouse.

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
Selected data file
Produces
A mapped row preview with the file, destination, and record count identified, held until a data owner approves the exact import.
Category
Reviews & approvals

01 / The starting point

A clear request.
A useful direction.

A CSV containing records approved for a particular analytics destination

“Read the selected file, match its fields to the agreed destination columns, preview the proposed rows, and wait for an authorized owner to approve the load.”
An example request · Make it specific to your team.

02 / The work

6 tasks.
One useful outcome.

Helps a team prepare data from a file for an analytics warehouse without re-entering each row by hand.

  1. Select the approved data file

    Confirm the file, its reporting period, and who is responsible for the information it contains.

  2. Check the file’s structure and records

    Review column names, required values, row count, and any missing or unusual entries before preparing an import.

  3. Match file fields to destination columns

    Show how each selected field will be placed and flag any value whose meaning or unit is unclear.

  4. Preview the proposed warehouse rows

    Give a data owner a readable sample and full record count, and check for duplicate or out-of-scope records.

  5. Approve before adding records

    Require an authorized person to approve the exact file, destination, and rows before the import takes effect.

  6. Check the import outcome

    Confirm the number of added records and keep rejected or uncertain rows visible for a data owner to resolve.

03 / The result

Something useful.
Something to build on.

A mapped row preview with the file, destination, and record count identified, held until a data owner approves the exact import.

AmbactiWorkflow folio · 6 steps

Approve data warehouse imports

Reviews & approvals · Example outcome

The handoff

A mapped row preview with the file, destination, and record count identified, held until a data owner approves the exact import.

Keep in mind

A wrong field match, duplicate, or stale file can affect downstream reporting. Verify the source, destination, units, and row count; require an authorized data owner to approve the import before new records are added.

04 / Make it yours

Set the brief.
Set the standard.

A few choices shape the work around your team.

Choose a trusted file source

Identify the approved CSV location, owner, update cadence, and reporting period.

Document destination fields

Agree on the warehouse table, column meanings, required values, and treatment of blanks or unexpected units.

Set duplicate checks and import approval

Define how existing records are recognized and name the data owner who approves each proposed load.

Test with a small representative file

Check field matching, missing values, duplicates, and the final row count before using a full data file.

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