CONTACT DATA IMPORT REVIEW · Workflow idea

Move a contact list into the right records with fewer surprises.

Prepare a contact file for import by checking its columns, matching them to the organization’s record fields, and organizing rows for review. Keep a preview of proposed additions and updates, flag missing or inconsistent values, and require a data owner to approve the mapping and exact changes before any bulk records are written.

A Roman aqueduct taking shape from architectural sketch to marble.
A little structure. A clearer outcome.
Starts with
A contact file is ready to prepare
Produces
A checked import preview with proposed field matches, records to add or update, and rows needing attention.
Category
Reviews & approvals

01 / The starting point

A clear request.
A useful direction.

A CSV file provided by an authorized data or customer operations teammate

“Validate and map a contact file into existing record fields, requiring approval of the preview before making bulk changes.”
An example request · Make it specific to your team.

02 / The work

5 tasks.
One useful outcome.

Helps customer and data teams move contact information into their records consistently while making mapping and data-quality issues easier to catch.

  1. Select and inspect the contact file

    Confirm the file’s source and purpose, then review its headers, required fields, and row quality.

  2. Match file columns to record fields

    Prepare clear proposed matches and mark any ambiguous, unsupported, or unmapped columns for a person to resolve.

  3. Check for missing values and duplicates

    Identify incomplete rows, likely duplicate contacts, and values that do not fit the intended record field.

  4. Preview additions and updates

    Show the expected record changes and retain a review log so the data owner can understand what the import would affect.

  5. Approve before changing contact records

    Require an authorized person to verify the mapping, sample rows, duplicate handling, and full import preview before any bulk update.

03 / The result

Something useful.
Something to build on.

A checked import preview with proposed field matches, records to add or update, and rows needing attention.

AmbactiWorkflow folio · 5 steps

Review contact imports from a CSV file

Reviews & approvals · Example outcome

The handoff

A checked import preview with proposed field matches, records to add or update, and rows needing attention.

Keep in mind

A mistaken field match or duplicate can overwrite important customer information, and contact files may contain personal data. Limit access to authorized staff, check each proposed mapping and sample records, resolve duplicates and errors, and require a data owner to approve the complete import before records are changed.

04 / Make it yours

Set the brief.
Set the standard.

A few choices shape the work around your team.

Define approved file sources and record types

Specify who may submit files, which kinds of contacts may be imported, and the permitted business purpose.

Document field and duplicate rules

Maintain clear field definitions, required values, matching rules, and handling for existing records.

Protect contact information

Restrict files and import previews to authorized teammates and remove them when they are no longer needed.

Assign import and data-quality approvers

Name who checks the field mapping, sample records, duplicate handling, and final approval before changes are applied.

Put your next idea to work.

Start with your brief. Make the process your own.

Explore more workflows ↗