Illustrative idea · DATA QUALITY
Check incoming records for duplicates
Surface repeated or conflicting records for a person to resolve before an import.
Move file-based data into your analytics warehouse with a clear review.
Illustrative idea, not a published runnable template. Grunt is prelaunch; live service is paused and live provider connections and outcomes remain unverified. The steps, providers, and outcomes below describe a concept.
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.
Actual availability depends on published steps, supported connections, permissions, and provider approval.
Selected data fileA 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.”
Work through the request.
Clear tasks, with review where it matters.
- Select the approved data file
- Check the file’s structure and records
- Match file fields to destination columns
A mapped row preview with the file, destination, and record count identified, held until a data owner approves the exact import.
What this workflow could do
Helps a team prepare data from a file for an analytics warehouse without re-entering each row by hand.
Review points proposed in this idea
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.
How the idea could work
Select an illustrative task to explore its proposed role. No workflow runs here.
-
Confirm the file, its reporting period, and who is responsible for the information it contains.
-
Review column names, required values, row count, and any missing or unusual entries before preparing an import.
-
Show how each selected field will be placed and flag any value whose meaning or unit is unclear.
-
Give a data owner a readable sample and full record count, and check for duplicate or out-of-scope records.
-
Require an authorized person to approve the exact file, destination, and rows before the import takes effect.
-
Confirm the number of added records and keep rejected or uncertain rows visible for a data owner to resolve.
Step 1 of 6
Select the approved data file
Confirm the file, its reporting period, and who is responsible for the information it contains.
Proposed setup considerations
These are planning notes for the concept, not instructions for a currently available template.
- 01
Choose a trusted file source
Identify the approved CSV location, owner, update cadence, and reporting period.
- 02
Document destination fields
Agree on the warehouse table, column meanings, required values, and treatment of blanks or unexpected units.
- 03
Set duplicate checks and import approval
Define how existing records are recognized and name the data owner who approves each proposed load.
- 04
Test with a small representative file
Check field matching, missing values, duplicates, and the final row count before using a full data file.
Read the prelaunch status
Published templates and verified customer availability remain pending.
A little help with the whole task
A little less busywork.
A little less busywork.
A little more room for you.
Explore the sample experience while launch details are being finalized.
View pricing status Explore the simulation