AI Usage

AI Spreadsheet and Data Entry Automation Terms

Learn table structure, form intake, mapping, extraction, validation, deduplication, lookups, formula generation, row workflows, reconciliation, and audit terms.

12 matching terms

Table structure

Structured table

Meaning

A tabular range with stable headers, consistent row meaning, and predictable data types.

When to use it

Use it as the input contract for spreadsheet automation.

Practical example

Columns: request_id, owner, status, due_date, amount.

Data intake

Form intake

Meaning

Collecting standardized responses through fields that feed a table or workflow.

When to use it

Use required fields, allowed values, and validation at collection time.

Practical example

New form response -> append one validated row.

Data intake

Data mapping

Meaning

Defining how source fields correspond to destination columns or objects.

When to use it

Document transformations, defaults, and incompatible types.

Practical example

Form 'Company' -> CRM account_name.

Data intake

Field extraction

Meaning

Identifying named values in text, images, or documents for insertion into cells.

When to use it

Validate formats and keep the source reference for review.

Practical example

Extract receipt_date, merchant, category, and total.

Data quality

Validation rule

Meaning

A constraint that determines whether a cell or row contains acceptable data.

When to use it

Use it before calculations, imports, and downstream actions.

Practical example

status must be Draft, Approved, or Rejected.

Data quality

Deduplication

Meaning

Detecting and resolving rows that represent the same underlying record.

When to use it

Choose exact or fuzzy matching rules and define which record wins.

Practical example

Match on normalized email and keep the newest updated_at.

Transformation

Lookup

Meaning

Retrieving a value from another table by matching a key or condition.

When to use it

Use stable unique keys rather than names when possible.

Practical example

Look up department_name by employee_id.

Transformation

Formula generation

Meaning

Creating a spreadsheet formula from a described calculation or pattern.

When to use it

Check cell ranges, absolute references, errors, and locale-specific separators.

Practical example

=IFERROR(XLOOKUP(A2,Customers!A:A,Customers!D:D),"Unknown")

Automation

Row-level automation

Meaning

Running a workflow when a row is added, changed, or reaches a specific state.

When to use it

Use a processed status or unique event key to avoid duplicate runs.

Practical example

When status becomes Approved, create the invoice once.

Automation

Batch update

Meaning

Changing many rows in one controlled operation.

When to use it

Preview affected rows, limit scope, and preserve a rollback file.

Practical example

Update category for 1,240 reviewed rows after approval.

Data quality

Reconciliation

Meaning

Comparing two data sources to identify missing, duplicated, or mismatched records.

When to use it

Use totals and record-level keys to confirm transfers and financial data.

Practical example

Compare payment gateway totals with the finance sheet by transaction_id.

Audit

Audit trail

Meaning

A chronological record of who changed data, what changed, and when.

When to use it

Keep it for approvals, bulk edits, imported data, and automated corrections.

Practical example

Log workflow_run_id, actor, old_value, new_value, and timestamp.