Data checks across sources

HR Data Reconciliation: make differences visible

When the same information lives in several files or systems, manual checks become difficult to trace. A bespoke tool can compare sources using agreed rules and flag differences for review.

Potential scope

Field mapping, format normalisation, missing-value and duplicate checks, matching on agreed identifiers and an exception report.

Inputs

Exports in formats confirmed during discovery, such as CSV or XLSX; comparison rules and an agreed reference source.

Outputs

A reviewable list of differences, exception categories and an export. Changes to source records are outside the default scope.

Example · Illustrative scenario — not a client case study

Two exports use different date formats. Normalisation helps distinguish formatting differences from values requiring investigation.

Boundaries and your team’s role

The tool does not decide which value is correct. Your team defines the reference source and approves corrections.

Discuss your data sources

Bespoke development areas. Features are agreed after discovery.

Other areas

HR Document Engine

Documents from approved templates

Prepare documents from templates and structured data, with human review before use.

Explore document workflows

HR Reporting Studio

Repeatable HR reporting

Define reporting steps and metrics your team can repeat and explain.

Explore HR reporting

Private HR Automation

Rules for recurring work

Connect recurring tasks through clear rules, exception handling and ownership.

Explore workflow automation