Streamline Reconciliation With Automation

Reduce Manual Reconciliation Time With Advanced Matching Strategies

With the Dataiku Solution for Reconciliation, set up your choice of matching strategies, test approaches and automate to reduce the volume of manual reviews.

Once defined, you can automate in a matter of clicks and send regular notifications of new records ready for review or approval via integrated, automated reporters.

Bring Your Process Experts in the Matching Cycle

Your process experts benefit from a dedicated interface to manage all pending matches, add comments and apply sign-off for auditability.

Thanks to the matching strategies implemented, they focus on where their expertise is needed, and new matches can become new running rules in your reconciliation strategies.

Ensure Compliance Through Audit Logs

With an integrated and automatic cell-level audit trail, ensure transparency for every manual adjustment and streamline manual verification.

Every interaction with a manually matched record is written to an audit log separated from the final matched dataset, automatically creating the ideal compliance proofpoint.

Gain Real-Time Insights Into Data Quality

Get all the summary metrics and data quality insights you need to evaluate how many records require manual review and their current status.

Integrated analytics show your current matching logic, allowing for improvements to clear more matches automatically without impacting quality.

Scale Reconciliation Processes Across All Teams

Go the extra mile: Quickly create multiple reconciliation engines tailored to each business process — from trade matching and entity resolution to billing management. Easily enrich upstream strategies through integration of LLMs in data extraction, process mining to uncover systematic bottlenecks, and more.