Datalign
Datalign is a powerful data quality and benchmarking reconciliation engine. Without compromising data privacy, financial institutions can garner insights around ultra-sensitive data amongst peer organisations.
Winning tech
Part of DANIE
A community of financial institutions harnessing the latest Privacy-Enhancing Technology (PET) to collaborate and share insights securely, without having to rely on a trusted third party.
Each party keeps control of their own data
No ties to other participants
Easy to use, no IT skills required
Scales to support billions of transactions
Securely and collaboratively reconciling client reference data since 2018
In use by leading international banking organisations, with over five million records benchmarked, Datalign empowers financial institutions to efficiently improve peer-to-peer collaboration through confidential computing.
Benefits of Datalign
Using Secretarium's next-generation privacy-preserving technology, Datalign reconciles ultra-sensitive data without having to rely on a trusted third party. Financial institutions within the consortium can collaborate in a fully secure and automated way, so all parties get insights without disclosing any data.
Capable of comparing any type of data field of all granularities including client reference data, commercial margins and asset prices, while preserving total anonymity.
Data anomalies are revealed, helping DANIE consortium members solve complex issues and greatly improve overall efficiency.
How it works
Datalign significantly improves your data quality by targeting errors in your master and source certified data sets, allowing operational data teams to focus on specific data points that do not match the wider financial institution community's records.
Secure client reference data collaboration
Tested by banks
More than 5 million records benchmarked
Original data is encrypted on premise and pooled into the Datalign secure reconciliation engine. Consensus benchmarks are then shared to detect any anomalies, which allows for any corrective action to be issued when discrepancies are found.
Compares any type of data field of all granularities
Over 5 million records benchmarked
