Social Networks

We use cookies to enhance your experience. By continuing to visit this site you agree to our use of cookies. Learn More

Got it!
Client Entity & Account Certification



of Truth

Using enhanced data analytics to deliver
data that can be trusted

The global markets division of a major European investment bank engaged us to deliver a comprehensive account certification system. They faced increased regulatory scrutiny, a tight deadline and multiple, inconsistent data sources.

Industry: Investment Banking


Increased Regulatory Scrutiny

Our client needed to meet an extremely tight deadline, imposed by regulators, to develop and validate a robust account certification system.

Failed Internal Processes

Many internal attempts to deliver a solution had been unsuccessful.

Poor Data Quality

Poor quality data across all sources with missing and inconsistent data element.

No 'Single Source of Truth'

Multiple, contradictory sources of account/entity information.

A fragmented technology landscape

Disparate data sources that were difficult to combine coherently.

Data Solution

Designing a set of tests

To mitigate the risks brought on by multiple data sources and to compensate for missing or inconsistent data, we devised a comprehensive set of repeatable tests to validate data sources.

We began by identifying and sourcing all relevant data to support the account certification tests, and then used an analytics engine to load and normalise the data.

The tests consisted of primary and secondary categories of checks.

  • Primary checks were conducted on client account and entity records.
  • Secondary checks leveraged additional internal sources of data, such as credit and traded risk hierarchies to re-validate the primary checks.

Exact & partial matching

  • Exact name matches were awarded maximum scores.
  • Partial matches scoring 70% and above were awarded a higher score than those with 50% and above.
  • Anything below 50% were awarded zero or negative scores.

Hierarchy checks

  • The credit and risk checks determined the legitimacy of the entity and client account relationship.
  • These internal checks matched entity and account information to the credit and risk hierarchy – if the match was valid then scores were awarded as normal.
  • If the internal checks revealed inconsistencies, all other tests would be invalidated and the entity would not be account certified.

Confidence in the scores

  • Scores from all tests were totalled and graded to ensure the required level of confidence in a match.
  • Anything below the required value would be sent to the review team for investigation, and a request for additional data from clients to allow certification.

A robust and repeatable framework delivered fast

Fast Deployment

We scoped, built and delivered the system to our client within 8 weeks which allowed them to successfully meet the deadline imposed by their regulators.

Robust Control & Monitoring

The solution we constructed, enabled the solution to run on a repeatable basis, allowing for a robust control and monitoring framework to be established.

1.5m accounts certified relating to 250k entities.
Total certification rate of 91.5% across Corporate and Bank/FIs.

Related Data Solutions

Calimere Point have helped our clients gain value from the data revolution.