About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Institutions and Vendors Need to Carefully Agree on Metrics as a Scorecard for Performance

Subscribe to our newsletter

During this afternoon’s vendor/client double act, Tommy Drummond from vendor Informatica and Benjamin Gavin from insurer Norwich Union explained the benefits of a scorecard against which to measure data quality. They demonstrated to FIMA delegates the benefits of clear data quality metrics via a practical case study.

The metrics and targets for projects must be carefully defined via KPIs to allow institutions to judge whether projects have met their goals, they explained to the delegation. Norwich Union has recently completed the four week implementation of a database consolidation project, which Gavin, who is change consultant at Norwich Union, said has resulted in significant savings.

The insurer decided to use Informatica to help it to consolidate two databases containing client information, following its merger with another insurer. “We had anecdotal evidence that there were a lot of duplicate records but this was not easily measurable,” explained Gavin. “We therefore decided to move onto a single platform and consolidate all the data contained within both systems.”

From the proof of concept onwards, Norwich Union focused on identifying what they needed from the vendor, including defining the specific matching rules. The project resulted in a 58% reduction in duplicative records and significant reduction in operational costs, Gavin said. “There is more standardisation going forward and the process is much easier to deal with, including audit better controls due to increased STP,” he claimed.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Hearing from the Experts: AI Governance Best Practices

The rapid spread of artificial intelligence in the financial industry presents data teams with novel challenges. AI’s ability to harvest and utilize vast amounts of data has raised concerns about the privacy and security of sensitive proprietary data and the ethical and legal use of external information. Robust data governance frameworks provide the guardrails needed...

BLOG

Data Automator Xceptor Offers Platform Ready-Made for AI

Dan Reid is not surprised that Xceptor, the data automation giant he formed two decades ago, finds itself at the vanguard of a change in the way financial institutions regard and use documents. The rapid and accurate parsing of information from paper- and PDF-based reports has been made possible thanks to recent developments in artificial intelligence. The volume...

EVENT

RegTech Summit London

Now in its 9th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

Risk & Compliance

The current financial climate has meant that risk management and compliance requirements are never far from the minds of the boards of financial institutions. In order to meet the slew of regulations on the horizon, firms are being compelled to invest in their systems in order to cope with the new requirements. Data management is...