business objective
The client needed to organise financial data from the insurance sector in a way that facilitated comparison and analysis.
This meant preparing for sharply fluctuating data volumes – from large spikes during peak sales periods to smaller volumes during post-holiday lulls – while finding more cost-effective ways to process the data.
Our solution
- Research: conducted comprehensive research to deeply understand Quarterly Reporting Template (QRT) documentation and its specifications.
- Standardisation: developed a simple, standard flat-file form that integrated easily into the client’s schedule.
- Tooling: built a proprietary in-house technology tool that checks for errors and verifies data accuracy, streamlining the transfer of data from PDFs into a custom Excel spreadsheet.
- Flexibility: enabled retrieval of data from any document type, including scanned, messy, or foreign-language documents.
- Team: deployed a specialised, experienced team capable of handling any project quickly and accurately, meeting strict deadlines and quality standards.
Outcome
- Gave the client confidence to handle any document type at scale, regardless of volume, format or language.
- Achieved 99.99% data accuracy, cutting down on manual errors and rework.
- Reduced turnaround time on QRT data extraction and reporting by 55% through a scalable, tech-enabled solution.
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Hi, This is Emma. Let’s get the conversation started!