Case Studies

How we approach real-world engineering challenges.

Illustrative engineering scenarios that show our architecture thinking and approach — anonymized by design, not attributed to named clients.

Insurance

Cutting claims-fraud investigation time by 60%

A mid-market insurer partnered with Karsient to build a real-time fraud-scoring pipeline on top of a modernised claims data platform.

60% faster fraud triage

35% reduction in false positives

Real-time scoring at claim intake

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Retail

Demand forecasting that cut stockouts across 200+ stores

We built a forecasting platform on Databricks that combined POS, weather, and promotional data into a single demand signal.

22% fewer stockouts

Forecast refresh time cut from days to hours

Unified data model across 200+ stores

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Banking & Financial Services

Automating regulatory reporting for a regional bank

A governed data warehouse and lineage framework replaced a spreadsheet-driven reporting process prone to manual error.

Reporting cycle reduced from 5 days to 6 hours

Full lineage for every regulatory figure

Zero manual reconciliation steps

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Manufacturing

One data platform across 10+ global markets for an industrial manufacturer

A global industrial manufacturer needed a single, governed view of performance across markets that had each grown their own reporting, tooling, and definitions.

10+ markets on one platform

300+ users on role-based dashboards

KPI definitions standardised enterprise-wide

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Technology & Cloud Services

Re-engineering legacy SQL Server ETL into a Databricks-native pipeline

A global technology and cloud services company needed to move off an on-prem SQL Server ETL estate that could no longer handle its data volumes or processing SLAs.

~400GB processed daily

Full pipeline run in under 2 hours

Materially higher throughput than the legacy estate

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