Case studies

Data platforms delivered across industries

From gross-to-net revenue analytics for food brands to real-time IoT ingestion, these are programmes where we rebuilt the pipeline, the model and the trust.

Packaged snacks · LATAM and Middle East & South Africa retail

Revenue analytics across 12 retail chains, refreshed hourly

global snack food company

Replaced a nightly Excel-and-SSIS revenue pack with a Databricks lakehouse serving trade-spend-adjusted net revenue to 400+ commercial users across LATAM and Middle East & South Africa.

Challenge

Sell-out data arrived from twelve retailers in twelve formats across LATAM and Middle East & South Africa. Finance and sales argued over net revenue every month, and the close took nine days.

What we built

  • Landed retailer EPOS, distributor and SAP order feeds into ADLS Gen2 with Auto Loader and schema evolution.
  • Built a medallion model in Delta Lake with a conformed product-and-customer hierarchy and Unity Catalog governance.
  • Modelled gross-to-net: list price, trade promotions, rebates, returns and logistics deductions as auditable fact tables.
  • Shipped a Power BI revenue cockpit with lineage back to source rows for finance sign-off.
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AzureDatabricksDelta LakeUnity CatalogdbtPower BI
Gross-to-net pipeline
  1. 1

    Retailer EPOS & SAP orders

    12 formats, daily

  2. 2

    Delta bronze ingest

    Auto Loader + schema evolution

  3. 3

    Conformed product & customer

    silver, governed

  4. 4

    Gross-to-net facts

    promo · rebate · returns

  5. 5

    Revenue cockpit

    finance-signed, row-level lineage

Outcomes

9 → 2 days
Commercial close cycle
98.6%
Gross-to-net reconciliation accuracy
$4.1M
Recovered promo leakage in year one

More engagements

Selected platform builds across sectors

Consumer app · San Francisco

Audience business review analytics

Challenge. Legacy BI could not deliver near real-time app usage insight; every analysis was a manual data pull.

What we built. Data lake on S3 exposed to Athena via Glue Catalog, a single-source-of-truth table refreshed by Step Functions and Lambda, and a QuickSight CXO dashboard for MAU, DAU, trial-to-subscription and revenue trends.

Fully automated daily audience and revenue review

AWSS3AthenaGlueStep FunctionsRedshift SpectrumQuickSight
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Global BPO / ITeS · France

Operational insights for 400 contact centres

Challenge. No unified view of agent and process performance across two South Asian contact centres.

What we built. Performance tool exports auto-synced to Azure file storage, staged and loaded by Azure Data Factory into a Synapse warehouse, with Power BI dashboards for occupancy, AUX, handled volumes and shrinkage.

2% CSAT improvement and 5% reduction in shrinkage

Azure Blob StorageAzure Data FactoryAzure SynapsePower BI
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Healthcare ISV

Integrated healthcare and telemedicine platform

Challenge. Practitioners could not extract insight from telemedicine conversations or unify patient health data.

What we built. HIPAA-compliant AWS platform with IoT device integration, nutrition tracking and a conversational intelligence pipeline using Transcribe Medical and Comprehend Medical over Chime call recordings.

Conversations auto-segmented into symptoms, lab tests, diagnosis, medication and PHI

AWSChimeTranscribe MedicalComprehend MedicalLambdaRDSEC2
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Fintech unicorn · Payments

Transaction reconciliation platform

Challenge. Multi-gateway payment flows needed a reliable final gatekeeper for every transaction.

What we built. Gateway MIS files ingested via direct upload or SFTP pickup into S3, reconciled row by row by Lambda-driven jobs, producing scheduled exception and full transaction reports.

Accurate, complete and continuously reconciled general ledger

AWSS3LambdaEC2CloudWatch
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Fleet management · Logistics

Real-time ingestion and route deviation platform

Challenge. Vehicle sensor and dispatch data from millions of edge devices had no scalable path to ML use cases.

What we built. TCP gateway authentication feeding Azure Event Hubs and Stream Analytics, correlated output in Cosmos DB, and an ML model computing net path deviation with alerts via Notification Hub.

Accurate deviation alerts on a framework reusable across AI use cases

Azure Event HubsStream AnalyticsCosmos DBNotification Hub
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Industrial equipment manufacturer

Product Studio for industrial product data

Challenge. Business units edited product data in disconnected files with no validation or single entry point.

What we built. A plugin-based WPF/MVVM application with a product data editor, wizards, validation, fan selector tester and template converters, backed by Azure and covered by NUnit tests.

Unified, validated product data management across business units

WPF.NET 4.5MVVMNUnitAzure
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