Case Studies

Real results for real organisations

We measure success in business outcomes, not deliverables. Here's what we've achieved for our clients.

+4%
Conversion improvement (Retail)
-12%
Unplanned downtime (Manufacturing)
-40%
Report cycle time (Financial Services)
๐Ÿ›’

Retail & eCommerce

Leading Retailer

Snowflake Customer 360 with Power BI

๐Ÿ† 4% improvement in conversion rate

The Challenge

The retailer had fragmented customer data across eight systems with no single view. Marketing campaigns were poorly targeted and BI reports took days to produce.

Our Solution

We designed and built a Snowflake-based customer 360 platform, ingesting data from eCommerce, POS, CRM, and loyalty systems. Power BI dashboards provided real-time marketing and product analytics.

Outcomes

  • โœ“+4% conversion rate improvement from targeted campaigns
  • โœ“Report production time reduced from days to minutes
  • โœ“Single certified customer view trusted by all teams
  • โœ“GDPR-compliant consent management integrated

Technologies

SnowflakePower BIAzure Data Factorydbt

Delivery: 14 weeks

๐Ÿญ

Manufacturing & Supply Chain

UK Manufacturer

IoT Telemetry Pipeline on Azure

๐Ÿ† 12% reduction in unplanned downtime

The Challenge

Production data was trapped in OT systems with no integration to business analytics. Engineering teams relied on manual checks and lacked predictive insights.

Our Solution

We built an Azure-based IoT telemetry ingestion platform connecting 200+ sensors to a centralised data lake. OEE dashboards and anomaly detection models provided real-time plant visibility.

Outcomes

  • โœ“12% reduction in unplanned downtime
  • โœ“Real-time OEE visibility across all production lines
  • โœ“Automated anomaly alerting for maintenance teams
  • โœ“Supply chain analytics integrated into the same platform

Technologies

Azure IoT HubAzure Data Lake Gen2Azure SynapsePower BI

Delivery: 18 weeks

๐Ÿฆ

Financial Services

Financial Services Firm

Regulatory Reporting Automation on AWS

๐Ÿ† 40% reduction in report cycle time

The Challenge

Monthly regulatory reports required 15+ days of manual effort, with high error risk and poor auditability. Data lineage for regulatory submissions was incomplete.

Our Solution

We implemented an AWS-based regulatory data platform with automated pipelines, data quality gates, and full lineage tracking. Reports were automated with sign-off workflows and audit trails.

Outcomes

  • โœ“40% reduction in report cycle time
  • โœ“Manual effort reduced by 70%
  • โœ“Full data lineage for all regulatory submissions
  • โœ“Zero errors in first six months post-go-live

Technologies

AWS GlueAmazon RedshiftAWS Lake FormationPower BI

Delivery: 22 weeks

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