Case Studies

Real-world examples of how we help organizations modernize data platforms, enable self-service analytics, and build IoT-driven insights.

Banking & Financial Services

Enterprise Data Warehouse Modernization

Migrated a legacy on-premise data warehouse to a cloud-native Snowflake platform, enabling faster reporting, improved data quality, and reduced infrastructure costs.

Challenge

A regional financial institution relied on a legacy on-premise warehouse that could not scale with growing reporting demands. Batch jobs ran overnight, data quality issues eroded trust, and infrastructure costs were rising year over year.

Solution

Analytics Enablers designed a phased migration to Snowflake with automated data quality checks, rebuilt ETL pipelines using modern orchestration, and established a governed semantic layer for enterprise reporting.

Data EngineeringData AnalyticsCloud Enablement

60%

Faster report delivery

40%

Infrastructure cost reduction

Insurance

Self-Service Analytics Rollout

Designed and implemented a governed self-service BI program on Microsoft Fabric and Power BI, empowering business teams while maintaining enterprise data standards.

Challenge

Business teams at a mid-size insurer depended on IT for every report request, creating bottlenecks. Leadership wanted self-service analytics without sacrificing governance or data consistency.

Solution

We implemented Microsoft Fabric with certified datasets, row-level security, and a tiered self-service model, enabling analysts and business users to build their own reports within guardrails.

Data AnalyticsData GovernanceBusiness Intelligence

Increase in active BI users

50%

Reduction in ad-hoc requests

Energy & Utilities

IoT Predictive Maintenance Platform

Built a secure IoT data platform on AWS to ingest sensor data from field assets, enabling predictive maintenance and real-time operational monitoring.

Challenge

Field assets across multiple sites generated sensor data in siloed systems. Operations lacked real-time visibility and experienced costly unplanned downtime due to reactive maintenance.

Solution

We built an AWS-based IoT platform with secure device connectivity, a scalable data lake for historical analysis, and real-time dashboards for operations teams, plus ML-ready datasets for predictive models.

Internet of Things (IoT)Data EngineeringCloud Enablement

35%

Reduction in unplanned downtime

Real-time

Asset monitoring

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