Asset Management Migration
Hours to onboard
Automated quality
Complex JSON at scale
Overview
From siloed systems to a unified Fabric platform
Asset management data had been scattered across multiple operational systems, tickets, SLA metrics, predictive maintenance signals, and planning data all living in isolation. We consolidated the entire data estate into Fabric, bringing these diverse sources together in a single governed platform. The transformation turned raw operational data into clear, actionable insights and enabled the client's internal data team to own and extend the platform going forward.
Technologies
Challenge
What we faced
- 01Consolidating ticketing and SLA data while ensuring consistency and availability
- 02Integrating predictive maintenance signals with event-driven, time-sensitive patterns
- 03Complex planning context involving assets, locations, schedules, and constraints
- 04Multiple legacy system integrations needed to assemble a complete operational picture
Approach
How we solved it
- 01Fabric as the unified platform for ingestion, transformation, and analytics
- 02Automated, traceable quality checks catching issues before they reach consumers
- 03Azure KeyVault for secure, centralized credential management
- 04DevOps pipelines with Git integration for reliable, version-controlled deployments
Deliverables
What we built
- 01Complete consolidation from siloed systems to a unified Fabric data platform
- 02Unified operational insights spanning assets, work orders, and service performance
- 03Comprehensive data quality framework with checks embedded across ingestion and modeling
- 04Specialized handling for complex, deeply nested, high-volume JSON structures
Results
The impact we delivered
New data sources onboarded in hours, not days or weeks
Data issues caught early through automated, traceable quality monitoring
Complex nested JSON structures consolidated and ingested reliably at scale
Platform delivered collaboratively alongside the client's own data team
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