Faster access to insights
Improved reporting speed and flexibility
Unified data foundation
How a Leading Equipment Dealer Built a Modern Data Platform
A leading equipment dealer set out to modernize their analytics environment as part of a broader enterprise transformation, including preparation for a major ERP rollout. TGS implemented a Microsoft Fabric-based data platform that centralized enterprise data, reduced reporting delays, and established a scalable foundation for advanced analytics and future growth.
Unifying Enterprise Data Across Systems
Turning Opportunity Into Enterprise Visibility
The organization was already in motion, driving a broader transformation across technology and operations. As the business evolved, an opportunity emerged to better connect data across systems and create a more complete, real-time view of performance.
Information existed across multiple platforms, with reporting often managed through spreadsheets and localized tools. Unifying this data into a centralized data platform would streamline access and empower teams with more consistent, trusted insights. This included establishing shared metrics across teams, gaining deeper visibility into customer behavior and operational performance, and enabling more confident decision-making.
At the same time, demand for data was accelerating. More than 300 employees relied on reports, and the business needed faster access to insights, including emerging data sources like IoT and equipment telemetry.
Rather than incremental improvement, the organization defined a bold ambition: Build a scalable, enterprise-grade data platform that could unify data, standardize insights and support continuous innovation across every function.
Building a Modern Data Platform
Designed for Today, Built for What’s Next
TGS partnered closely with stakeholders across the business, comprising executive leadership and technology teams, to assess current-state challenges and define a future-state architecture aligned to business priorities.
The resulting solution centered on Microsoft Fabric and OneLake, bringing together diverse data sources—from ERP and CRM systems to external and IoT data—into a single, governed platform.
Key elements included:
- Centralized data lakehouse and warehouse architecture with medallion layers (raw, standardized, curated) to improve data quality and consistency
- Automated ingestion and transformation pipelines to streamline data movement and reduce manual effort
- Enterprise semantic models to standardize metrics and enable consistent reporting across teams
- Role-based access controls (RBAC) to ensure secure, governed data access
- Power BI dashboards and enterprise reporting for intuitive, real-time insights
Importantly, this wasn’t a traditional implementation. We helped the organization adopt Microsoft Fabric at an early stage, leveraging its unified, SaaS-based capabilities to simplify architecture, reduce overhead and accelerate time to value. By bringing data engineering, data science and analytics into a single platform, the solution eliminated complexity that typically slows modernization efforts.
Our team also implemented a phased, MVP-led approach. This drove delivery value with prioritized data sets (including revenue, customer and operational data) while establishing a scalable foundation for continued expansion.
From Data to Action
Driving Smarter Decisions Across the Business
This engagement stands apart not just for what was delivered but how it was delivered.
By combining deep business alignment with early adoption of emerging technology, TGS helped the organization leapfrog traditional modernization approaches. Instead of stitching together multiple tools, the team implemented a unified platform that simplifies data operations while enabling advanced capabilities from Day 1.
The result is more than a modern data platform; it’s a scalable foundation for continuous transformation, built to evolve alongside the business and unlock new opportunities over time.
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Real-World Results
With a modern data platform in place, our customer transformed how data supports day-to-day operations and long-term strategy.
- Enterprise visibility: A centralized data repository provides a single source of truth across parts, sales, service and power.
- Faster insights: Data that once required manual, monthly reporting is now refreshed and available on a near real-time basis.
- Improved productivity: Automated pipelines reduce manual effort and eliminate duplicate work across teams.
- Stronger customer intelligence: Enhanced data models enable deeper customer segmentation and better understanding of buying behavior.
- Standardized reporting: Reusable models and consistent metrics improve trust in data and alignment across the organization.
The impact extends beyond immediate gains. The organization now has a data foundation that can continuously evolve alongside the business.
