Overview
Delta Mechanical operates one of the country’s largest plumbing-service organizations, serving Home Depot customers across multiple states. But their operational ecosystem - ServiceTitan, Home Depot systems, Paylocity, Sage, and internal tools - generated fragmented data that couldn’t easily be combined. Delta partnered with i-ology to build a modern Data Hub that unifies every critical data stream into a single, actionable system.
The Challenge
Data was fragmented across third-party systems, resulting in slow, manual, error-prone reporting cycles.
Leadership lacked real-time visibility into revenue, job profitability, and technician performance.
Duplicate data entry and inconsistent data models made cross-system reporting unreliable.
Manual Excel-based reporting consumed significant analyst time.
Delta needed a scalable, automated, and future-ready analytics architecture.
The Approach
i-ology partnered with Delta Mechanical to build a unified, automated Data Hub that becomes the single source of truth for operational, financial, and workforce analytics.
Discovery and Strategy
Engaged executive, finance, and operations teams to define KPIs for revenue, labor efficiency, profitability, and job duration.
Conducted a full data-system audit to identify integration points, schema conflicts, and quality gaps.
Mapped all data flows across ServiceTitan, Home Depot, and Sage.
Data Integration and Standardization
Built secure Azure Data Factory pipelines to automatically ingest data from each upstream system.
Applied business-rule logic to resolve inconsistencies and unify identifiers.
Automated quality checks to improve accuracy and reduce manual cleanup.
Data Hub Architecture and Modeling
Designed a star-schema Azure SQL warehouse optimized for analytics, self-service, and future scalability.
Ensured all fact and dimension tables aligned with business KPIs and operational reporting needs.
Implemented data lineage tracking to improve transparency and auditability.
Enterprise Reporting and Decision Support
Delivered Power BI dashboards that surface actionable insights across operations, finance, labor, and service metrics.
Implemented role-based access controls to govern data visibility by department.
Enabled leadership to transition from reactive reporting to real-time, insight-driven decision-making.
The Outcome
Transformed siloed data into a unified, automated analytics environment.
Reduced reporting time from days to minutes.
Improved revenue forecasting, job profitability analysis, and technician performance insights.
Created a scalable data foundation supporting predictive analytics and automation.
Technologies Used
Azure Data Factory • Azure SQL (Star Schema) • Power BI • REST APIs • ServiceTitan API • Sage Integrations