Case study • Manufacturing • Enterprise Analytics Modernization
80% Reduction in Reporting Effort Through Unified Manufacturing Analytics
We partnered with client, a leading national manufacturer operating nearly 90 production facilities, to modernize its analytics ecosystem during a large-scale ERP transformation. By unifying data across legacy and modern ERP systems, automating reporting workflows, and implementing a scalable Microsoft Fabric architecture, we delivered executive-ready visibility into profitability, inventory health, and operational performance.
Success Highlights
Key Details
Industry: Manufacturing Geography: United States
Platform: Microsoft Fabric, Oracle NetSuite, Microsoft Navision, Power BI
Business Challenge
As the client transitioned from Navision to Oracle NetSuite, reporting became fragmented across legacy systems, modern ERP environments, and manually maintained Excel reports.
Our Solution Approach
We implemented a data integration and visualization strategy to unify data sources, improve data quality, and enable real-time insights.
1 · Assess
Evaluate Reporting Fragmentation & Data Complexity
Evaluated ERP migration impacts, reporting dependencies, profitability calculations, and existing ETL bottlenecks across manufacturing and finance functions.
2 · Unify
Build Enterprise Lakehouse Architecture
Designed a Medallion (Bronze-Silver-Gold) architecture within Microsoft Fabric to centralize data from Navision, NetSuite, and plant-level reporting systems.
3 · Modernize
Standardize Data Pipelines & Processing
Implemented full and incremental ingestion pipelines, automated data quality controls, and standardized business logic to eliminate manual reporting dependencies.
4 · Enable
Deliver Executive Analytics & Governance
Built centralized semantic models, Power BI dashboards, and governance controls to support profitability analysis, operational visibility, and future analytics expansion.
Technical Highlights
Microsoft Fabric Lakehouse architecture using Bronze-Silver-Gold data layers Hybrid ERP integration across Microsoft Navision and Oracle NetSuite environments
PySpark-based transformation framework for cleansing, deduplication, and business-rule processing Incremental and full-load ingestion pipelines aligned to operational reporting cadences Power BI semantic models with centralized KPI definitions and DAX calculations Git-integrated version control for pipelines, notebooks, and reporting assets Azure Data Lake Storage Gen2 supporting scalable enterprise data storage
// ERP Data Consolidation Pipeline
sources = [navision_data, netsuite_data, plant_reports]
raw_data = ingest_sources(sources)
clean_data = deduplicate_and_validate(raw_data)
profitability_model = calculate_margin_metrics(clean_data)
publish_to_powerbi(profitability_model)
Business Outcomes
Established a unified analytics foundation that improved reporting efficiency, profitability visibility, and enterprise-wide decision-making.
80%
Reduction in Reporting Effort:
Automated reporting workflows significantly reduced manual data consolidation performed by finance and plant operations teams.
200+
Hours Automated Monthly:
Eliminated repetitive Excel-based reporting activities through centralized dashboards and automated data pipelines.
40%
Faster Data Processing:
Modernized cloud-native analytics pipelines delivered significantly faster processing than legacy ETL tooling.
Complete auditability through Bronze-layer data preservation AI/ML-ready analytics foundation for future forecasting initiatives
Modernizing Analytics During an ERP Transformation?
Let’s help you unify fragmented systems, automate reporting, and build a scalable analytics platform that supports operational and financial decision-making.