Power BI Manufacturing Dashboard Cuts Reporting Time by 80% for a 480-Employee Food Manufacturer

A case study on replacing outdated spreadsheet-built reporting with a Power BI manufacturing dashboard across finance, supply chain, operations, and food safety compliance, built through a full Power BI data integration across an ERP, WMS, TMS, MRP, and Business Central environment that had never been unified. 

Executive Summary 

A gourmet food manufacturer and distributor with 480 employees was running finance, supply chain, production, and quality assurance reporting across five disconnected systems: an ERP, a Warehouse Management System (WMS), a Transportation Management System (TMS), a Manufacturing Resource Planning (MRP) system, and Business Central, with no unified view across any of them. Code Creators ran a full solution discovery phase, completed a Power BI data integration across all five systems including a native Business Central Power BI connection, and delivered a Power BI manufacturing dashboard suite comprised of total 16-dashboards across four business areas including Executive, Supply Chain, Operations, and Quality Assurance. Manual reporting work that consumed roughly 30 staff hours a week dropped to about 6 hours a week, an 80% reduction, and reports that previously lagged several days behind now reflect current data. The project ran 14 weeks and included a full month of structured training and post-launch support, matching the client’s requirement for ongoing support after go-live.

About the Client

The client is a gourmet food manufacturer and distributor with 480 employees, operating two production facilities and a regional distribution network that supplies grocery and specialty retail chains across the United States. Finance, supply chain, manufacturing, and quality assurance each run on a different operational system, which is common at this size of food manufacturer but creates real reporting complexity once those functions need to work from the same numbers, the exact gap a Power BI manufacturing dashboard is built to close. 

Because the company operates in a heavily regulated segment of food production, quality assurance and compliance reporting, tracking adherence to FDA, USDA, and FSMA requirements, carries real regulatory weight alongside the usual pressure to run an efficient supply chain. With production, warehousing, transportation, and financial systems each holding a different piece of the picture, and no shared reporting layer across them, the environment had accumulated real operational complexity by the time this project began. 

The Problem 

The client’s reporting environment was fragmented across five separate systems: an ERP for financial and transactional data, a WMS for warehouse and inventory operations, a TMS for freight and distribution, an MRP system for production planning, and Business Central for core financial management. None of these systems talked to each other for reporting purposes, which meant every cross functional report, a weekly executive summary, a supply chain performance review, a quality compliance snapshot, had to be manually assembled from exports out of each system. 

That manual process had a measurable cost. Staff across finance, operations, and quality assurance were spending an estimated 30 hours a week combined pulling exports, reconciling formats, and rebuilding the same spreadsheets from scratch, and by the time a report reached leadership, the underlying numbers were often 3 to 5 business days old. For a food manufacturer operating under FDA, USDA, and FSMA oversight, that lag mattered most in quality assurance: a compliance issue or a customer complaint trend could sit undetected in raw data for the better part of a week before anyone had a consolidated view of it. 

Leadership also lacked a single place to see financial health, sales performance, inventory turnover, and supply chain logistics together. Decisions about production scheduling, procurement, and freight costs were being made on system specific views that never quite lined up with each other, and nobody had real confidence that two reports pulled the same week would show consistent numbers. 

What We Discovered 

Solution discovery was treated as the foundation of this project, essential groundwork before the “real work” started. Before building a single dashboard, Code Creators worked with stakeholders across finance, supply chain, operations, and quality teams, representing all four of the client’s core business functions, to understand what each function actually needed to see and how their source systems represented that data. 

1. Data Source and Structure Review: We inventoried the data available in each of the five systems, ERP, WMS, TMS, MRP, and Business Central, and mapped how records in one system related to records in another as part of the broader Power BI data integration effort. This surfaced the core technical challenge: the same business entities (a purchase order, a production batch, a shipment) were represented differently across systems, with no existing key structure to join them cleanly for reporting. 
2. Stakeholder Requirements and KPI Definition: Through structured discussions with department leads, we identified the specific KPIs each function needed: financial health and sales trends for executives, supplier performance and freight cost trends for supply chain, overall equipment effectiveness (OEE) and downtime for operations, and FDA/USDA/FSMA compliance metrics for quality assurance. This is what shaped the eventual 16 dashboard structure, built around real department needs identified during discovery. 
3. Data Model and Blueprint: We assessed relationships between data entities across all five systems and mapped the full data flow from source system to Power BI. The output was a documented blueprint covering dashboard structures, required filters, data hierarchies, and interactivity: the reference point the whole build phase worked from, so dashboard development didn’t start until the underlying model was sound. 

The Solution 

The objective was a Power BI environment that gave every function, executive, supply chain, operations, and quality, a dashboard built around the KPIs they actually track, all pulling from a single, automatically refreshed data model that replaced five disconnected exports. 

We connected Power BI directly to all five source systems through a structured Power BI data integration process, with each source type connected the way its data was actually stored: the ERP and Business Central connected through their native Power BI connectors pulling financial and transactional tables directly, the WMS and TMS connected through scheduled exports landing in a staging database that Power BI queried on a fixed schedule, and the MRP system connected through its published API for production planning data. An on-premises data gateway, owned and monitored by the client’s IT team, handled the connections to systems that weren’t cloud-hosted, with gateway health and connector failures monitored through Power BI’s built-in refresh history and email alerts so a failed refresh triggered a same-day fix well before stale numbers could reach anyone downstream.  

The full data model was hosted in a Power BI workspace backed by the client’s Premium capacity, with datasets scheduled to refresh automatically every 4 hours during business hours, six refreshes a day, well within Power BI Pro’s refresh limits.  

We developed 16 purpose-built dashboards across four categories, each designed from the ground up around its own department’s KPIs:  

6 Executive Dashboards, anchored by a Power BI finance dashboard covering Financial Overview alongside Sales Trends & Market Performance, Inventory Valuation & Turnover, Operational Efficiency & Production Performance, Supply Chain & Logistics Overview, and Quality & Compliance Monitoring. 

3 Power BI Supply Chain Dashboards suite covering Procurement Performance, Logistics & Distribution, and Demand Planning & Forecasting. 

4 Operations Dashboards (Production Efficiency & Output, Labor Productivity & Cost Control, Downtime & Waste Reduction, and Production Scheduling & Order Fulfillment). 

3 Quality Assurance Dashboards (Regulatory & Compliance Monitoring, Product Quality & Customer Complaints, and QA Inspections & Food Safety Metrics).  

That is 6 plus 3 plus 4 plus 3, 16 dashboards in total, each tied to KPIs a specific department had defined during discovery. 

The project ran across five phases over 14 weeks:  

1. A 2-week solution discovery,  
2. 4-week data source integration phase,  
3. 5-week dashboard development phase, 
4. 2-week user acceptance testing phase,  
5. Final week covering training and go-live, followed by 30 days of post-launch support as required in the client’s knowledge transfer plan.  

Each dashboard was built with drill-down functionality so users could move from a high-level KPI straight into the granular data behind it. Access was controlled through separate Power BI apps per department, Executive, Supply Chain, Operations, and Quality Assurance, each scoped to that department’s security group as its audience, so a Supply Chain user only ever saw the Supply Chain app in their list of workspaces. Within the Operations and Supply Chain dashboards, row-level security (RLS) further restricted plant-level staff to data for their own facility, so a single dashboard could serve every production site without any one site seeing another’s numbers. Three Power BI Pro licenses were provisioned for the client’s admin team, the people who build, publish, and manage the datasets and reports, while the Premium capacity licensing covering the workspace let the remaining 60-plus end users view dashboards through their existing free Power BI accounts without needing individual Pro licenses.

Challenges Overcome

1. Reconciling inconsistent data across five systems: A production batch in the MRP system, a warehouse movement in the WMS, and a shipment in the TMS all needed to be joined into a single reportable data model, and none of the systems had been designed with that kind of cross system reporting in mind. Code Creators overcame this by building a consistent key structure during the data modeling phase itself, mapping how each system’s version of a purchase order, batch, or shipment related to the others before any dashboard work began. That upfront investment meant the join logic only had to be solved once, well before any of the 16 dashboards were built. 
2. Getting stakeholder alignment across four departments: With four departments each bringing their own view of what “important” looked like, reaching agreement on which KPIs actually mattered was harder than any single technical task on the project. Code Creators addressed this by running structured, department-by-department discovery sessions, capturing each function’s KPIs separately before reconciling overlaps and conflicts into a single blueprint, an approach that surfaced more disagreement up front than one combined workshop would have. The discovery phase used the full 2 weeks allotted, longer than a single-department project would typically need, but it meant the eventual 16 dashboards mapped directly to the real decisions people were making. 
3. Keeping five data sources refreshing reliably without manual intervention: With five systems feeding one data model, an unreliable connector or an unscheduled API change in any single source risked breaking dashboards for every department at once, well beyond the team tied to that system. Code Creators mitigated this by configuring scheduled, monitored refresh cycles for each connector independently and validating each one during user acceptance testing before go-live, so a delay or failure in one source system’s refresh could be caught and resolved without taking every dashboard offline. 

Results & Business Impact  

The client now runs financial, supply chain, operations, and quality reporting from 16 Power BI dashboards pulling from a single data model that refreshes automatically every 4 hours across all five source systems. Manual reporting effort, the roughly 30 hours a week previously spent pulling exports and rebuilding spreadsheets, dropped to about 6 hours a week, an 80% reduction, and reports that used to lag 3 to 5 business days behind now reflect data that is never more than a few hours old. 

Quality assurance saw a particularly meaningful shift: compliance and food safety metrics that once sat in disconnected exports are now visible on 3 dedicated dashboards, cutting the time to spot a non-conformance or customer complaint trend from roughly a week down to same-day visibility. Executives have a single, consistent view of financial health, sales performance, and supply chain logistics for the first time, and within the first 30 days after go-live, more than 60 users across the four departments were actively viewing the new dashboards through the client’s Premium capacity, well beyond the 3 core Power BI Pro seats provisioned for the admin team. 

The shift also changed how decisions get made day to day. Finance now reconciles month-end numbers against one consistent dataset, cutting down on the back-and-forth that used to happen when two reports disagreed. Supply chain planners adjust purchase orders using the same freight and supplier data that operations sees on the shop floor, replacing what used to be a stale weekly export. Operations leaders can trace a drop in output to a specific shift or production line within the same OEE dashboard, without requesting a separate report and waiting a day for an answer. Quality assurance can pull up complaint trends by product line within hours of a pattern forming, well before the next scheduled compilation would have caught it.

Lessons Learned

A few things from this project are worth carrying into any multi-system BI implementation: 

1. Discovery Time Is Never Wasted Time. Four departments meant four different definitions of “the numbers that matter.” Skipping ahead to dashboard building before that was resolved would have produced dashboards nobody trusted, because they would not have matched what each team actually tracked day to day. 
2. The Hard Part Is Rarely the Dashboard; It Is the Join. Getting a chart to render is easy. Getting a production batch in one system, a warehouse movement in another, and a shipment in a third to resolve to the same underlying business event is where most of the real engineering effort goes, and that work has to happen in the data model itself, well before anything reaches the visual layer. 
3. Regulated Industries Need Compliance Visibility Built In from Day One. For a food manufacturer under FDA, USDA, and FSMA oversight, treating quality and compliance metrics as a core dashboard category alongside sales figures reflected how much weight that data carries for a company this size. 

Client Testimonial

“Before this project, getting a straight answer about our numbers meant waiting for someone to pull exports from four or five different systems and hope they lined up. Now our team opens a dashboard, and the data is already there, already current. Within the first month we had more than 60 people across the company using it daily. The quality team especially has told us this changed how quickly they can catch a problem instead of finding out about it a week later.” 

Director of Operations – Food Technology Company

Facing a Similar Reporting Challenge? 

If your organization is running finance, supply chain, or operations reporting across multiple disconnected systems, the cost compounds every week your teams spend manually reconciling exports that could otherwise go toward making decisions.

Schedule a Power BI Consultation with Code Creators to see what a Power BI manufacturing dashboard could look like for your systems.