Turning Industrial Data
Into Operational Decisions

Finance spent 6–8 days every month consolidating FP&A data manually. Production, Sales, and Inventory systems ran in silos — large volumes of data existed but nothing communicated across teams. Plant Managers walked the floor for updates; Sales made decisions on reports days old.

Built a Databricks-based unified data layer ingesting all operational systems into a single governed source of truth. Deployed Conversational BI on top, giving Finance, Plant, Sales, and Inventory teams natural-language access to real-time metrics without SQL or waiting on data requests.

Month-end FP&A reduced from 6–8 days to a button click. All four teams now operate from a single shared platform. Downstream business impact: 5–15% sales uplift, 20–40% stockout reduction, 10–30% spoilage reduction.

Client had Power BI and a legacy ETL tool but no Change Data Capture. Semantic model refresh took 1.5 hours; ADF pipeline took 3–4 hours end-to-end. Reports were slow, data was stale, and full-load refresh cycles blocked operational decisions every night.

Migrated to Microsoft Fabric with CDC enabled via Azure SQL to capture only changed records. Rebuilt the semantic model in Direct Lake with a Hub & Spoke architecture for domain separation. Re-engineered ADF pipelines with incremental processing to eliminate full-load refresh cycles entirely.

Semantic model refresh: 1.5 hours → 15 minutes (90% reduction). ADF pipeline: 3–4 hours → 15–20 minutes (85% reduction). Data freshness moved from batch-daily to near real-time. Domain-specific semantic models via Hub & Spoke reduced cross-team dependency on a single shared model.

Company documents, project records, and resource data were stored on a single person's personal OneDrive. No shared visibility into active projects, deadlines, or team availability. Folder creation, status reminders, and task tracking were entirely manual — all bottlenecked through one individual.

Built ISC Operations — a SharePoint-based central hub covering Safety, Projects, Construction, Engineering, and Asset Management libraries. Delivered a mobile-friendly Power Apps ISC Operations App for Projects, Tasks, Resources, and Documents. Deployed four Power Automate flows: automated project folder creation, weekly status reminders, task due-date alerts, and new resource notifications. Power BI for management visibility; Copilot for document discovery.

All active projects, tasks, and resources visible in one shared platform. Standard project folder structure now created automatically on new project entry. Dependency on a single person's drive eliminated. Field engineers update status from mobile; back-office has real-time visibility without chasing emails.

The CEO was personally spending weeks every reporting cycle building Excel reports from scratch. The operations team faced the same problem — no automated reporting pipeline meant hours of manual data collection before any analysis could start. Decisions waited on spreadsheets. Leadership had no real-time view of Sales, Revenue, or Customer performance.

Migrated all reporting from Excel to Power BI with live data connections. Built three core dashboards — Sales Performance, Revenue Analytics, and Customer Insights — giving the CEO and operations team on-demand, always-current visibility without any manual preparation. The entire reporting cycle was automated end-to-end.

Weeks of manual work eliminated for the CEO and operations team every cycle. Reporting that previously required days of Excel work now happens automatically. Leadership access Sales, Revenue, and Customer data in real time — no waiting, no manual builds, no version confusion. Time previously spent on data assembly is now spent on decisions.

The client had sensors deployed across industrial building systems — Engineering, Energy, Asset Management, and Facility Management — but had no usable data from them. There were no real-time insights, no dashboards, and no way for operations teams to see what their sensors were actually measuring. The sensor investment existed; the intelligence layer did not.

Built a Databricks processing layer to ingest, clean, and structure incoming sensor streams across all four domains. Delivered domain-specific Power BI dashboards aligned to each team's operational KPIs. Integrated Copilot for natural-language querying, so facility and engineering teams could get instant answers from sensor data without raising technical requests.

Went from zero sensor visibility to real-time insights across all four building systems. Teams now receive instant sensor readings through live dashboards. Copilot-enabled querying means any team member can interrogate sensor data in plain language. The shift from no data to real-time operational intelligence was completed in a single engagement.

The operations team had no single source of truth. Sales and Revenue data came from multiple disconnected systems, making it impossible to get a correct, reliable number without a 5–10 day manual consolidation effort. By the time the analysis was ready, the data had already moved. Decisions were made on stale numbers or not made at all.

Built a unified Power Apps platform connecting field sales partners, channel members, finance operations, and back office to a single live data source. Power Automate workflows automated data routing and approvals between teams. Power BI dashboards delivered real-time Sales, Revenue, and Margin visibility to management — all from the same governed data pipeline.

The 5–10 day analysis cycle was eliminated. Operations now have a single source of truth for Sales and Revenue with real-time margin visibility. What previously required a week of manual consolidation is now available on-demand. All four teams — field sales, channel, finance, back office — operate from one live platform with no reconciliation required.