Your ERP has the data. Your team cannot get it out.

Industrial services and distribution companies operate on a paradox: their ERP systems contain decades of operational data, and almost none of it is accessible for decision-making. Legacy ERPs like JD Edwards, SAP, or Oracle run the business, but getting a production dashboard, a route efficiency report, or a warehouse productivity analysis out of these systems requires outdated reporting tools, manual exports, or a request to an overloaded IT team.

The result is supervisors who piece together yesterday's numbers from printouts and spreadsheets every morning. Plant managers who know production is down but cannot pinpoint where. Leadership that makes investment decisions based on monthly financials instead of daily operational KPIs.

Operational dashboards from legacy ERP data. We connect directly to your ERP — whatever it is — and build transformation layers that turn raw transactional data into the metrics your team actually needs. At an industrial distributor, we built automated reporting on sales orders and warehouse picker productivity that replaced entirely manual processes. At a commercial laundry service, we assessed data infrastructure across two plant facilities covering production output, inventory management, route optimization, and chemical usage.

Manual reporting elimination. At an industrial distributor, CorrDyn eliminated 42 hours per month of manual reporting and 1 hour 15 minutes per day of data extraction time. The same data that used to require manual assembly now flows automatically into dashboards that operations teams check every morning.

Data infrastructure assessments for industrial operations. At a commercial laundry service, we conducted a full Data Infrastructure and Ecosystem Assessment covering existing data systems, business needs, technology selection, and implementation roadmap. Discovery meetings included operations leadership, IT, and plant facility staff across two locations.

Platform evaluation and modernization. We help industrial companies evaluate whether Databricks, Snowflake, or other modern platforms fit their needs and data volumes, avoiding over-engineering and selecting tools that match their actual complexity.

We speak the language of operations, not just data. Output per labor hour, pick rates, route efficiency, work in progress: these are the KPIs that matter to plant managers and warehouse supervisors. We build dashboards that show these numbers, sourced from the ERP systems that already hold the data, without requiring a multi-year platform migration.