Manufacturing & Industrial
Industrial companies rarely have one data estate; they have many, accumulated plant by plant, country by country and acquisition by acquisition. Departments adopt their own reporting tools, group companies run different ERPs, and central IT is left delivering reporting from information silos that were never designed to be joined.
The answer is an enterprise platform and a migration path that the company’s own architects can execute: a target BI platform that scales to enterprise volumes and user counts, finance and operations data marts that consolidate across companies, and a group-level view for the board. Underneath, plant-floor data — quality, throughput, maintenance, materials — is where data engineering and data science pay back fastest.
Where data pays back in manufacturers
A data strategy per country
Each geography with its own approach and tools, information silos everywhere, and reporting a nightmare for the central IT team.
Departmental tools at enterprise scale
Desktop and departmental BI tools that cannot serve terabytes of data and tens of thousands of users.
No group-level view
Group companies on multiple ERPs and no way for the board to see any company’s numbers without manual reporting.
Operations data unused
Quality, throughput, maintenance and material-handling data collected on the plant floor but never turned into decisions.
Services for manufacturers
- Data & AI Strategy BI workshops and migration roadmaps that become a global strategy — with the company’s architects trained to carry it.
- Integration & Migration Migration from departmental tools to an enterprise BI platform, in an order that keeps reporting running throughout.
- Data Engineering & Warehousing Finance and operations data marts on SAP, Oracle and in-house ERPs; plant and machine data pipelines.
- Business Intelligence & Self-Service Group finance dashboards for every business head, board-level access to any company, and operations KPIs for plant management.
- Process Mining & Intelligence Order-to-cash, order-to-invoice and procure-to-pay discovered from the event log across plants and companies.
- Managed Analytics The consolidated platform run on subscription for groups without a central analytics team.
Outcomes
What changes
- A global BI strategy adopted across the board instead of information silos.
- Architects and development teams equipped to run the transformation themselves.
- Near-real-time management KPIs across every group company.
- Plant-floor data feeding quality, throughput and maintenance decisions.
Questions we're asked in manufacturers
No. We start with a roadmap and workshops, train your architects on the differences between the platforms, and migrate in an order that keeps reporting running — the client decides the pace.
Yes. Finance marts built on each ERP feed a single corporate dashboard, so business heads and the board see any company’s numbers on the same basis.
Yes — quality, throughput, predictive maintenance and material handling are where data engineering and data science pay back fastest in manufacturing, and we scope the platform to serve them.
Your team, trained as part of the engagement — or us, under a managed-analytics subscription, if you would rather not build a central analytics function.