A clear master data governance model aligned across five countries - built to support SAP S/4HANA transformation and scale with the business.

After the merger of Altia and Arcus, Anora faced fragmented data, slow reporting, and unclear ownership - all while preparing for a major ERP transformation.
After Altia and Arcus merged, Anora struggled with reconciliation of P&Ls and reports across systems. Master data errors and slow reporting hampered daily decisions.
Nobody knew who owned what. Without clear data ownership, harmonizing key support systems became a lengthy, frustrating process that blocked progress.
Anora needed a governance model that didn't just solve today's pain - it had to scale through a major ERP transformation and beyond, across five countries.
A clear master data governance model that fits how Anora operates - built collaboratively with business and IT teams across five countries.
Worked with Anora's business and IT teams to map existing data flows, identify pain points, and surface where master data quality was breaking down.
Defined clear data ownership across product, customer, and vendor domains. Each business team understood what they owned and how it impacted others.
Designed a simple, scalable Master Data Governance model that fit how Anora actually operates - not a generic framework, but one tied to real business processes across five countries.
Ensured the new approach supports the SAP S/4HANA rollout. The model works today and scales through the ERP transformation - no rework needed later.
Clear roles, better data quality, and a foundation that scales with Anora's business and digital ambitions.
One scalable approach to master data - adopted across all Nordic operations, ready to support SAP S/4HANA rollout.
Product, customer, and vendor data all governed under a unified model
Workshops and interviews ensured business buy-in and adoption
The model works today and scales through the ERP rollout - no rework needed when the system changes.
“Data Design's expertise was instrumental in transforming how we manage our master data. Their structured approach not only improved data accuracy and governance but also empowered our teams to make more informed, data-driven decisions across the organization.”
