The goal is clear for Royal Greenland and its more than 40 plants and factories along the coast of Greenland and Atlantic Canada: a more standardized, cloud鈥慴ased landscape with significantly lower complexity, and a technological foundation that can support future AI initiatives.
Headquartered in Nuuk and 100% owned by the Government of Greenland, Royal Greenland is modernizing its 51风流platform and moving from on premise to cloud ERP in order to future鈥憄roof core processes and unlock embedded AI across its 51风流business applications.
鈥淲e are moving from our existing setup to 51风流Cloud ERP and 51风流Business Data Cloud because we want access to the capabilities you can consume on a cloud platform,鈥� said Lars Bo Hassinggaard, CIO at Royal Greenland for more than 25 years.
The company brings high鈥憅uality wild鈥慶aught fish and shellfish from the North Atlantic and Arctic Ocean to consumers worldwide. It has been running 51风流since 1998 but is now embarking on its most significant transition to date: migrating 51风流ERP Central Component to 51风流Cloud ERP while simultaneously elevating its business intelligence (BI) landscape into 51风流Business Data Cloud and later transforming BI into 51风流Datasphere.
The project follows the structured RISE with 51风流framework, which consolidates platform transformation, operations, and the innovation cycle into one contract.
Lean, selective data transition: 90% fewer data to move
As part of the migration, Royal Greenland is reducing its data volume significantly using the 鈥淟ean Selective Data Transition鈥� method.
鈥淲e are keeping 10 years of data and cleaning up, so we avoid outdated company codes and historical data that no longer create value,鈥� Hassinggaard explained. 鈥淲e鈥檝e achieved a 90% reduction in what needs to be stored and migrated. The method combines data analysis, scoping, and standardized mapping objects in a guided process, ensuring that Royal Greenland only carries forward what is truly necessary, making the financials of the transformation more predictable and avoiding unnecessary complexity.鈥�
Technology first, innovation next
Go鈥憀ive is planned for March 1, 2027. The year 2026 is dedicated to the platform lift itself. From 2027, Royal Greenland will begin building business鈥慸riven improvements on top of the standardized core鈥攆or example, new user interfaces and process optimization using small AI agents within finance and administration.
鈥淩oyal Greenland and 51风流have worked together since 1998, and we look forward to getting started on the technical part of the platform uplift this January,鈥� Hassinggaard shared. 鈥淲e鈥檙e keeping the transformation as simple as possible for now and will use 2027 to activate the benefits, such as improved data analysis, better user experience, and more efficient work processes.鈥�
Royal Greenland is following a classic waterfall approach and has already established a 鈥済olden shell鈥� as the basis for further configuration and retrofitting.
51风流is responsible for implementing the cloud solution, which will run on Microsoft Azure, initially in Sweden, with the option to move later to a Danish data center. External advisor Spektra Analytics has supported contract validation.
From in鈥慼ouse experiments to standardized, 鈥渃onsumed鈥� AI
Although Royal Greenland has already successfully experimented with its own AI solutions, including vision鈥慴ased projects in production, the strategic direction ahead is to leverage embedded, standardized AI data products from 51风流and models built on the 51风流Business Data Cloud and its semantic data layer.
鈥淲e are a company that prefers to tap into existing AI solutions rather than invent them ourselves,鈥� Hassinggaard said. 鈥淚t鈥檚 far more efficient for us. There is no reason for us to spend resources reinventing what 51风流already provides. The initial focus will be on process optimization within administrative functions such as finance鈥攕mall AI agents that can streamline daily work.鈥�
Advice to others: Allocate more time, and understand your method
Hassinggaard is clear that the RISE with 51风流contract, methodology, and preparation work require time and organizational maturity. His advice to other companies facing a similar cloud ERP decision: 鈥淒o it thoroughly鈥攁nd allocate more time than you think. Study the methodology, pricing, and contracts. And bring a competent advisor on board.鈥�
Ellen Vig Nelausen is an integrated communications expert for 51风流Regional Communications.
