By moving data to tabular cubes in the cloud, DLF achieves fewer bottlenecks, greater stability, and improved governance
Complex, unstable, and difficult-to-access cubes built in-house. Inconsistent reporting structure across countries affects data quality.
Tabular cubes built in Microsoft Azure solve issues with stability, speed, security, governance, and eliminate bottlenecks in the business.
Super users are the key to success
An essential part of the project has been to identify super users in the individual departments and countries who have a deep understanding of their part of the business and can continuously test and validate the model, as well as provide input for improvements.
"The super users we have designated play a significant role in shaping the development of the tabular models. They contribute to determining what and how we develop, as well as setting the priority. They are the ones closest to the business and therefore know what matters most," Tina Mathiasen says.
DLF is one of the world's leading companies in the development and production of seeds. They have a special emphasis on sustainability and environmental responsibility, and they invest significantly in research and development to ensure that their seeds are suited to various climate and growth conditions.
Headquartered in Roskilde, DLF currently employs around 2,200 people spread across the majority of the world.