The seed and agri-food manufacturer Limagrain relies on the Microstrategy Cloud platform to make its businesses autonomous in the use of data. Thanks to several different levels of self-BI, governance and security are guaranteed.
The Limagrain group was born a little over fifty years ago, in the Limagne plain north of Clermont-Ferrand, when farmers created a new variety of corn. It is now the 4th largest seed company in the world and also has traced agri-food chains. In 2018, the group launched a vast transformation program around data, to meet the needs of its businesses and support its growth. This program has enabled it to deploy self-BI analytical capabilities for all its businesses, while maintaining security and ensuring data governance. On September 10, 2021, during the French edition of MicroWorld 2021, an event of the publisher Microstrategy, David Chades, data and analytics manager at Limagrain, related how these self-BI capabilities had been implemented and shared examples of projects carried out thanks to them.
Before embarking on this transformation, the Limagrain group encountered several challenges around data. The organization of the group, made up of multiple entities with a high degree of independence, as well as its frequent acquisitions resulted in a significant fragmentation of the information system, with a multitude of application, operational and decision-making bricks. “We needed to rationalize to reduce costs and provide more efficient and agile solutions to business units”, explains David Chades. It was also a question of industrializing the decision-making tools, in order to gain in performance and scalability. “We also wanted to reduce the IT bottleneck in analytical projects,” says David Chades. The challenge was to open up solutions to make users autonomous, through self-BI capabilities, while maintaining a certain level of control, particularly in terms of data security and regulatory compliance. Finally, a final challenge for Limagrain was to provide data-based services as close as possible to its users. “The aim was to provide them with MDM (master data management), data storage and organization services, and of course analytical functionalities, even though they are spread over four continents”, specifies the data and analytics manager. .
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