Lectra uses DataGalaxy to add value to its 50+ years of data collection and provide
self-service data access to every employee.
I’d recommend DataGalaxy because it’s the tool that won over the business users. It would be almost impossible to get business users to commit to deploying governance within the group, and we need their buy-in for our projects. Clearly, DataGalaxy is a vehicle for getting that buy-in.
Lectra VP of Architecture and New Technologies
A major player in the fashion, automotive, and furniture markets, Lectra offers industrial intelligence solutions that facilitate the digital transformation of companies through its software, equipment, data, and services.
Visit their website: www.lectra.com/en
- Over the course of 50 years in business, Lectra has digitized its customers’ data, know-how, and best practices, resulting in the collection of an immense volume of data.
- In 2022, Lectra developed a three-year strategic plan that included the deployment of a data governance strategy and the launch of a data catalog tool.
- Lectra chose DataGalaxy because it was looking for an easy-to-use, intuitive tool aimed at both data engineers and business teams.
Project background & strategic challenges
After 50 years of data collection, the challenge for Lectra was to create more value from the data they manage every day, both for themselves and for their customers. They needed to manage their vast data assets, and having an up-to-date, well-documented inventory of their data was key. Lectra therefore decided to equip themselves with a data catalog.
Lectra drew up its three-year strategic which included the deployment of data governance and a data catalog to achieve this. Lectra’s strategy was designed to cover a wide perimeter of data related to:
- Their product offering
- Strategic challenge of CSR
- Project opportunities as part of the overhaul of their back office (ERP)
- Regulatory requirements (RGPD)
Lectra’s business teams grew especially fond of DataGalaxy, and we were able to match their global vision of collaboration among IT, technical, and business teams.
Lectra’s data catalog implementation process
Lectra opted for an incremental deployment based on an opportunistic approach according to the subjects they prioritized within their data governance framework by executive-level stakeholders. In this way, Lectra’s teams are gradually populating DataGalaxy: Their first step was to set up a data governance system with a data steward overseeing exchanges with the various data owners and technical teams in the different departments, according to the priorities defined by the governance committee.
To ensure DataGalaxy was adopted by Lectra’s business teams, a three-year plan was defined and communicated to all managers. This provided the necessary sponsorship for teams to feel involved.
- An initial use case with one business team enabled them to highlight the benefits of DataGalaxy
- Feedback was then shared with the other teams to highlight these benefits
- This gradual roll-out enabled Lectra to concentrate on providing a smaller number of users with more support as they got started
Lectra’s deployment plan was also supported by :
- Sponsorship at the highest level of the organization to ensure data governance deployment aligned with corporate strategy and priorities
- Involvement of business user representatives as early as possible to avoid making choices that are deemed too technical
- Identifying the right data stewards with both interpersonal and technical qualities to communicate among the business, technical, and management levels
- An iterative, incremental approach that was aligned with the company’s priorities
- Support from partners with in-depth knowledge of the tool and data governance deployment
My advice for a successful approach would be based on five points. The first, which seems to me to be very important, is sponsorship at the executive manager level, so that the data catalog and data governance approach can be aligned with the company’s strategic priorities.
Next, it’s important to involve business users as early as possible in the implementation of the project, work with a partner to launch the project, set up the role of data steward around someone with the right skills to perform this essential role, and finally avoid taking a “big bang approach”, but rather an incremental approach.
Lectra Data Engineering Director
Results of using DataGalaxy
Lectra’s tech stack
Azure Data Lake