Maisons du Monde

Maisons du Monde uses DataGalaxy to advance its data governance strategy and give its employees access to reliable data for better decision-making.

The solution gives us an easier user experience. We now have a very user-friendly tool. That’s the first benefit for us, and one that has enabled all our business teams to adopt the solution.

Elodie Prodhomme
Chief Data Officer

DNDi Case Study

customer overview

Maisons du Monde

Founded in 1996, Maisons du Monde is a retail, home furnishings and decoration company. It is currently present in nine countries with 357 stores.

Visit their website: www.maisonsdumonde.com

Key info:

  • Five years ago, Maisons du Monde implemented a data governance strategy (new technical team, deployment of a data lake) to leverage its large volume of data on its products, customer behavior and supply chain,
  • Thanks to the implementation of DataGalaxy, business teams can now easily find KPIs and understand their use. This first use case has accelerated the adoption of the tool by Maisons du Monde’s business teams.
  • Data teams now have more time to devote to more innovative tasks, more focused on prediction, forecasting and prescription.

Industry: Distribution, furnishings and decoration

Headquarters: France

Workforce: 8,000 collaborateurs

Financials:  £1.2 billion in 2022

Pascal Carpentier DNDI

One of our challenges was to have a tool that we could make available to business teams, both technical and functional. DataGalaxy fully addresses this issue, as it is very simple and intuitive.

Geoffroy Gourdon
Data Governance Manager

Project background and strategic challenges

Maisons du Monde got off to a pretty fast start on data with a new technical team and a Data Lake in 2018. They very quickly had a large volume of data around products, customer behavior and the supply chain. With such a large volume of data and indicators, they knew they needed a data governance strategy.

They developed a strategy with several objectives:

  • to speak a common language
  • make data available to business teams to facilitate decision-making
  • acculturate the whole company to the importance of data.

Having established the foundations of this data governance strategy, Maisons du Monde decided to take the next step and set up a data catalog.

They were looking for a tool that would enable them to put data at the heart of the company’s key processes:

  • structure and organize large volumes of data
  • train business teams using a simple, intuitive tool.
  • free up data teams’ time for more innovative work

The Maisons du Monde Data Catalog

Maisons du Monde chose the DataGalaxy solution for four main reasons:

  • Accessibility of the DataGalaxy tool to business teams
  • The availability of a data glossary to achieve the common language objective
  • The ability to implement data lineage
  • Competitive pricing of the solution in a period of cost optimization

None of Maisons du Monde’s employees had any experience of implementing a tool like DataGalaxy. They therefore called on an integrator, Layer Data, who had already mastered the tool and all aspects of data governance, to help them with the technical aspects and documentation.

Having set up their data catalog on DataGalaxy, it was time to bring business users on board. The data team began by taking their needs into account. The main problem for business users was that they were often looking for a specific KPI, but didn’t know where to find it.

By taking into account the KPIs that the business teams needed to find, the Maisons du Monde data team was quickly able to solve this problem. Now, the business teams know which dashboard the KPIs are in, as well as the formula used, the definitions and the entire KPI data path. Thanks to this ease of use, business teams were quickly on board and understood how the tool worked.

They were also able to help their DPO with the RGPD aspect, with everything to do with register processing. They worked closely with her on this aspect, and proved to her that DataGalaxy could meet this need.

Why Maisons du Monde loves DataGalaxy

An intuitive, easy-to-use solution

for technical and business teams

Support from DataGalaxy teams

with the aim of co-constructing a solution to meet Maisons du Monde’s current and future needs

Data lineage functionality

which greatly simplified the task of mapping the entire data path.

Results of using DataGalaxy

  • The definition of indicators, and everything that makes it possible to achieve this common language objective, is one of the main reasons for the adoption of the solution by the business teams at Maisons du Monde.
  • The qualification and inventory of all processing carried out on customer data, facilitating the work of the DPO and the RGPD compliance of customer information.
  • Huge progress on the subject of data lineage, enabling all stages of data processing to be understood: from collection to transformation, presentation and feedback to business teams.
  • Now, data teams have more time to deal with more innovative tasks, more focused on forecasting, prediction and prescription.

Elodie Prodhomme
Chief Data Officer

“My teams regularly exchange ideas with the DataGalaxy teams. I get the impression that we’re in the process of co-constructing our future offering, exchanging and collaborating to help the solution evolve and address our future needs.”

Maisons du Monde’s technology stack

Google Cloud Storage is a managed service for storing unstructured data at a large scale.

Google Cloud Storage

BigQuery is a serverless, cost-effective, and multi-cloud data warehouse designed to help you turn big data into valuable business insights.

Google BigQuery

Qlik Sense offers modern analytics that empowers users at all skill levels to uncover insights and trigger actions when it matters.

Qlik Sense

Oracle offers a comprehensive and fully integrated stack of cloud applications and cloud platform services.

Oracle

SQLserver

SQL Server

Talend Data Fabric offers a scalable, cloud-independent data fabric that supports the full data lifecycle, from integration and quality to observability.

Talend

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