La Vie en Rose
Retail industry
Modernizing la Vie en Rose’s analytical environment to improve strategic decision-making with accurate, centralized, and accessible data.
Context
1
The ERP migration revealed limitations in Business Objects (BOBJ) reports, resulting in data errors and a loss of user trust.
2
The absence of a coherent governance model for data made advanced analytics (e.g., sales forecasts, inventory optimization) difficult to implement.
3
The current architecture did not support BI in a self-service mode, leading to delays in accessing critical data.
Challenges
Data centralization
Resolve duplications and inconsistencies within data sets.
Data governance
Establish clear rules and a robust security model.
Reports and analysis
Provide an intuitive and self-service solution enabling users to quickly generate their own reports.
Objectives
1
Migrate to a modern cloud architecture with Azure.
2
Deploy a self-service Power BI environment.
3
Enhance data quality and security.
Proposed Neos Solutions
Migration and reorganization of the analytical environment
Review of existing architecture
In-depth needs analysis to design an optimized infrastructure based on Microsoft Azure.
Migrating to Microsoft Azure
Data migration to a Microsoft Azure Data Lake enables centralized sources, simplifying the management and analysis of structured and unstructured data.
Query performance optimization
Use of Azure Synapse for faster analytical processing and Azure Analysis Services to reduce response times for complex queries.
Automation and simplification of reporting
Dynamic Power BI report development
Creation of tailored dashboards in Power BI, personalized for each department (sales, marketing, finance).
User training
Providing end-users with “super-user” training on Power BI to foster self-sufficiency and reduce IT dependence.
Implementation of robust data governance
Enhanced access controls
Establishing advanced access controls (RBAC rules) to protect sensitive data and ensure only authorized users have access.
Standardization of business rules
Centralizing definitions and rules for consistent analysis across different departments.
Results achieved
Data standardization
Implementation of a data governance model ensuring uniform rules for all analyses, enabling consistent interpretation of KPIs across departments.
Empowered analytics teams
Team training to facilitate access and analysis of data independently, reducing dependency on IT and accelerating access to insights.
Inventory optimization
With interactive dashboards, teams accurately track product rotations, improving resource management.
“Thanks to Groupe Neos, we modernized our analytical environment and reduced delays in accessing our data. Today, we make decisions with complete confidence.”
Éric Champagne, CIO
La Vie en Rose
Technologies used
Microsoft Azure
Data Lake, Azure Synapse, Azure Analysis Services.
Azure DevOps
Pipeline management and automation.
Power BI
Development of interactive reports and dashboards.
Conclusion
Groupe Neos transformed La Vie en Rose’s analytical infrastructure into a modern, centralized, and secure environment. By leveraging tools like Microsoft Azure and Power BI, the company now benefits from streamlined data access, governance, and analytics capabilities. These solutions not only expanded decision-making capacity but also strengthened operational efficiency.