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la Vie en Rose

Retail Insdustry

Modernizing la Vie en Rose's analytical environment to improve strategic decision-making with accurate, centralized, and accessible data

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Context, Challenges, and Objectives

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.

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.​

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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.

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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.

Éric Champagne, CIO
la Vie en Rose

« Thanks to Neos Group, we modernized our analytical environment and reduced delays in accessing our data. Today, we make decisions with complete confidence. »

Technologies used

Microsoft Azure

Data Lake, Azure Synapse, Azure Analysis Services.

Power BI

Développement de rapports interactifs et dynamiques.

Azure DevOps

Gestion des projets et automatisation des pipelines.

réunion d'affaires

Conclusion

Neos Group 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.

Neos Microsoft Partner

+1 514.492.0150
2624-800 Square Victoria

Montreal, QC, Canada

H3C 0B4

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