Kévin le Denic

Professional Background

Kevin Le Denic specializes in data-driven transformation and advanced analytics implementation for organizations.

He joined Mazars in 2020, where he co-leads the Data Advisory team in France, bringing together Data Engineers, Data Analysts, and Data Scientists.

He graduated from Grenoble École de Management and began his career at Accenture, where he delivered large-scale projects involving:

• ERP system implementations
• Business intelligence platforms
• Enterprise-wide digital transformation initiatives

Career & Experience

Kevin supports organizations throughout their end-to-end data transformation journey, from strategy to execution.

He assists clients with:

• Definition of data and analytics strategies based on business use cases
• Design of modern data platforms and operating models
• Implementation of data governance frameworks, data quality processes, and MDM (Master Data Management)
• Delivery of iterative analytics solutions and data products

Areas of Expertise

• Data strategy and transformation
• Advanced analytics and data science
• Data engineering and platform architecture
• Data governance and data quality management
• Master Data Management (MDM)
• Business intelligence and ERP integration

Sector Experience

Kevin works across a wide range of industries, including:

• Consumer goods
• Transport
• Banking and financial services
• Luxury
• Healthcare
• Energy
• Telecommunications
• Automotive

Public sector and local authorities

He also collaborates closely with corporate functions such as:

• Finance
• Procurement
• Human Resources
• Internal control

Professional Approach

Kevin is recognized for:

• Strong ability to translate business needs into data solutions
• End-to-end expertise from strategy to implementation
• Cross-functional and multi-sector experience
• Leadership in building data capabilities within organizations

Kevin Le Denic combines deep expertise in data transformation with strong leadership in analytics delivery, helping organizations unlock value from data within Forvis Mazars.