Cloud & Data Project Industrialization
Context As part of its global digital transformation, the client, a large…
Data & IA
Unlock the value of your data
Data is now at the heart of decision-making, performance, and innovation. However, in many organizations, it remains underutilized, poorly structured, and difficult to activate.
Scattered and unreliable data
- Limited use for decision-making
- Data & AI projects that are difficult to implement
- Poorly structured data environments
- Low adoption by business teams
- Data security and compliance challenges
Faced with these challenges, Avaliance supports companies in structuring, leveraging, and activating their data.
We work to transform data into a concrete driver of decision-making, performance, and innovation.
Our Data & AI Value Drivers
01
Data strategy and governance
Data strategy and governance
• Definition of a Data strategy aligned with business challenges and value creation
• Implementation of robust governance frameworks (policies, standards, and reference models)
• Deployment of modern organizational models (Data Mesh, Data Office, Data Domains)
• Improvement of data quality, traceability, and reliability (Data Quality, Data Lineage)
• Regulatory compliance and data security (GDPR, risk and access management)
02
Data Platform and Data Engineering
Data Platform and Data Engineering
• Design and deployment of modern and scalable data platforms (Cloud Data Platforms)
• Implementation of reference architectures (Data Lakehouse, Medallion, Data Warehouse)
• Development of industrialized data pipelines (ETL/ELT, ingestion and transformation)
• Automation and orchestration of data flows (DataOps, CI/CD, observability)
• Optimization of performance, security, and costs in multi-cloud environments
03
Data Products and Data as a Service
Data Products and Data as a Service
• Design and industrialization of business-oriented Data Products
• Provision of data through Data as a Service (DaaS) models
• Exposure and monetization of data via APIs and data marketplaces
• Definition of service agreements and quality levels (SLA, Data Contracts)
• Lifecycle management and governance of data products to maximize their adoption
04
Analytics and Self-Service Analytics
Analytics and Self-Service Analytics
• Design of dashboards and strategic performance indicators (KPIs)
• Deployment of Business Intelligence solutions and advanced reporting
• Promotion of Self-Service Analytics to enhance business autonomy
• Harmonization of indicators and reference models for unified management
• Promotion of a data-driven culture within the organization
05
Artificial Intelligence and Agentic AI
Artificial Intelligence and Agentic AI
• Identification and prioritization of high-value use cases
• Design and deployment of Machine Learning and generative AI models
• Development of intelligent and autonomous agents based on Agentic AI
• Industrialization and scaling of AI solutions (MLOps, LLMOps)
• Ethical, security, and regulatory governance of AI initiatives (Responsible AI)
Your performance drivers
Informed decisions
1. Reliable, accessible, and structured data
2. Faster, more relevant, and better-driven decisions
Optimized performance
1. Advanced use of data and analytical models
2. More efficient and better-controlled operations
Revealed opportunities
1. Identification of growth drivers and new use cases
2. A greater ability to anticipate and innovate more quickly
Intelligent automation
1. Deployment of AI use cases and process optimization
2. Productivity gains and a reduction in low-value tasks
Client case studies
Data-Centric Strategy
Context The client launched a strategic program to structure its data capabilities…
Risk Management Application Modernization
Context As part of its IT transformation and in response to increasing…
