Data & Trust is the prerequisite for any AI transformation at scale. Activated as a standalone program, or as a prerequisite for a pillar. It is the foundation on which agents, factories and AI products can fully deliver on their promise.
Can be activated separately depending on existing data maturity, or as an integrated program to get ready ahead of an AI transformation.
Business object model, quality analysis (completeness, uniqueness, freshness, accuracy), lineage, monitoring, remediation. LLM-based automated anomaly detection, with no need to define control rules upfront.
Architecture, build and operation of data platforms on the market's reference stacks. Active partnerships backed by certifications. Sovereign equivalents available.
Structuring and modeling data products. BI Factory: BI landscape rationalization, migration from legacy stacks to modern ones. BI service center for run and continuous improvement.
Customer, product and site master data: convergence, data exchange, reliability, maintenance. MoM (Master of Masters) exchange platforms. The technical conditions for interoperability at scale.
Data policies, data domains, new roles (Data Office, Data PO, Data Manager), business accountability, GDPR and AI Act compliance. Data literacy at scale, in connection with the Change pillar.
Securing data and its confidentiality. Pen tests, security reviews, compliance audits. Niji is PACS and PASSI 2.2 qualified by ANSSI.
Thanks to our partnerships with the four data market leaders, our Claude (Anthropic) and UiPath certifications, and our expertise in their technologies, we help our clients choose the solution best suited to their context, with no vendor dependency.
Architecture and operation of the Google Cloud data platform for large enterprises. From the data lake to deploying AI models in production.
Unified lakehouse, Unity Catalog for data and model governance, MLflow for the ML lifecycle. The reference platform for industrial-scale data programs.
Microsoft's unified analytics platform, covering the entire value chain, from data engineering to business intelligence and real-time analytics. Native integration with Microsoft 365 and Azure ensures seamless continuity across environments.
Unified Data Cloud for warehousing, sharing and analysis at scale. Native multi-cloud architecture, ideal for cross-entity data programs and real-time AI use cases.
Claude models for large enterprises' generative and agentic AI use cases: assistants, agents, AI-assisted development. Many active Claude certifications, including CCA-F, and project references.
Process automation platform, from RPA to agents. Many active UiPath certifications and competence centers at our clients.
100% independent and French-owned. Where some of our competitors belong to foreign groups, Niji remains in control of its own capital, and your most sensitive data stays under French jurisdiction.
Niji is PACS and PASSI 2.2 qualified by ANSSI. 60 dedicated cyber experts for data security, pen tests and security reviews.
We also assess your artificial intelligence systems through AI-assisted penetration testing and red teaming exercises applied to agents and models. An approach built for the new challenges of AI, beyond traditional information system security.
Nantes, Valence and Casablanca are certified as "secure sites" for service centers handling sensitive scopes.
Sovereign cloud options available: OVHcloud, NumSpot, Scaleway, on-premise. SecNumCloud option for the most sensitive data.
Data & Trust underpins the Factory, Agentic and Growth pillars. Reliable, governed and well-managed data lets each of them reach its full potential.
While Data & Trust can be deployed on its own, in particular to prepare an AI transformation, its position as the foundation reflects a reality: without quality data, agents lack context, production chains lose reliability and artificial intelligence solutions cannot create lasting value.
AI-native squads generate code from business rules. Those rules must be reliable and traceable.
AI agents draw on enterprise knowledge through RAG. Data quality determines the quality of the answers.
Augmented R&D, yield management, one-to-one personalization. Impossible without quality data that is traced and governed.
Strategic framing always includes a diagnostic of the state of your data assets. It is one of the framing deliverables.
Two data transformation programs that show the reach of the Data & Trust pillar, from strategy to production.
Overhaul and execution of the Group's data strategy across every pillar of the foundation: governance, quality, platforms, compliance.
MDM master data and interoperability at scale, sovereign data foundation and SecNumCloud compliance.
Once the foundation is in place, the three pillars can deliver on their full promise, with reliable, governed and secure data.
Looking to consolidate your data assets, strengthen your sovereignty or bring your AI systems into compliance? Tell us about your situation and we will get back to you within 24 hours.
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