Data Management and AI: automating governance and ensuring compliance

Data governance is now a strategic necessity for any organization, whatever its size. In a context where data circulates between multiple systems - ERP, CRM, Cloud, API, business applications - it is imperative to guarantee its reliability, traceability and compliance.
Without clear governance, companies expose themselves to analysis errors, duplication, loss of information and regulatory risks. Effective governance ensures the consistency, quality and security of data throughout its lifecycle.
It defines precise roles (Data Owner, Data Steward, Analyst), implements management policies, and sets up control and supervision mechanisms.
At IT Systèmes, we help companies build this governance framework using powerful tools such as Microsoft Purview and Fabric, combined with FlexFlow to automate the supervision and traceability of data flows. The result: reliable, controlled data that can be exploited by BI and AI in full compliance.

Data Management and Data Governance are two complementary but distinct disciplines. Data Management covers the day-to-day operations involved in managing data: storage, integration, transformation, quality, security and distribution. Data Governance, on the other hand, defines the strategic framework and rules of the game: it sets management policies, assigns roles and responsibilities, guarantees regulatory compliance (RGPD, AI Act, ISO 27001) and oversees overall consistency.In other words, Data Management acts, Data Governance frames.IT Systèmes combines these two dimensions to build a coherent ecosystem where governance defines standards and management ensures their application via integrated tools such as Fabric, Purview and FlexFlow, guaranteeing both performance and compliance.

Data Lineage, or data traceability, refers to the ability to follow the complete path of a piece of data - from its original source to its final use. It is a fundamental building block of governance, enabling us to understand how data is collected, transformed, aggregated and consumed.
Data Lineage brings many benefits:

• It facilitates regulatory audits and RGPD compliance.
• It allows you to quickly identify the origin of an error or discrepancy in a report.
• It improves the quality and reliability of analyses.
• It promotes user confidence and processing transparency.
  At IT Systèmes, we implement Data Lineage through Microsoft Purview, which automatically maps sources and transformations, and FlexFlow, which traces flows in real time. This combination provides total and instantaneous visibility of data circulation within your information system.

Effective governance depends on a clear division of responsibilities. IT Systèmes helps its customers define the key roles of Data Management:

• The Data Owner, who defines uses and rights.
• The Data Steward, who ensures data quality and consistency.
• The Data Analyst, who uses data to produce analyses.
• The DPO (Data Protection Officer) who monitors regulatory compliance.
  We help formalize these roles, document the associated processes and establish collaborative governance. This clarification reduces the risk of errors, improves the quality of exchanges and encourages the emergence of a shared data culture within the organization.

Effective governance is about more than compliance: it creates real business value.
By guaranteeing the reliability and availability of data, it enables teams to work with consistent, up-to-date and contextualized information. This improves decision-making, speed of execution and coordination between departments.
Governance also encourages the reuse of data: documented and tracked information can be used by several departments without loss of meaning.
With Microsoft Fabric, companies can pilot their performance in real time, while Purview and FlexFlow ensure transparency and compliance.
Well-mastered governance thus becomes a lever for operational efficiency, cost reduction and sustainable innovation.

A successful governance project follows a precise methodology, starting with a data audit and source mapping to understand data flows and dependencies, followed by the definition of governance policies to formalize rules: roles, responsibilities, classification, retention and access control.Next comes the implementation of management and automation tools (Purview, Fabric, FlexFlow), followed by a phase of training and acculturation of teams to anchor best practices.Finally, ongoing supervision ensures that policies are updated, adapted to regulatory changes and continuously improved.IT Systèmes supports its customers throughout this cycle, guaranteeing sustainable, measurable and scalable governance.

IT Systèmes relies on a complete, integrated ecosystem:

• Microsoft Purview for Data Lineage mapping, classification and monitoring.
• Microsoft Fabric for managing Data & AI environments and centralizing processing.
• FlexFlow for the automation and supervision of data flows.
  These tools unify technical and regulatory governance in a single interface. Purview ensures compliance and documentation, Fabric structures analytical environments, and FlexFlow automates monitoring and alerts.
  This triptych guarantees governance that is agile, secure and adapted to the new requirements of the RGPD and the AI Act.

IT Systèmes' added value lies in its global vision and multi-sector experience. We don't just deploy tools: we build a comprehensive strategy aligned with your business and regulatory objectives.
Our experts master technology (Azure, Fabric, Purview), compliance (RGPD, AI Act, ISO 27001) and automation (FlexFlow). This triple competency enables us to design sustainable, documented and compliant Data & AI architectures.
We also support organizations in the cultural transformation towards a "data-driven" enterprise, where data becomes a valued and shared asset.
IT Systèmes thus provides an approach that is at once technical, regulatory and human, guaranteeing high-performance governance that is measurable and resilient over time.