Data Governance & Management
We create a foundation for effective governance and management through a framework that drives value and compliance.
Establishing a clear governance frameworks to mitigate risks, improve decision-making, and drive better business outcomes.
In today’s data-driven world, organizations need robust data governance and management practices to maintain data quality, ensure regulatory compliance, and unlock the full value of their data assets.
Artefact’s consulting services help businesses implement comprehensive data governance frameworks and best practices to ensure data integrity, enhance decision-making, and foster a culture of data-driven innovation.
We define and implement the data governance of organizations with our proven consulting methodology. This includes ideation of AI & GenAI cases, use of Operating Models (like the “AI & Generative AI Factory”), data governance programmes, and data infrastructure set-up.
A holistic approach to data governance and management, addressing every aspect of your organization’s data lifecycle.
Our experts work closely with your teams to design and implement governance frameworks that are aligned with your business objectives and industry regulations.
- Data Governance Framework Development: We build a governance model that establishes clear roles, responsibilities, and processes for managing data across the organization.
- Data Quality Management: We implement processes and tools to ensure the accuracy, consistency, and reliability of your data assets.
- Data Privacy and Compliance: We ensure compliance with global data regulations (GDPR, CCPA, etc.) while protecting sensitive customer information.
- Metadata Management: We organize and maintain metadata to improve data discovery, security, and usability.
- Master Data Management (MDM): We consolidate and manage critical data from multiple sources to create a single source of truth for the enterprise.
Data Governance, a pre-requisite to AI transformation: a journey in four stages.
Data governance is everyone’s responsibility in a company, accompanied with Artefact’s agnostic approach.
By following these four learning stages, companies will begin practising data governance without even realising it. Lying on our tech know-how and extensive field knowledge, we support our clients in the whole data governance process by providing insights and putting our experience at their disposal.
Our agnostic approach makes us the perfect ally to guide them in the selection of innovative and adapted tools and partners.
We have a proven framework that guides organizations in the deployment of their data governance’s program.
Mature organisations are business-driven and build their data governance roadmap in close relationship to their data use cases roadmap. They map data domains with the company’s strategic use cases and prioritise domains which serve many use cases.
One critical success factor is to start small and avoid the tunnel effect by identifying two or three critical domains with motivated owners and stewards, and to refine the methodology before deploying it in other domains.
Client Testimonial – Deployment of a Data Governance strategy as an AI transformation accelerator.
“This data adventure is a real revolution – it’s a cliché to say it, but it’s true. It’s going to provide tremendous acceleration for all of our businesses.”
Bruno Neyret, Chief Digital & Information Officer – Savencia Group
Data Governance white paper.
The purpose of this report is to help you understand what data governance is in practice by taking you on a journey through the data governance learning process each company inevitably experiences. This new awareness will allow companies to move more quickly from one stage to the next.
Our expert content about Data & AI transformation.
The Era of Generative AI: What’s Changing
The abundance and diversity of responses to ChatGPT and other generative AIs, whether skeptical or enthusiastic, demonstrate the changes they're bringing about and the impact...
How GenAI is helping to grow China’s wildly popular Little Red Book social platform
Edouard de Mézerac, Artefact APAC CEO, reveals what’s behind the curtain on Little Red Book, aka Xiaohongshu, China’s social media channel. The app, simply called...
Fierté AI: The open-source GenAI assistant that protects against microaggressions and reduces bias
A series of controversies surrounding the outcomes of GenAI models has increased advocacy for ethical oversight and governance of AI. While explicit bias, violence, and...
Hanan Ouazan, Partner & Generative AI Lead at Artefact at the Adopt AI Summit – Generative AI Introduction
Hanan Ouazan has graduated from Ecole Normale Supérieur and Ecole Centrale de Lille in ML and AI. He joined Artefact almost 10 years ago and...
Vincent Luciani, CEO and cofounder of Artefact - Opening keynote at the Adopt AI Summit
On June 5th, Vincent Luciani, CEO of Artefact, delivered an insightful speech at the Adopt AI Summit organized by Artefact at Station F in Paris....
Generative AI: companies face the challenge of industrialization
PoCs in generative AI have proliferated, mainly in large companies. But few initiatives have been industrialized due to their complexity. Hanan Ouazan, Partner and Generative...
