What is Data Governance at element61?

Data Governance at element61 defines how an organization manages, organizes and controls its data assets to ensure trust, compliance and scalability. It provides the rules, roles and practices that ensure data is used responsibly across people, processes and systems. La Data Governance chez element61 définit la manière dont une organisation gère, organise et contrôle ses actifs de données afin de garantir la confiance, la conformité et la scalabilité. Elle fournit les règles, les rôles et les pratiques qui assurent une utilisation responsable des données à travers les personnes, les processus et les systèmes.

Why is Data Governance important?

Data Governance ensures that data is trustworthy, consistent and usable for decision-making. It reduces risks related to poor data quality, inconsistent definitions and regulatory non-compliance, enabling organizations to become truly data-driven. La Data Governance garantit que les données sont fiables, cohérentes et exploitables pour la prise de décision. Elle réduit les risques liés à une mauvaise qualité des données, à des définitions incohérentes et au non-respect des réglementations, permettant ainsi aux organisations de devenir réellement pilotées par la donnée.

How does element61 practice Data Governance?

element61 embeds Data Governance in all data services, but also offers a specialized governance program covering key pillars such as policies & standards, data quality, metadata and master & reference data. This ensures robust data management and improved analytics value. element61 intègre la Data Governance dans l’ensemble de ses services data, tout en proposant également un programme spécialisé couvrant des piliers clés comme les politiques et standards, la qualité des données, les métadonnées et les données de référence et de base. Cela garantit une gestion robuste des données et une meilleure valorisation analytique.

What are the core components of Data Governance?

The core components of Data Governance at element61 include Data Standards & Policies, Data Profiling & Data Quality, Metadata & Business Glossary, and Reference & Master Data Management. These components help align operational and analytical use of data. Les composantes clés de la Data Governance chez element61 comprennent les standards et politiques de données, le profiling et la qualité des données, les métadonnées et le glossaire métier, ainsi que la gestion des données de référence et des master data. Ces composantes permettent d’aligner l’usage opérationnel et analytique des données.

What business problems does Data Governance solve?

Data Governance helps organizations address inconsistent master data across systems, low trust in analytics insights, unclear business definitions of key metrics, difficulty complying with regulations like GDPR, and slow or error-prone decision processes. Improving governance results in faster adoption, better decisions and stronger regulatory compliance. La Data Governance aide les organisations à résoudre les problèmes de données de base incohérentes entre les systèmes, de faible confiance dans les insights analytiques, de définitions métier floues pour les indicateurs clés, de difficultés à se conformer à des réglementations comme le RGPD, ainsi que de processus décisionnels lents ou sujets aux erreurs. L’amélioration de la gouvernance conduit à une adoption plus rapide, de meilleures décisions et une conformité réglementaire renforcée.

Who benefits from Data Governance services?

Data Governance benefits organizations that need reliable, high-quality data for analytics and AI, consistent business definitions and terminology, and control over data usage and compliance. It is relevant for leadership teams, analytics professionals, data engineers, data stewards and IT stakeholders. La Data Governance bénéficie aux organisations qui ont besoin de données fiables et de haute qualité pour l’analytics et l’IA, de définitions et d’une terminologie métier cohérentes, ainsi que d’un contrôle sur l’utilisation des données et la conformité. Elle est pertinente pour les équipes de direction, les professionnels de l’analytics, les data engineers, les data stewards et les parties prenantes IT.

How does Data Governance support analytics and AI initiatives?

Good Data Governance provides the foundation for analytics and AI by ensuring data is clean and profile-checked, clearly defined and contextualized, and consistently integrated across systems. This allows analytics and AI models to be trusted and operationalized with confidence. Une bonne Data Governance fournit les fondations de l’analytics et de l’IA en garantissant que les données sont propres et contrôlées, clairement définies et contextualisées, et intégrées de manière cohérente entre les systèmes. Cela permet de faire confiance aux modèles analytiques et d’IA et de les opérationnaliser avec confiance.

Can element61 assess an organization’s Data Governance maturity?

Yes. element61 offers assessments to determine a company’s current Data Governance maturity level and recommend pragmatic steps to improve governance practices based on real organizational needs and lessons learned. Oui. element61 propose des assessments pour déterminer le niveau actuel de maturité en Data Governance d’une entreprise et recommander des étapes pragmatiques afin d’améliorer les pratiques de gouvernance sur la base des besoins réels de l’organisation et des enseignements tirés du terrain.

What standards or frameworks does element61 use in Data Governance?

element61 aligns governance programs with recognized frameworks such as the Data Governance Institute standards, and can integrate industry best practices into policies, roles, decision rights and process definitions. element61 aligne ses programmes de gouvernance sur des référentiels reconnus, tels que les standards du Data Governance Institute, et peut intégrer les meilleures pratiques du marché dans les politiques, les rôles, les droits de décision et les définitions de processus.

How does element61 help start a Data Governance program?

element61 helps organizations by defining clear data standards, roles and responsibilities, establishing data quality processes, building metadata & glossary frameworks, and implementing reference & master data structures. This creates a roadmap from governance basics to mature data-driven operations. element61 aide les organisations en définissant des standards de données clairs, des rôles et responsabilités, en établissant des processus de qualité des données, en construisant des frameworks de métadonnées et de glossaire, et en mettant en place des structures de données de référence et de master data. Cela crée une feuille de route allant des bases de la gouvernance à des opérations matures pilotées par la donnée.

Data Governance

Data Governance that works

Data governance is a term that is often used but seldom interpreted in the same way by all parties. At element61 we integrate some form of data governance in all our service offerings (data modelling, data architecture, data warehousing & business intelligence…).

But some topics are so embedded in taking good care of our data, that for element61, our specialized data governance offering focuses on four main areas:

Image	Data Standards & Policies Having a clear understanding of how we work together with data is fundamental to collaborating efficiently and avoiding mistakes. By applying Data Policies we can guide the organisation into following the intended behavior and comply with internal and external regulations. And by agreeing on Data Standards such as formating, file types, naming conventions,... we can work together and ensure interoperability.
	Data Profiling & Data Quality Trust in data is important if you want your organization to become data-driven. But is your data worthy of trust? And even if it is, can you convince others to put aside their skepticism and use your data to make important business decisions? Data profiling provides insight and statistics into your data to discover and quantify quality issues or to provide assurance that your perceived data quality is indeed a reality.
	Metadata & Business Glossary Just like your data gives you insight into your business, metadata will grant you insight into your data. Data without context is tricky to understand and navigate. By cataloging your data and adding valuable business context in a Business Glossary, you enable your organization to really make use of your data.
	Reference & Master Data Some data is just so important, that it deserves some special attention. Reference data and master data are the building blocks of your operations, as well as your business analytics. To ensure that you can analyze data from all over the organization in a robust manner, often master data management is a key requirement to obtain your golden records across departements, functions and operational systems.

At element61 we believe that data governance is crucial and unfortunately often overlooked. But as you progress with your data initiatives, it often becomes more apparent that data governance is key to truly maximizing the value of your efforts in Analytics.

Good data governance is not just a theoretical framework which lacks tangible outcomes.
It can address the following problems that occur in most organizations:

You are modeling your data warehouse but notice that your master data is not aligned between sources.
Your data contains duplicate records or is missing information that was supposed to be mandatory.
Your data platform is in production, but you see that adoption is not as intended, because users do not trust its content or do not fully understand business definitions and calculations.
You need to report on what personal data exists in your organization -for GDPR purposes- but have no idea how to compose a complete overview.
…

This is truly what Data Governance is all about, and you will experience concrete business benefits, be it better adoption, less rework, accurate and faster decision-making, avoiding regulatory fines…

If you have a specific use case in mind or want to know where to get started, contact us for more information on our recommended solutions, Data Governance maturity scans or Data Governance roadmaps.

FAQ

Data Governance at element61 defines how an organization manages, organizes and controls its data assets to ensure trust, compliance and scalability.
It provides the rules, roles and practices that ensure data is used responsibly across people, processes and systems.

Data Governance ensures that data is trustworthy, consistent and usable for decision-making.
It reduces risks related to poor data quality, inconsistent definitions and regulatory non-compliance, enabling organizations to become truly data-driven.

element61 embeds Data Governance in all data services, but also offers a specialized governance program covering key pillars such as policies & standards, data quality, metadata and master & reference data.
This ensures robust data management and improved analytics value.

The core components of Data Governance at element61 include:

Data Standards & Policies: rules and agreements on how data should be handled across the organization
Data Profiling & Data Quality: measuring, diagnosing and improving data accuracy and completeness
Metadata & Business Glossary: context and business meaning for data assets
Reference & Master Data Management: ensuring consistent, single versions of critical business data

These components help align operational and analytical use of data.

Data Governance helps organizations address:

inconsistent master data across systems
low trust in analytics insights
unclear business definitions of key metrics
difficulty complying with regulations like GDPR
slow or error-prone decision processes

Improving governance results in faster adoption, better decisions and stronger regulatory compliance.

Data Governance benefits organizations that need:

reliable, high-quality data for analytics and AI
consistent business definitions and terminology
control over data usage and compliance
It is relevant for leadership teams, analytics professionals, data engineers, data stewards and IT stakeholders.

Good Data Governance provides the foundation for analytics and AI by ensuring data is:

clean and profile-checked
clearly defined and contextualized consistently integrated across systems

This allows analytics and AI models to be trusted and operationalized with confidence.

Yes. element61 offers assessments to determine a company’s current Data Governance maturity level and recommend pragmatic steps to improve governance practices based on real organizational needs and lessons learned.

element61 aligns governance programs with recognized frameworks such as the Data Governance Institute standards, and can integrate industry best practices into policies, roles, decision rights and process definitions.

element61 helps organizations by defining clear data standards, roles and responsibilities, establishing data quality processes, building metadata & glossary frameworks, and implementing reference & master data structures.
This creates a roadmap from governance basics to mature data-driven operations.

Experts

Kamil Radomski

Steven Decerf

Tom Bouten