The new European Data Act and the rapid development of artificial intelligence pose a number of data management challenges for organizations. Companies that want to strengthen their market position and leverage the potential of AI projects must ensure data quality and regulatory compliance. Britenet experts will discuss how to prepare for this during a webinar for data and business leaders.
Key takeaways from the webinar
- The Data Act requires organizations to immediately adapt their systems and processes to avoid potential penalties and loss of competitive advantage.
- Effective digital transformation and AI implementation are only possible if the company's data is complete, consistent, and reliable.
- Conducting a Data Health Assessment is a key step in assessing data maturity and preparing the organization for technological development and regulatory compliance.
AI and the Data Act – how to effectively prepare your organization for change?
Britenet experts – Magdalena Jagiełło (Business Unit Director) and Piotr Wegner (Director of Solution & Bid Management) – and host Robert Blaas (Segment Marketing Manager) discussed the significance of the Data Act regulation and its impact on data management in organizations. They also shared the benefits of conducting a Data Health Assessment – a targeted assessment covering seven key areas of data management in a company.
Britenet’s Data Health Assessment – what is it and how does it work?
It is a quick, targeted evaluation that helps assess the readiness of data for use in AI projects, automation, or cloud solution implementation. It is a specific, measurable assessment that helps determine whether the data in an organization is complete, consistent, useful, and ready for future IT projects and profit generation.
During the discussion, the experts emphasized how data quality affects the accuracy of business decisions and the implementation of digital initiatives. At the same time, they pointed out that Data Health Assessment enables the identification of gaps, risk minimization, and the development of a clear action plan that supports both regulatory compliance and the company's technological development.
Below you will find some of the most important topics discussed during the Britenet expert webinar.
Changes you can't delay – why is the Data Act important today?
One of the most important points of the webinar was the discussion of the need for companies to take urgent action. Experts emphasized that the Data Act is not just a minor regulation, but one that has a huge impact on organizations and the way they use and share data in Europe.
Data Act – what do you need to know?
- The regulations came into force in January 2024, but the obligations apply from September 2025. Organizations must therefore urgently adapt their systems and processes to the applicable regulations if they want to continue to develop their businesses smoothly.
- Non-compliance may result in heavy financial penalties (up to €20 million or 4% of global turnover).
- The Data Act is not only a challenge for the legal departments of organizations. The regulation introduces rules and obligations concerning both IT architecture and Data Governance. These regulations apply to every sector—from logistics and finance, through retail, to energy.
Want to reap the benefits of AI and digital transformation? Lay the foundations first
Before organizations begin building and implementing innovative solutions based on AI and machine learning, they must thoroughly analyze their data infrastructure. Experts agree: If your foundation is flawed, everything you build on it will silently fail.
Why is data quality crucial for business growth?
- Poor-quality data leads to erroneous analyses and conclusions, and consequently to poor and costly business decisions.
- Inconsistent structures and a lack of trust in the data make it difficult, and often impossible, to effectively implement modern tools such as advanced reporting systems (e.g., PowerBI) and AI agents.
- Only structured and cleaned data allows for the quick and effective implementation of future digital initiatives.
Why is a Data Health Assessment the best thing you can do for your business?
In light of the Data Act regulations, demanding AI projects, and budgeting for 2026, a key tool supporting decision-makers is the Data Health Assessment – a study that serves as a strategic starting point for structured change, rather than just a one-time report.
Key benefits of Data Health Assessment
- Organizational readiness assessment: the analysis clearly shows the extent to which current processes, systems, and policies meet market needs and where the biggest gaps lie.
- Priorities for action: the results of the analysis allow us to quickly identify areas requiring immediate intervention and those that can be planned for the longer term.
- Informed investment decisions: you will learn whether it is worth migrating data to the cloud, implementing new analytical tools, or modernizing existing infrastructure.
- Improving data quality and accessibility: the analysis reveals problems with data completeness, consistency, and timeliness, as well as gaps in access and interoperability issues.
- Data roadmap and catalog: these documents are key to the Data Act because they clearly define what data you have, where it is located, and how it can be used.
Data potential analysis also includes:
- minimization of technological debt and ineffective implementations,
- solid foundations for migration, AI implementation, and reporting,
- safer investments in digital transformation,
- higher quality of service and greater customer satisfaction.
How does the Data Health Assessment work in specific industries?
Brittenet experts cited the example of conducting a Data Health Assessment for a client in the logistics industry.
The assessment revealed, among other things, inconsistencies in data sources and overly complex reporting models. Thanks to the recommendations received during the evaluation, the data warehouse was simplified and reporting became faster and more stable.
The client received a set of clear instructions – several action plans, ranging from basic to more complex, each containing estimates, a schedule, priorities, and technological proposals. As a course of action, we proposed reorganizing the data warehouse structure, optimizing ETL (Extract, Transform, Load) processes, and creating a realistic roadmap for migration to the cloud.
The implementation of the recommendations marked the beginning of cooperation and laid the foundation for further action, including initiatives such as process centralization and the development of a dedicated customer portal.
Conclusion
The Data Act regulations constitute a significant legal obligation that affects many aspects of companies across Europe. However, it is also an excellent impetus for strategic data organization and strengthening the organization against future technological challenges. Companies that are already taking action in this area will gain a competitive advantage based on reliable data and conscious use of AI potential. Conducting a Data Health Assessment is the first crucial step towards building a modern, compliant business that is ready for digital transformation.
