Bjorn Cordia

Where and When Are Data Governance and Data Management Needed?

Your organization wants to take data-driven working seriously, but the question is: where do you start? Everything seems important—every system holds data, every process demands control. You consider launching a broad program, but get stuck in complexity and slow-moving structures. Meanwhile, risks persist and opportunities are missed. Does this sound familiar? You’re not alone.

From Ambition to Practice: Why Data Governance and Data Management Make the Difference

You want to respond more quickly and effectively to societal challenges, but you receive reports whose reliability you cannot verify. Your organization collects large amounts of data, yet definitions vary, ownership is unclear, and innovations stall in fragmented information. There is an abundance of data – but what’s missing is oversight, control, and trust.

Grip and Value: Balancing Defensive and Offensive Data Management

Your organization has more and more data available, yet it remains a constant struggle to use this data strategically while also complying with regulations. One team focuses on innovation and dashboards, while another worries about GDPR compliance, data quality, and audit trails. The reality is that without balance between control and utilization, the promise of data-driven work remains largely theoretical.

Case study Government Policy Organization: Balancing Accountability and Transparency

A policy organisation within the Dutch central government faced the challenge of collecting, processing, and making large volumes of digital communication—such as chat messages, documents, and emails—available in a structured and careful manner. The urgency stemmed from increasing pressure due to accountability legislation, such as the Open Government Act (Woo) and the Archives Act.