DATA MANAGEMENT: CHALLENGES AND SOLUTIONS

What are the biggest challenges and best practices for developing and improving data management strategies? On March 5, experts shared practical experiences and theoretical insights during a knowledge event at Visser & Van Baars. 

KNOWLEDGE SHARING AND NETWORKING

The evening revolved around interactive presentations. Data Coase discussed successful data strategies, while Vattenfall shared real-world experiences with data management. 

Attendees had different motivations for joining. One participant took a pragmatic approach: “We are exploring a large data project and want to learn from others’ experiences.” Another saw it as a networking opportunity: “It’s great to reconnect with familiar faces.” 

WHY DO SO MANY AI PROJECTS FAIL?

The first presentation kicked off with a sharp question: “Why do so many AI and data projects fail?” Barbara Peruskovic and Linda Stege from Data Coase pointed to ‘marginal thinking’ as a common pitfall. 

Even companies with mature data strategies can underestimate innovation. As a result, they miss out on the full potential of new technology. A classic example of marginal thinking is replacing people with AI. The real value of AI emerges when it complements human expertise rather than replacing it. 

WHAT EXACTLY IS DATA GOVERNANCE?

Data management bridges business and IT, often sparking debates. One key question during the session was: “What is data governance?” The audience provided multiple valid answers, and the discussion continued well into the break. 

Someone raised an insightful point: “Are business and data strategies separate, or should they be integrated?” Barbara’s response was clear: “If you don’t have a solid business strategy, a data strategy won’t save you.”

STEP-BY-STEP SUCCESS

STEP-BY-STEP SUCCESS

Rens Weijers and Niels Solinger shared Vattenfall’s practical experiences with data management. “If you expect to implement data management within a few months, you’ll end up frustrated,” Rens warned. “It takes time and progresses in small steps.” 

Key success factors include clear data ownership and organisational involvement. Niels emphasised: “If you don’t engage the business, they won’t see the importance of data. It will remain an IT-driven initiative.” 

WHO TAKES RESPONSIBILITY?

A case study on integrating data from multiple sources sparked a debate about accountability. “Who is responsible for errors in a financial report—the data owner or the person presenting the report?” 

The discussion highlighted the complexity of data management. Data flows across departments, business units, and even organisations. There is no simple answer—data management involves not just technology but also corporate politics. 

ENGAGING DISCUSSIONS OVER DRINKS

During the closing reception, conversations about data management continued, but there was also time for informal networking. One attendee summed it up perfectly: “I always want to meet peers, but never find the time. Evening events like this are idealjust a few hours, and you gain valuable insights.” 

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