The invisible engine: How data quality powers Picnic’s AI-driven supply chain



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High-quality data are essential for success with artificial intelligence and the multitude of other tools for data-driven work. Unfortunately, many data collections do not meet the required standards or become contaminated over time. As a result, bad data has become the corpse in the closet that every organization is apprehensive about. Is this justified?

Engage with these specialists among others who can improve your data quality and management. 

Digital Power | Datapebbles | E-mergo | IntoDQ2 | GX Software | GX Software. 

Unlocking Business Value with Agentic AI Governance

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AI is no longer future music. It is a daily reality in the workplace. Yet more than half of Dutch organizations lack a clear AI strategy (Integron, 2025). While executives are still looking for frameworks, employees are taking the initiative. 

Engage with these specialists among others and add more value with your data. 

IMPROVEN | JoinSeven | Metriqzz | Mobilee | Nippur | Premium

From gut feeling to data-driven: How we transformed sales & marketing at TomTom
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We are inundated with data. Every interaction, every transaction leaves a digital trace. This abundance of information promises us a better understanding of the world, but the paradox is clear: more data does not automatically lead to better insights. The path forward lies not in quantity, but in the ability to distill meaning from the maze of information.

Engage with these specialists and others to take the next step in a data-driven organization.

Zoho | 9altitudes | TimeXtender | Systemation | Optimizely | Dataintegration.com