Digital coworkers are no longer hypothetical. AI-driven agents—agentics—are creeping into every function, every decision process, and every interaction within organizations. In some ways, they are the executive dream—they don’t need coffee breaks, demand raises, or call in sick. And yet, they’re reshaping work in ways few leaders are prepared to handle.
Read MoreChange Management in Data Projects: Why We Ignored It and Why We Can't Afford to Anymore
For decades, we've heard the same refrain: “Change management is crucial for project success.” Yet leaders have nodded politely and ignored this advice, particularly in data and technology initiatives. The result? According to McKinsey, a staggering 70% of change programs fail to achieve their goals. So why do we keep making the same mistake, and more importantly, why should we care now?
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Back to Basics: The Benefits of Data Projects
Data teams should be regarded as intentional business partners because they provide the underlying technology that enables business strategy and maintains data as a corporate asset. They can help educate business partners on the upstream and downstream impacts of poor data quality, and they can help cultivate more effective ambassadors for data governance across the organization.
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Data consumers must be mechanics and pilots: 5 takeaways from the guide
With tell-me features and AI Tools, we forget the importance of and lose ambidexterity skills like managing details and thinking strategically. Additionally, the emphasis used to be on being able to talk to the box and not the people; now, we must reason with the box (and the people). Skills cultivating engaged stakeholders and executive sponsors weren’t emphasized as much but are now increasingly important. Those are radically different skills!
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