Innovation
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The way we do data science has changed forever. GenAI makes coding frictionless—but without structure it gets messy and invites slippage down rabbit holes. I’ve been refining CRISP-AI, a lightweight process (inspired by CRISP-DM) to work smarter with AI.
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Data teams are no longer just service providers—they’re becoming strategic partners in decision-making. But as business fluency rises on one side, a growing data literacy gap is emerging on the other. This shift is creating tension—and opportunity. This isn’t a flaw—it’s the future.
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I recently revisited Avinash Kaushik’s brilliant article, “Winning With Data: Say No to Insights, Yes to Out-of-Sights,” and felt inspired by his challenge to aim higher in our data-driven work. The concept of “Out-of-Sights”—insights that are Novel, Actionable, Credible, and Relative (N-A-C-R)—is not just an aspiration but a call to fundamentally reimagine how we approach…
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The Intelligence Value Gap in Decision Sciences marks the shift from traditional Business Intelligence to advanced methodologies. It highlights the need for predictive and prescriptive analytics to enhance decision-making, as relying solely on historical insights can be limiting. Organizations are increasingly utilizing these advanced analytics to transition from reactive to proactive decision-making. This transition requires…