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The decision discipline: How to turn insights into action

Here’s a test you can run on your own organisation. Think of the last genuinely important decision your team made. Now ask: did the data shape that decision, or did someone make the call and then reach for the data to justify it? If you’re honest, it’s usually the second one. And that tells you […] The post The decision discipline: How to turn insights into action appeared first on e27 .

The decision discipline: How to turn insights into action

This piece examines the disconnect between organizations that produce vast amounts of data and those that fail to effectively turn that data into actionable decisions. It argues that while data visualization, advanced analytics and reporting tools have become increasingly sophisticated, this has not translated into improved decision-making.

The author contends that many organizations have become "report-driven" rather than "data-driven", using data primarily to justify decisions rather than inform them. The key insight is that seeing data and deciding with data are two distinct processes, with the latter being far more challenging. The report-driven culture encourages building dashboards and reports without necessarily following through on the insights they generate.

Organisations often avoid making decisions, especially high-stakes ones, and instead rely on reports as a way to maintain a veneer of rigorous analysis while shirking accountability. The text suggests that this problem stems from incentives that reward the production of data over the use of data to inform decisions. It recommends reframing how organizations approach data: by starting analysis from the desired decision outcome rather than the data question itself.

This shift would force organizations to ask whether a given insight actually warrants a change in action, rather than simply what data can be produced. The author also advocates for explicit permission to act on strong-enough signals, distinguishing between reversible and irreversible decisions. Closing the loop by measuring the impact of decisions based on data would create a virtuous cycle of learning and improvement.

Ultimately, the author believes that decision-making proficiency will be a key differentiator for companies in the coming decade, rather than the sophistication of their data visualizations or reporting capabilities.

Written by urgent.news from e27's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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