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Data Science & Analytics vocabulary · Reporting to Stakeholders

Actionable

Meaning in data science & analytics, with examples

/ˈækʃənəbəl/adjectiveCommon term

In data science & analytics, actionable means: Describes information or findings that are clear and specific enough for someone to act on, for example by changing a process, a product or a budget.

In Turkish: uygulanabilir, eyleme dönüştürülebilir, aksiyon alınabilir

How it is used

Mostly heard in 'actionable insights' and 'actionable recommendations'. Managers often ask for analysis that is actionable, not just interesting. The word is overused in corporate language, so a concrete example helps.

Example sentences

  1. The analysis is interesting, but what's the actionable part for the sales team?

  2. We turned the survey results into five actionable recommendations.

Common collocations

  • actionable insights
  • actionable recommendations
  • make it actionable
  • clear and actionable
  • insightA useful finding from data that explains why something is happening or what could be done about it, going beyond simply describing the numbers.
  • key takeawayThe most important point or conclusion that the audience should remember from a presentation, report or meeting.
  • stakeholderAny person or team with an interest in a piece of work and its results, such as the managers, product owners or clients who will use an analysis.
  • data-drivenDescribes decisions, teams or organisations that rely on evidence from data rather than on opinion, habit or intuition alone.

More terms: Reporting to Stakeholders

Practise with graded reading

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