[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"exercise-55":3},{"payload":4,"id":7,"user":8,"level":14,"course":15,"activity":16,"activity_slug":17,"title":6,"topic":18,"tone":19,"stats":20,"created":23,"score":24,"is_favorite":25,"public":26,"is_external":25},{"text":5,"title":6},"In modern organisations, data is often treated (0) AS the ultimate source of truth. Yet the reality is more complicated: numbers rarely speak for themselves, and they can be misleading (1) .......... they are collected without a clear purpose.\n\nGood decision-making starts with asking the right question, rather (2) .......... searching for any dataset that happens to be available. Once the question is defined, analysts need to consider where the information comes (3) .........., how reliable it is, and what might be missing. A dashboard may look impressive, but it is only useful (4) .......... it helps people understand what is happening and why.\n\nEven in data-rich environments, judgement still matters. Leaders may be tempted to follow the metric that moves fastest, (5) .......... this can encourage short-term thinking. In addition, teams sometimes confuse correlation with causation, assuming that one change must have caused another, (6) .......... fact the relationship may be indirect.\n\nThe best organisations build a culture in which data is shared openly, assumptions are challenged, and decisions are reviewed after they are made. That way, data becomes not a weapon in internal debates, (7) .......... a tool for learning. Ultimately, the goal is not to have more data, but to be (8) .......... to use it wisely.","Data and Decisions",55,{"id":9,"username":10,"first_name":11,"last_name":12,"image":13},20392,"daniela-rodriguez-ruiz","Daniela","Rodriguez Ruiz","https://api.useofenglish.ai/static/img/users/default-profile-picture.jpg","C1","Reading","Open Cloze","open-cloze","Create an exercise about the role of data in decision-making","Standard",{"times_played":21,"num_favorites":22},3,0,"2026-02-25T22:21:10",null,false,true]