![]() If you are building analytics capability and are unsure of your next steps (or you’re not taking steps quickly enough), then we suggest you divide your analytical tasks up between your in-house team and your analytics partner. The answer they produce might not be 100% perfect, but it’s useful – and they are okay with that!įuture-focused vs. A data analyst, on the other hand, might get easily bored with reporting but loves the ambiguity of the situations that require solving new problems and coming up with creative solutions. We find that people who are good at reporting are most happy when things match up perfectly in the data, meaning when you put them in an uncertain situation that requires analytics, they’re not in their element. Importantly, these differences mean that the kinds of people who will love building and producing reports are not the same people who will love doing analytics. This could be because it’s a complicated problem, or because it’s a challenge that isn’t well-defined, or because it’s a situation that changes frequently so the answer you got yesterday is unlikely to help you today. Unlike reporting, analytics is about uncertainty - you use it when you don’t know exactly how to come to a good answer. Analyticsis about adding value or creating new data to help inform a decision, whether through an automated process or a manual analysis.Reporting is always defined and specified - it’s about getting reconciliation and making it accurate, because the business depends on the accuracy of those numbers to then make a decision. This often involves pulling data from different places, like in Google Analytics, or presenting the data in a new way. Reportingis about taking existing information and presenting it in a way that is user friendly and digestible. ![]() ![]() Here’s the difference between reporting and analytics. As useful as it is, it’s not actually an analytical tool - it’s a reporting tool. Google Analytics is one of the most commonly used applications in business today. To make better decisions, you need to be aligned on what people in the room mean when they say “analytics” – otherwise, your implementation plans will go astray. Reporting: What's the difference?Īnalytics can refer to a million things, ranging from a simple report to hardcore machine learning. ![]()
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