Good thoughts, cant say we ever did this completely, would have been especially useful with the metadata, which tends to me less well understood. In some cases when reviewing data needs with decision makers even the need and existence of particular metadata was a useful revelation.
Data doesn’t speak for itself: Why data storytelling is important by 7wData August 7, 2021
Almost all data is a recording of past events - what has happened before. People have to explore and analyze it to find historical truth, in the hopes it can reveal trends, inform the next direction to take, and act as a guide for the actions necessary to improve the future.
For analysts in an organization who can read data presented as is - on dashboards, reports, charts - this traditional analytical process may be enough to make sense. But not everyone can consume or understand data shown upfront, or extract value from it.
Helping everyone understand what’s happening and getting them invested in taking action to get toward your ideal state, then, can only occur when you use the right skills and right analytics tools to not only communicate the data well, but make it memorable.
This need is why data storytelling is so important right now - especially because telling stories with data will be the most widespread way of consuming our analytics by 2025.
In this blog, we want to focus on the many reasons data storytelling is as important as any other modern analytics initiative in helping your users make decisions today.
Firstly, to make data more useful for decision-making for people who aren’t experts, it must be given a clear and compelling voice. Problems and opportunities (the what) may just be numbers on a dashboard at this point; possibly interesting, but not clear for everyone on what to do next.
Combining narrative with data is a great way for organizations to better explain the ‘why’ behind the results, and tell an engaging story of how an insight was discovered or conclusion was drawn, so everyone can connect with and understand why it’s important:
These complex questions aren't so easily conveyed in dashboards or charts alone. The answers require nuance, interpretation and sometimes arguments, for people to ‘get’ it. ... '
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