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, the Yellowfin Team want to focus on seven reasons data storytelling is as important as any other modern analytics initiative in helping your users make decisions today.