storytelling data analytics is the process of unearthing insights from large data sets to enhance products, streamline corporate processes and gain a competitive edge in the market. It involves using a wide range of specialized tools and technology to uncover patterns, relationships and trends that would otherwise remain hidden from the naked eye.
Whether it is a company’s customer data, sales data, performance metrics or any other source of information, data analytics helps to discover the patterns that can be used to optimize business operations and make decisions. However, it is not enough to simply find these insights and present them – it is equally important to weave a narrative around them to increase their memorability, persuasiveness and engagement.
Mastering Data Visualization: A Storyteller’s Guide to Analytics
Storytelling data analytics is the art of framing and presenting data analysis in a way that resonates with and engages the end-user, regardless of their level of data literacy. The goal is to communicate the story of the data to allow decision-makers to understand the numbers and what they mean to them in terms of a business challenge or opportunity.
It is vital that data scientists understand who they will be communicating the data to and the level of technical complexity that they will require, as this will influence how they structure the analysis and narrative that they create. It is also important that they consider the key “aha” insights that are most relevant to their audience and focus on presenting these.