Storytelling definition12/3/2023 ![]() Historically, cultures and societies have told stories from cave paintings to novels to movies stories have been the primal form for the transmission of meaningful information. Does your CEO want to receive an email data story once a month but your customers want to receive daily WhatsApp alerts direct to their smartphone? Why is data storytelling powerful? Imagine if you could automatically create these stories using technology so you could communicate with your key stakeholders when and how they want. From leveraging multiple teams, skill sets and budget, these data stories are hard to achieve at scale. The common themes between the three examples are:ī) You have driven the equivalent of two journeys around the earth, that is X amount of milesĪlthough these three examples are powerful in their own right, the resources it took to deliver these campaigns were enormous. The common themes between the three examples are: Accurate data, Narrative and relevant visuals. The visual component enables us to spot trends and patterns in datasets, which are not easily seen in the rows and columns of spreadsheets. The data component is simple, we must have the accurate data, to reach correct insights. What makes up a good data story?Ī good data story leverages three major components: A narrative is a key vehicle to convey insights, with visualisations and data being important proof points. Narrative uses language in a format that suits our particular needs, augmenting our full comprehension of new information. Narrative: The third and, somewhat, most vital part of a data story is the narrative. They provided at-a-glance snapshots of data, lacking the context needed to explain why something has happened. Transforming data into graphs, pie, and line charts meant we could see our data like never before, however, alone data visualisations have limitations. Visualisations: The emergence of technology solutions such as dashboards became a natural solution in aiding us to comprehend our vast amounts of data collected. The technologies we take for granted are all driven by this field of expertise, but there is one thing that data scientists are not naturally skilled in:ĭata scientists are often skilled at, collecting and delivering data, but lack the skills to relay a true understanding of the opportunities hidden in the data delivered. ![]() This exciting field has made significant changes to our daily lives in the past couple of decades. Now, with the so much data available to us, only data storytelling can put a human perspective on the increasingly complex and rapidly changing world of the digital era.ĭata storytelling merges three key fields of expertise:ĭata science: This field of expertise is the interdisciplinary field of sciences, which extracts knowledge and insight from data, making it readily available. Theorists even suggest that storytelling was the primary launchpad for the transmission of knowledge across large groups of people, which formed cultures as we know them today and allowed evolutionary success across generations. It is the last ten feet of your data analysis and arguably the most important aspect.Įvolutionarily, as Humans, we are naturally hard-wired to share stories as a means of sharing information. Why is data storytelling the future?ĭata storytelling is a methodology for communicating information, tailored to a specific audience, with a compelling narrative. ![]() The answer is simple: adopt a data storytelling culture in your company. So how can enterprises transform their data centre into a profit centre, where all stakeholders benefit from having access to relevant data, shared in a language and format that suits them? ![]() Put simply, data in dashboards and spreadsheets only tell you what is happening. Most marketing, sales, operations and analytics teams lack the resources and time to respond to all requests for reporting from every level of a company, including external stakeholders such as customers. Current tools make scaling information requests impossible.They lack the vital component of narrative for effectively communicating information and insights. These tools only present data as numbers and charts.The need for human intervention slows data analytics and communications within organisations. Data wrangling and manual reporting is still prevalent.BI tools, dashboards and spreadsheets have a number of limitations:
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