In the age of big data, it’s not enough to simply collect and analyse data – you need to be able to effectively communicate your findings as well.
That’s where data storytelling comes in.
Data storytelling is a concept that you define in a simple way of complex data analytics aiming and informing a target audience. This practice has gained popularity in recent years as a means of engaging and informing audiences through interactive graphics and narratives.
Data Storytelling in Local Government Authority has been particularly effective in presenting complex data to its residents, helping residents understand important information and improving transparency between government functions and the public. To effectively communicate data insights, data storytelling techniques help to create a compelling and easy-to-understand narrative supported by engaging data visualisations.
Data Storytelling is a natural form of passing information, as it engages with the audience and stimulates their attention through emotions. This approach is particularly effective in conveying information that would otherwise be difficult to understand through raw statistics or technical reports. It is a crucial skill for any data professional or organisation that wants to effectively communicate insights and facilitate better decision-making based on their findings.
How to process information in 6 steps?
Ensuring setting clear objectives is the first step in the data storytelling process. Next, what and how data must be collected and analysed using appropriate tools. Once the data is analysed, it’s time to identify key insights and develop a clear and compelling narrative that supports those points.
6 common mistakes to avoid?
There are several common mistakes to avoid when implementing data storytelling practices, including:
- Picking up a wrong chart, for i.e., 3D charts look great but not easy to read or interpret.
- Incorrect use of colour correlation, for i.e., using low contrast colours or colours that are too similar, can make it difficult for viewers to distinguish between data points, categories, or trends.
- Missing out supporting guidance, labels, or tips alongside visual segments
- Too many data visuals in a small dashboard space.
- Ignoring accessibility standards when selecting colours or font sizes in data storytelling can have a detrimental impact on the inclusivity and usability of the visualisations. For i.e., Ignoring colour contrast guidelines can make it difficult for individuals with low vision or colour blindness to interpret the information.
- Not aware on audience needs and their expectations.
Few Good and Bad Examples
Further takeaway points for you
- Gov.UK Accessibility Guidelines: https://www.gov.uk/guidance/accessibility-requirements-for-public-sector-websites-and-apps
- WCAG 2.0 Compliance Checker: https://www.siteimprove.com/glossary/wcag-compliance-checker/
- Top Books to Read About Data Storytelling: https://www.datacamp.com/blog/top-10-data-visualization-books
- W3C Accessibility Standards: https://www.w3.org/WAI/standards-guidelines/