Decoding the next decade - Visualising the near future of data

Here are our thoughts on how things might evolve.

Artificial Intelligence

AI will profoundly impact many industries. We believe that if leveraged ethically and responsibly, it has the potential to streamline some of the more labour-intensive aspects of data visualisation. If AI could be utilised to efficiently generate bespoke visualisations tailored to specific business needs, or individual user preferences - this allows more time for analysis of the data, and more time for deeper consideration of the insights.

Immersive visualisations

With Augmented Reality (AR) and Virtual Reality (VR), we see a potential to bring data visualisation into immersive 3D spaces, allowing users to navigate and explore data in multi-dimensional environments. This has great possibilities for accessibility of data, as well as profound implications in fields such as medicine, climate science, and urban planning.

Hyper-personalisation

As the world fills with more and more personalised data, we would like to see dashboards and data tools adapting to individual user behaviours in real time. This shift would turn static, one-size-fits-all dashboards into fluid, user-specific BI tools that are both powerful and easy to use.

Natural Language interfaces

Integrating natural language processing (NLP) into data visualisations would allow users to interact with data on a more human level. Instead of manually adjusting filters or constructing queries, users will be able to ask questions like "what's driving this quarter's revenue growth?" and receive intuitive visual representations of the answer. This will help to democratise data access, making it easier for a broader range of users to interact with complex datasets.

Ethical and transparent visualisation

As data becomes increasingly central to decision-making, the ethics of data and data visualisation should also be paramount. We imagine a future where specific transparency features allow users to track the origins, assumptions, and biases behind the data. Visualisations will need to evolve to ensure ethical representation, allowing users to understand the process of data collection, and ensuring that visual decisions (like scales or colour schemes) do not mislead or manipulate.

Collaborative and social visualisations

We want to see visualisations become more collaborative, allowing teams to interact with the same data set in real time. Visualisations should also become more social, with features allowing users to share insights, comments on specific data points, and integrate findings directly into their workflows.

Sustainability and minimalism in visualisation

At Soak, we already place a high value on sustainability and minimalism in data visualisation - and we predict that this will become the norm, with the industry embracing a change towards clarity, simplicity, and eco-efficiency. As the cognitive load of information increases, there will be a demand for visualisations that strip away unnecessary complexity, focusing on delivering the core message as succinctly as possible.

Data already has a profound impact on our businesses, organisations, and our everyday lives. As we move into the next decade, we hope that data will become more accessible and immersive, and you won't need to have a phD in mathematics to understand it.