Data_VisualisationVisualisation in data is the way in which humans are able to understand complex analytics. Despite this it’s often overlooked and isn’t seen as a crucial step in the analytics process, but without it – understanding the increasing complexity of data would be even more difficult.

The key to actionable insights is data visualisation, allowing you to present your complex findings in an informative and engaging way to all stakeholders. Humans aren’t able to process more than two to three pieces of information in one go, and usually different aspects of consumer behaviour are influenced by more than this, which means having to utilize your visualisations in a way that will accurately predict key performance indicators.

Due to the amount of data that is available to businesses and consumers today, it can be overwhelming for granular, accurate and relevant data to be found, which makes the usage of visualisations even more important. A great example of visualised data is in the weather industry. As forecasts are needing to become more complex, being able to take a vast amount of data and visualise it in a way that audiences can understand quickly is necessary for success.

Weather shows us the way in which data is visualised impacts people’s lives in a big way, influencing their decisions for that day. The right graphics can help a viewer to ingest multiple pieces of complex information with ease.

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