6 Ways AI is transforming Data Visualisation 
artificial intelligence applied to data visualisation


AI is quickly changing the field of data visualisation. In this article we cover some of the ways you can take advantage of it for your business.

read time:

5 mins

We all know by now that AI has taken the world by storm and the world of Data Visualisation is no exception. AI algorithms are now being deployed to data sets to help business analyse and gather instant feedback from the vast amounts of data at their fingertips. 

Time Saving (Instant and Automatic Insight Generation)

Analysing large amounts of data has always been a struggle until now. With AI-powered algorithms and the correct software setup in platforms like Looker Studio, Google Big Query, Power BI and more you can ask questions about your data set and AI algorithms will interpret them and provide feedback within seconds. 

Recommendations (Advanced Data Exploration)

The benefits of AI don’t stop at asking question on user Datta, it will provide recommendations and suggestions for you too. Questions like “what suggestions based on last years e-commerce data for sales would you suggest to help me maximise my revenue in November?” is now followed with reasonable answers to help businesses grow.

Personalisation (Personalised Reporting)

People have different preferences and favourite ways of viewing their data. With AI you can customise data reporting based on individual user preferences and needs. By analysing user behaviour and historical data, AI systems can deliver personalised insights to both businesses and customers by tailoring data-drive recommendations to specific users or user groups.

Continuous Improvement

The nature AI systems means that they continuously learn and improve over time by analysing feedback, monitoring performance, and adapting to changing data patterns and user needs. This iterative process ensures that data reporting capabilities evolve and remain ever relevant to their respective businesses. 

Fault Finding (Anomaly Detection)

Finding outliers and anomaly’s in very large data sets is now easier than ever. AI-powered anomaly detection algorithms can automatically identify unusual or unexpected patterns in dat This capability has benefits across fraud detection, security breaches, or operational issues early on, minimising, or even mitigating potential risks.