This article appeared yesterday which is associated with the ADMA education series, which includes Data Science and Data Visualisation. It's target audience is the membership of the ADMA.
Why Visualisation Makes The Story More Compelling
Some interesting quotes are:
- But with all this information about customers and markets pouring into the company like water from a fire hose, there is more noise than ever to obfuscate the signals that actually matter. That’s why visualisation and the tools around it have become so important. Once the preserve of data analysts and hard core data scientists, software is pushing visualisation capabilities out into the hands of business users, allowing them to at least start the discovery journey themselves before eventually handing off for more technical analysts when the job gets too complex.
- Visualisation helps data practitioners translate the complex code, data structures and rules they work with into something that business leaders can see and evaluate – a tangible output that they can then use to drive business decisions.
- Due to increasing information sources, cognitive and analytics is then needed to understand all of the data. It allows analysts to make correlations and action points for the end user in a much quicker fashion, pairing unstructured and structured data in a meaningful way,
- In terms of visualisation as a discipline this trend is rapidly changing expectations and demands. It is enabling an enormous number of non-specialists to do very effective visualisation, while at same time highlighting that many visualisations are more buzz than insight.
What are your thoughts about the purpose and future role of data visualisation, and what could be added to improve the article, considering the intended audience? Links?
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Related link: How To Use Visualisation To Tell The Story In Data