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Long-time readers of this blog know I’m a big advocate for using data visualisations to better narrate the ‘stories’ that are hiding inside organisational data. My interest was therefore sufficiently piqued when I came across this article on the Bulletin Expert Contributor Network. And while it doesn’t make any wild discoveries, I enjoy the way …
Last month, I examined the importance of improving data literacy and briefly discussed five strategies organisations can employ to help achieve this. For my October piece, I want to build on these concepts and turn my attention to what makes data FAIR (findable, accessible, interoperable, reusable).
There are many myths surrounding data analysis, especially when it comes to identifying the best ways to drive business growth and competitive advantage. Last month, I mentioned this Forbes article that examines 14 myths in this regard, with my discussion turning to six of them. In my blog article this month, I will examine the …
In last month’s blog, I discussed the concept of data storytelling and provided some tips to improve visualisation. This is essential in building a meaningful narrative for unlocking the value inherent to the data a company has at its disposal. Building on from this, the visualisation journey is a continuously evolving one influenced by new …
The old adage of “a picture is worth a thousand words” could not be more apt, or more evident, than when it comes to data visualisation. And with research proving that the human brain can process images that the eye sees for as little as 13 milliseconds, data storytellers are playing an increasingly critical role …
In the world of BI, it is not rare to hear a professional say ‘I want to become a data scientist’ due to the nature of this field being so new and exciting. As an interdisciplinary profession, which requires a candidate to create value out of data, and create it in a way that businesses …
If you had told me a decade ago that big data was going to get bigger, I may not have believed you – given that most IT terms are often surrounded by so much hype, and given that growing data types and volumes is, in fact, nothing new. Many people thought this ‘fad’ would not …
Data analysis and exploration can answer many of the questions that decision makers have, and even generate questions that some businesses have not yet even figured out. Of course it also sparks curiosity around the value that data brings. Data has purpose and meaning – but not all organisations understand this – which is what …
Data visualisation has become one of the most popular technologies today. Not only does it provide an organisation with the ability to visually present and analyse its information, but more importantly, it gives the organisation a new way of seeing and interacting with its data.
Data science and the outcomes it delivers can be complex and hard to explain. Presenting your approaches and findings to a non-technical audience, such as the marketing team or the C-Suite, is a crucial part of being a data scientist. You need to have the ability to interpret data, tell the stories contained therein, and …
