Category Archive: Data science

Data science = Data analysis "plus"

Let your data tell a meaningful story

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 …

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A new world – a new way of upskilling

As the world continues to transform digitally, there is also a growing concern around how to retain the skills needed for the workforce of the future. While some believe technology and robotics may be the answer to the current skills gap, the reality is that human expertise is still needed to program machines.

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Does prescriptive analytics deserve more attention?

Leveraging data to gain worthwhile insights is fast becoming a natural practice for businesses, as they contend to remain competitively viable in a market where the only constant seems to be change. Data is an asset and those not investing in it are likely to be missing out.

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At the core of successful AI lies quality data

Globally, the world is abuzz around Artificial Intelligence (AI). At the very core of AI lies data – and data of course is what really drives me.

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The value of the CDO

Chief Data Officer (or CDO) is a term that cropped up during the early 2000s, and two things became apparent to me. First was that many organisations found themselves caught in the ‘hype’ of having a CDO and second, that far too many organisations appointed a CDO without a clearly defined data analytics strategy.

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The data science strategy – part II

The eagerness of how data science can help businesses ‘achieve’ still seems be high on the agenda amongst business and IT leaders that are looking for ways to leverage their data. In fact, many are of the view that ‘if this process can help solve our business challenges and create new opportunities, let’s definitely hire …

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The data science strategy – part I

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 …

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Big Data – Round 2

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 …

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