Category Archive: Data science

Data science = Data analysis "plus"

Understanding the analytical trends to watch for in 2021

This is usually the time of year we reflect on what was and think about what is to come. I think we can all agree that 2020 has been quite the experience with things like social distancing, lockdown, and the pandemic becoming part of popular discourse. As organisations embrace remote working and the associated digital …

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Data science is a team sport

The concept of teamwork is fundamental to the success of any organisation. Sport fanatics understand all too well how this can help shape the success (or failure) of their favourite sporting teams. But when it comes to data science, many still think it is a solitary pursuit with people working in isolation from the rest …

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Understanding the megatrends impacting on AI

Given the rapid push towards the digitalisation of business in 2020, Artificial Intelligence (AI) has gained attention and as a critical enabler in this regard. In April this year, while delivering on the company’s quarterly earnings report, Microsoft CEO Satya Nadella said that “we’ve seen two years’ worth of digital transformation in two months.” It …

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Spot the difference – data scientist vs data analyst

Revenues in the global big data market are expected to more than double from 2018 figures and reach $103 billion by 2027. Given figures like this, it certainly emphasises the need for organisations to ensure they have the right skills in place to capitalise on this obvious growth opportunity. And a key element is to …

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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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