Category Archive: Data science

Data science = Data analysis "plus"

Unpacking the top data trends for 2023

As the year rushes to an end, it is interesting to see what the analysts are indicating as the top expected trends for next year. With that in mind, I recently took a deeper look into two independent trends focused papers I came across – ‘The Top 5 Data Science And Analytics Trends In 2023’ …

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Soft skills key differentiator of good data analytics professionals

The technical skills required to be a data analytics professional form the cornerstone of training approaches. If these individuals are not proficient in things like data wrangling, analytical approaches, modelling techniques, data exploration, or data visualisation, then they will likely not qualify. But that is just one part of what the job requires. I believe …

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Can an organisation be data-centric without a CDO?

Regular readers of my blog will no doubt know that due to my immersion in the data-information-insights spectrum, I’ve been very interested in data centricity and the role of the Chief Data Officer (CDO) for some time. On reading a recent industry piece about the role of the CDO, a question that came to my …

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Finding balance between data science and data engineering

Previously, I wrote about the two-tiered data lakehouse with an analytical sandbox and a curated data warehouse in the second layer – the one for productised BI and the other for data science work. I was therefore intrigued when coming across a Forbes article titled ‘Three Keys to a Harmonious Relationship between Data Science and …

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Telling powerful stories with data visualisation

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 …

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Demonstrating value as a Chief Data Officer

The year has started with the proverbial bang. But even though the pace has been furious, there are many constants in which we can find comfort. One of these is how critical data is to every organisation regardless of industry vertical.

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Unpacking Gartner’s latest tech trends

It is that time of year again when I like to #trendspot for the forthcoming year. And I’m always interested to read what Gartner predicts, so it was with great interest that I read their article titled Gartner Identifies the Top Strategic Technology Trends for 2022. My initial thought was, “Wow, that is a lot …

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Making data FAIR

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).

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Debunking data analysis myths – Part 2

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 …

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Debunking data analytics myths – Part 1

Experts in the data space know the importance of data and its analysis to help drive business growth and competitive advantage. Of course, data analytics is not something that can just be switched on and happen overnight. It does come with challenges, and overcoming those challenges are instrumental to a project’s success.

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