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Category Archive: Data science

Data science = Data analysis "plus"

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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The rise of the Chief Analytics Officer

Data is all around us. Whether kept on-premise or hosted across a multi-cloud environment, data and its analysis have become some of the most critical business deliverables today. However, given the rapid digitalisation efforts many organisations have embarked on over the past 12 months, Chief Information Officers (CIOs) have been focused on ensuring a distributed …

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Leveraging data for competitive advantage

Today, the concept of having a data ecosystem in place to improve personalised customer engagements and support customer retention should not be a foreign one. And yet, many companies still struggle to understand how to practically do so. With data providing significant benefits to create such a business advantage, it has become critical to understand …

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Transforming into a data-driven business

Data has become a vital piece of the strategic puzzle for every organisation. It enables a company to extract insights and monetise its data to deliver a differentiated customer engagement experience. And yet, according to this recent industry article I came across citing Gartner research, this is only a relatively new realisation.

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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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