Category Archive: CDO

Data should be in the driver seat – here’s how

While talk around digital transformation has been ‘hot on the heels’ for some time now, I often find myself wondering how much of this talk within business is centred around data, and not just technology. Data transformation goes hand in hand with the move to digital and while by default data will become a key …

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Securing an executive chair for the CDO

My previous blog post clearly established that the Chief Data Officer (CDO) should be sitting at the leadership table of any business wanting to truly capitalise on their data assets. But getting this right is no easy task and you are likely wondering how CIOs can make a case for the CDO role – especially …

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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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Is there a right or wrong time to hire a CDO?

Having used my past two blog articles to address what a Chief Data Officer (CDO) should be and the value a CDO should offer an organisation, you may now very well be wondering if it is worth your while to hire a CDO.

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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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What a Chief Data Officer should be – part I

In an age where the role of a Chief Data Officer (CDO) and Chief Information Officer (CIO) are used interchangeably, it is easy to get them confused. In my personal experience in the Business Intelligence (BI) space, I have learnt to ‘accept’ the confusion. Though, I say ‘accept’ here lightly, because the hype and confusion …

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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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