Category Archive: Analytics

Is data governance the secret ingredient to data quality?

Artificial Intelligence (AI), Blockchain, the Internet of Things (IoT), Security and Automation are just some of the tech trends that have been raised for 2019. And what’s the one thing they all have in common? Data of course!

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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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Smart, AI and Data walk into the room…what happens next?

I must say, as I continue to see the world abuzz by AI, the more I am not only drawn to the topic but also tend to come across various views and opinions around businesses not yet truly benefitting from AI – and with that – the industry perception around the AI ‘pipe dream’.

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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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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 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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