Category Archive: Advanced analytics

Advanced analytics and data mining

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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HR Analytics

“I want HR analytics for my HR department!” In my experience of consulting to clients at various stages of analytics maturity, across different industries in different countries, I have noticed that on a strategic level very few organisations are really implementing HR BI, never mind HR analytics. These are typically the organisations that have realised …

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Big Data – Round 2

If you had told me a decade ago that big data was going to get bigger, I may not have believed you – given that most IT terms are often surrounded by so much hype, and given that growing data types and volumes is, in fact, nothing new. Many people thought this ‘fad’ would not …

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Health Data Analytics 2016

I had the privilege and pleasure to attend HISA’s Health Data Analytics conference in Brisbane on 11 and 12 October 2016. What follows is this particular BI and Analytics consultant’s impressions and insights from the conference in terms of the main themes covered and the messages and impressions I take away, again from my particular …

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IoT and Analytics

It is widely accepted that the Internet of Things (IoT) relates to the concept of ‘widely connected hardware’. Its impact is vast, because any physical object, which has a sensor attached to it, can be turned into a digital data generating machine – rapidly producing more data than most organisations have the capability to report …

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Will the Predictions about Advanced Analytics come true?

There is no denying the fact that businesses are continuously evolving to become more digital. And as part of this digital transformation, it has become very clear to many business owners and decision makers that data and analytics will play a key role in the success of a business across any industry. In this post …

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Overcoming analytical program hurdles

Over the last few years, we have noticed a sharp increase in the number of organisations that have shown an interest in implementing an analytics program with the hope and intention of gaining business benefit from it. However, as with everything ‘new’, there are always challenges that need to be overcome, before the real benefit …

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Health Services Analytics – Case Studies

In a previous blog I discussed the use of advanced analytical modelling to improve business processes and non-clinical patient outcomes in hospitals. In this post I shift the attention to case studies of advanced analytical modelling applied to the work done in Radiology and Pathology.

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Dimensional Models for Predictive Analytics

Even though it has been around for years, predictive analytics has seen a much stronger uptake over the past few years. For example, store owners are now trying to predict what products their customers will buy and which products should be taken off the shelf completely; marketers are interested in analysing customer sentiment; telcos need …

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