HR Analytics

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“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 that their people are actually their biggest asset. How do we get the CIO and/or the CDO on board?

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Big Data – Round 2

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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 last, and were watching its development and adoption with cautious suspicion. However, come today, many top level executives are realising that big data may already have become critical to their business growth.

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Health Data Analytics 2016

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Health Data Analytics 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 context. I’m sure a clinician or an allied health worker, for example, may have totally different impressions and take-aways.

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IoT and Analytics

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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 on or analyse in-depth. In terms of BI and analytical insights, the IoT has become a game changer.

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IoT necessitates new Information Strategies

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It’s been very interesting to watch how some organisations have managed to demonstrate the value of information – while others are still struggling to organise their strategies in order to try and reap the rewards that data can offer. In this post I explore why an information strategy is necessary, especially in an organisation that wants to harvest large amounts of data from the IoT.

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Evolving into a Data-Centric Healthcare Organisation

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In a previous post I reasoned why healthcare organisations should become more data centric. In this post I suggest a fluid and adaptable approach to mature the organisation with respect to data-centricity, in the process motivating why I would not utilise an approach recently suggested by IBM. In this post I focus my attention on tertiary / research hospitals, as representative healthcare organisations.

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Will the Predictions about Advanced Analytics come true?

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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 we investigate two of Gartner’s recent predictions about data and analytics.

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Hospitals should be more Data-Centric

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As we know, a huge amount of data is generated across most industries and data has become a very useful resource in most organisations. In fact, access to high quality data and insight has become fundamental to achieving many of the strategic goals of any business. So, following on from my past series on data-centricity, I wanted to revisit this topic and examine data-centricity in healthcare – specifically, in hospitals.

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Seven Tips to Improve Data Storytelling

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Data analysis and exploration can answer many of the questions that decision makers have, and even generate questions that some businesses have not yet even figured out. Of course it also sparks curiosity around the value that data brings. Data has purpose and meaning – but not all organisations understand this – which is what makes data science so necessary. Data scientists have become the narrators of the stories the data is trying to tell to the business. In this piece, I want to focus on seven ways to improve data storytelling.

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The Elastic Data Warehouse

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Some days I get really flexed out of shape about the rate at which new terms become spontaneously combusted in the BI and analytics industry. The latest I came across is the term “elastic data warehouse.” So what are we doing here – bending the rules, stretching the imagination or flexing our muscles here? Now this term hasn’t even been entered on the free encyclopedia that anyone can edit yet, and it already appears on two vendors’ websites… So what exactly is an elastic data warehouse?

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