Two Key Areas of EIM

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Following on from my previous blog on the topic of Enterprise Information Management, I now focus on two specific areas of EIM, namely data governance and data quality management, which should be key focus areas for businesses in 2017.

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Information Management in 2017

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They say that information is the oil of the 21st Century, and analytics the combustion engine. This infamous quote, by Peter Sondergaard, is often shared at industry events, to remind BI experts of the importance of enterprise wide information management.  While I completely agree with this sentiment, I still find that far too many organisations view data as too overwhelming and difficult to manage.

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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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