Category Archive: Data science

Data science = Data analysis "plus"

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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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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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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Seven Tips to Improve Data Storytelling

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 …

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Hospital Analytics – are we getting there?

In the research literature we find thousands of papers documenting academic projects documenting analytical models for the hospital environment. But the big question we need to investigate is – how much of it is actually used operationally to make a real change to treatments and patient outcomes?

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Using an Analytics Platform for Hospital Research

Applying complex analytics on a very wide and rich dataset data is fundamental to deriving insights when researching new approaches to specialised care, optimising the effectiveness of clinical trials, reducing the lead time from research to clinical practice – all with the objective of improving quality and longevity of life. However, identifying, accessing, managing and …

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Empowering Employees to become Data-Centric

Building a data-centric organisation is becoming critical if you want to develop a strong competitive advantage. In this post I examine some insights into, what I consider, a key step, in actually ‘being’ data-centric. Given that any company is made up of more than just its executive team, it therefore makes sense that it should …

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Using a Modern Analytics Platform

The increased use of analytics, coupled with an exponential growth in the volume and complexity of data, has changed the business intelligence landscape forever. Business users’ sophistication has extended beyond descriptive reports and dashboards into data exploration, predictive modelling and aspects of cognitive computing. Traditional requirements-driven ETL, data warehouse and reporting approaches do not meet …

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Benefits of Data Visualisation

Data visualisation has become one of the most popular technologies today. Not only does it provide an organisation with the ability to visually present and analyse its information, but more importantly, it gives the organisation a new way of seeing and interacting with its data.

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