Category Archive: Data science

Data science = Data analysis "plus"

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 …

Continue reading »

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 …

Continue reading »

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 …

Continue reading »

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?

Continue reading »

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 …

Continue reading »

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 …

Continue reading »

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 …

Continue reading »

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.

Continue reading »

Communication in Data Science

Data science and the outcomes it delivers can be complex and hard to explain. Presenting your approaches and findings to a non-technical audience, such as the marketing team or the C-Suite, is a crucial part of being a data scientist. You need to have the ability to interpret data, tell the stories contained therein, and …

Continue reading »

8 Aspects to Avoid in Visualisation

In my previous piece, I touched on the rise of data visualisation, and how it should be positioned in the organisation to achieve real insight from their data. In this piece I cover 8 aspects that should be avoided, in order to ensure that only clear and correct messages are conveyed to the business. Failing …

Continue reading »

Older posts «