Michel Foucault once argued that the only viable yardstick for measuring technology was whether or not it contributed to human potential. The near future of Health Analytics may provide substantive proof of this vision. By 2020, roughly 25,000 petabytes of patient data will be available to the industry.[i] KPMG’s recent survey of healthcare professionals reveals that fifty-six percent of the participants surveyed believe that this data will largely contribute to our practice of business intelligence, while 35 percent cite lowering healthcare costs, and 32 percent suggest improved health outcomes.[ii] As healthcare organizations invest heavily in technology and analytics to take advantage of these opportunities, what are the opportunities for aspiring data scientists?Read more
Looking for your next career step?
Good Morning Group! For anyone interested in Data Science jobs , Our selection of roles based in Europe open for application can be found on LinkedIn Group Page here. The posts are in English and French. There is a couple of freelance and contract opportunities. The jobs are posted on the Jobs Tab. We will try and bring you these every week as we find them. Please share these with anyone that you know would be interested.
How can data spur innovation?
If management is about reducing risk, uncertainty and ambiguity; data science is about transforming data into collective action. This year’s Queen’s International Innovation Challenge provides postgraduate students an opportunity to use their analytical skills and creativity to address Food Security — a universal, perpetual challenge that just won’t go away. The competition is open to all students registered in a degree or certificate postgraduate program during the during the the current academic year. What is the relationship between data science and innovation, why engage in such a challenge, why « food security », and what will be the payback for your effort?Read more
Banking on the Facts - what is expert advice worth?
When moving on to my next assignment a few years ago I received the visit of three of my new colleagues. I was quite surprised to hear the first confess that “the first thing you have to learn here is that everyone lies about everything”. The second visitor wasn’t any more inspiring in vouching that she alone told the truth. The third visitor — as they say in French “jamais deux sans trois” — tried to “reassure” me that previous two would be struck by lightning if they ever spoke honestly. In a Smullyanian world in which people are either eternally truthful or disingenuous, which of my three visitors was to be believed?[i]Read more
Measure the quality of your decisions....
and not just your data
Data will always take a back seat in the drive towards better decision-making. As companies spend increasing amounts of time and effort in capturing organizational and market data, the return on these investments will continue to depend on our ability to transform the data into impactful decisions. Data alone doesn’t produce good decisions for decision-making is constantly handicapped by uncertainty, ambiguity, and complexity. Measuring the quality of our decision-making may well prove more important than improving the quality of our data. Let’s look both at why measuring decision-making is so difficult, and why it is so potentially rewarding.Read more