Saving Lives (and Sparing Wallets) with Big Data

Tuesday April 26th, 2016

I’ve been working a fair bit in the Healthcare space lately, which got me thinking about how Big Data and Advanced Analytics can be used to improve health outcomes and reduce spending. Before I moved into Data Science, a friend and former colleague of mine had already made the jump into bioinformatics working on cancer… Read More »

Trash Talking Smart Cities And The IoT

Wednesday April 20th, 2016

In my last blog, I wrote about how many of the things happening in today’s Smart Cities could more honestly be labeled as “progress.” Smart Parking, Smart Homes and the like are just the next steps on a journey that perhaps began by replacing the cry of “gardyloo”1 with city plumbing. I argued then that… Read More »

Who’s next? Predicting Deaths in Game of Thrones – Part 2: Event-based survival modeling

Wednesday April 20th, 2016

In part 1 we saw that network graphs provide invaluable information in terms of understanding story development, character importance, and “character death” prediction with limited external input. Stories are arguably more likely to be written according to a small set of rules rather than a strict adherence to graph theory. In this post, we use… Read More »

Who’s Next? Predicting Deaths in Game of Thrones* – Part 1: From books to social networks

Tuesday April 19th, 2016

<<Mandatory Spoiler Warning>> Information from the first 5 books is discussed, which corresponds to the first 5 TV seasons with some variations (the TV series is more advanced but omits a number of secondary characters for clarity and budgetary reasons). <<End of Warning>> Does fiction really have to make sense? This blog explores the application… Read More »

Me, Myself, I: How To Combat Identity Theft

Wednesday April 13th, 2016

Remember lip-synching to Pick of the Pops? “Just me, myself, I. Don’t want to be the bad guy”? Well tough beans, cowboy. When fate fingers your collar you might as well hold your hands up – even if you’ve got a cast-iron alibi. It saves time. To illustrate this, I’d like to tell you a… Read More »

What would you have done differently?

Tuesday April 12th, 2016

In a meeting last week we spoke about the wonderful experience of trying out a new analytical/data/application solution. Typically, all “advanced solutions” have agile, cloud, open source, fully integrated, etc. labels attached to them and both, resident business as well as tech gurus , get equally mesmerised by the topic. I believe, after having “successfully” implemented a new solution… Read More »

Getting “Financially Intelligent:” Three Questions CFOs Ask about Analytics

Wednesday April 6th, 2016

As evidenced by industry analysts’ studies, CIOs continue to put business intelligence and analytics at the top of their list of technology investment priorities. In a time where the CFO has to sign all those big checks, the office of finance clearly understands that leaders throughout their companies need the competitive advantage of technology that… Read More »

What does it mean to be data-driven?

Tuesday April 5th, 2016

As we all know, organisations are inundated with data, however more data does not necessarily lead to more insights, rather it provides more opportunities to gain more insight and better insight. Data-driven organisations put data at the centre and use insights derived from data to drive their strategy and decision making. They treat data as… Read More »