Below you’ll find a summary of my notes and colourful diagrams from reading, ‘Data Mining in the Real World: Experiences, Challenges, and Recommendations‘ (Weiss 2009). I like to take opportunities like this, to continue my personal practise of simplifying large chunks of information into easily digestible visuals for learning.
Take-away from all pre-reading: Remembering the “SO WHAT?”
All the data and data mining in the world isn’t worth much without a well defined problem.

Weiss, G. 2009. ‘Data Mining in the Real World: Experiences, Challenges, and Recommendations’, ResearchGate, Janaury, viewed 2 May 2016, <https://www.researchgate.net/profile/Gary_Weiss/publication/220704868_Data_Mining_in_the_Real_World_Experiences_Challenges_and_Recommendations/links/0c960524047cd122d5000000.pdf>.
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Erin
I’m the non-traditional stream ‘guy’ – call me an outlier or anomaly; my background is in project management, marketing and a whole lot of design. I bring creativity, logic, abstract thinking and a methodical and organised approach to project ideation, production and completion. I can also pretty shit up quite nicely. I’ve worked within architecture, ad agencies, music, festivals, events, and community projects. About a year ago, I decided to go back to school; starting with an intensive course in data analytics and some short courses in computer science, stats and R (most likely enough to be dangerous). I also enjoy baking and will exchange sweet goods for tutoring along the way. I’m hoping to tread water or at least stay afloat during my time in MDSI – I keep questioning whether I have a mild case of impostor syndrome; but then again, it’s just as easy to think BIG and fail; than it is to think small and fail – so I might as well be bold and try changing the world one data point at a time.
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