It’s Time for a New Definition of Big Data
Two words seemingly on every technologist’s lips are “big data”. The Wikipedia definition for big data is: “In information technology,…
The Anachronism Machine: The Language of Downton Abbey
I've recently become hooked on the TV series Downton Abbey. I'm not usually one for costume dramas, but the mix…
Social Media Monitoring – Analyzing the Unexpected Results of Social Conversations
The impact of social media on our lives, and on our businesses has been remarkable. The full extent of how…
R and Hadoop: Step-by-step Tutorials
At the recent Big Data Workshop held by the Boston Predictive Analytics group, airline analyst and R user Jeffrey Breen gave a step-by-step…
On Text Analytics vs Machine Translation
I've made an interesting observation recently while talking to people about Thinkudo Enlighten. It regards the misunderstanding between Text Analytics…
Making Love with Data: Avinash Kaushik’s Strata 2012 Keynote
Just watch the presentation, which stole the show at Strata 2012. The written word cannot do justice to Avinash’s passion…
The 4 Biggest Problems with Big Data
People are buzzing about the promise of big data. That’s because
INSA Report: Cloud Computing: Risks, Benefits, and Mission Enhancement for the Intelligence Community
On 13 march 2012, the Intelligence and National Security Alliance (INSA) released a report culminating a years worth of interviews…
Moneyball, a Must-watch Movie for the Business Analytics Savvy
Every Business Analytics consultant should watch the movie Moneyball (2011). This movie is indeed one of the best movies I’ve…
The Perils of Analysts Demanding Perfection and Precision
I refer to myself as a “ready-fire-aim” kind of guy. Although this is an exaggeration, it makes the point that…
