Tag Archives: data science

Why is ‘data scientist’ a contentious title?

September 30, 2015

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The Organizational Brain

In my work and university lecturing, I speak with many senior leaders, experienced professionals, young professionals, and students, many interested in either hiring, transitioning into, or becoming a ‘data scientist’.  The title, however, is quite contentious. Why is this?  Essentially, there is a great deal of confusion related to this new field, and it will take some time […]

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The Janus Imperative: Bridging Business Silos via Analytics

December 17, 2014

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Analytics professionals should keep a persistent eye open for opportunities to create cross-functional insights from data. Insights can frequently be leveraged across multiple business domains. However, business silos can restrict ‘forest for the trees’ visibility. To the degree analytics has cross-functional exposure in the organization, for instance via a C-level champion and an Analytics Center […]

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Tell me… how ugly is your bad data?

August 14, 2014

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Ugly data

The adage ‘garbage-in-garbage-out’ is an analytics mantra so ingrained it has its own shorthand: GIGO. Yet, in the mad, blind rush toward all things ‘big data’, there is the danger of sidelining the crucial-but-dreary topic of data quality, to which GIGO refers. While data quality is not as ‘sexy’ as big data, anyone who wants […]

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Network analytics: more than pretty pictures

August 14, 2014

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Network analysis is a rapidly growing analytics domain propelled by the explosion of interest in social networking. The methods rest upon much older foundations in the realms of statistics and social science. Euler’s graph theory was proposed in the early 18th century and Moreno established the foundations for social network analysis (SNA) in the 1930’s. Want […]

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The Cutting Edge: Network Analytics for Financial Fraud Detection and Mitigation

June 27, 2014

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The application of network analysis to the growing challenge of fraud and financial crime is a fast emerging advanced data analytics frontier. As any good fraud investigation knows, fraud and financial crime are as much deep social phenomenon as aspects of financial transactions gone awry. Thus the application of social network analysis is able to […]

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Our Magical Minds Redux

May 21, 2014

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Venus

A link to a good article proposing that our minds evolved to see patterns and significance, predisposing us to magical and superstitious beliefs: http://theconversation.com/caveman-instincts-may-explain-our-belief-in-gods-and-ghosts-26945 This supports the notion that a major challenge in data science is overcoming our inbuilt behavioral predispositions, for instance the tendency to overfit data samples or to conflate correlation with causation. […]

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TedX: Data Science and Our Magical Minds

December 15, 2013

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A TedX talk I gave November 18th 2013 in Rotterdam, Netherlands at the Rotterdam School of Management (RSM). This talk distills many of the thoughts discussed in this blog. If you like it, please forward! http://www.youtube.com/watch?v=q4d1DArZKgo

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Data science as an experimental process: unsupervised and supervised learning

August 17, 2013

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Data Science

As a companion to my recent post “Correlation versus Causation: The Science, Art, and Magic of Experimental Design”, I wanted to offer a more technical exposition concerning data science approaches to focused causal model development. A fundamental question faced by business analytics professionals and data scientists is whether they have a working correlative and causal […]

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