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Getting Data Right

March 23, 2017

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Brief coverage of and link to O’Reilly ebook ‘Getting Data Right’

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Data Science Q&A on Quora

January 2, 2017

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Starting off with a bang in 2017, this past year I started using Quora, an online question and answer platform. There are a number of questions and answers related to data science/data analytics.  A few of these might be of interest to you as we ring-in 2017: What areas of data science or machine learning […]

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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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Fighting Fraud and Cyber Threats with the power of Network Analytics

February 6, 2015

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New blog post published for Deloitte – view original post: Both fraudsters and cyber attackers take advantage of an increasingly interconnected world to infiltrate and assault financial and virtual infrastructures. Especially sophisticated electronic interactions bind people together in complex, global networks. While such networks have created new opportunities for interaction and commerce, they have also […]

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Reblog: How to use phone calls and network analysis to identify criminals

January 13, 2015

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An excellent, hands-on demonstration of the power of social network analysis (SNA) via graph analytics to detect criminality from colleagues at Linkurious and a U.S.-based police detective: http://linkurio.us/how-to-use-phone-calls-and-network-analysis-to-identify-criminals/ SNA at times can seem too theoretical to stakeholders – this is an excellent example of a hands-on, engineering focused application with real practical value.  Applies Neo4J graph […]

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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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Anti money laundering (AML): the network graph analytics approach

October 10, 2014

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The fight against fraud and AML often hits a ‘brick wall’ when encountering labyrinthian international, corporate structures. Even well-known brands such as Google and Starbucks, use controversial, though currently accepted, international structures to optimize capital flows and to reduce tax liabilities, for instance the so-called Double Irish or Dutch Sandwich. Due to this complexity, increasingly […]

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Fraud analytics: collected links

October 1, 2014

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Recent collected posts and links to fraud detection and mitigation items: Network analytics for fraud detection & mitigation (video demostration) Part 1 video demo Part 2 video demo Semantics analytics lecture (Erasmus RSM) Demonstration of semantic analytics (video demonstration) Blog post Excuse me, do you speak fraud? Blog post Network analytics for fraud detection Blog post Network analytics: more than […]

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Excuse me, do you speak fraud?

August 18, 2014

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Excuse me, do you speak fraud? Network graph analysis for fraud detection and mitigation by Scott Mongeau Executive summary Network analysis offers a new set of techniques to tackle the persistent and growing problem of complex fraud. Network analysis supplements traditional techniques by providing a mechanism to bridge investigative and analytics methods. Beyond base visualization, […]

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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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