The Swiss Analytics Magazine (SAM) is one of our means to achieve the association objectives. The main objective is to provide original analytics content to Swiss practitioners. In the different issues, we will propose interviews with leading actors in analytics, technical articles, case studies, book reviews, company profiles and event agenda. All these with a focus on Switzerland, since the SAM aims at being a swiss magazine for people in the field of analytics. The proposed frequency of the SAM is bi-annual. We have chosen English language to allow anyone from Switzerland to read all its content.

Please send any feedback to info@swiss-analytics.com.

Magazine issues:

Issue 7: Analytics for Audit

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Issue 6: Automating Data Science

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Issue 5

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Issue 4

In the following pages you’ll find an article from Mike Gilliland on Benchmarks in Forecasting. Followed by another from Bart Baesens, Véronique Van Vlasselaer and Wouter Verbeke, on Big Data and Analytics for fraud detection, Sergio Moral wrote on Big Data and Sandro Saitta on Gradient Boosting Machine. Common columns include the agenda for a few upcoming events, a book review by Amine Mansour : “Data Science for Business”, by Foster Provost and Tom Fawcett. Enjoy your reading !

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Issue 3

The current issue contains plenty of analytics articles. Amine Mansour interviewed Alex Monnier from Itecor about Big Data consulting. Christian Laux proposes the third and fourth parts of his article about the legal aspects of Big Data. Manuel Martin Marquez writes about information discovery at CERN. Dean Abbott gives us an excerpt from his last book Applied Predictive Analytics. Martin Jaggi uncovers the Zurich Machine Learning and Data Science Meetup. Common columns include agenda of upcoming events, description of the Swiss Analytics Event of November 2014 and a book review. Enjoy the reading!

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Issue 2

In this second issue, you will find original content about several data-related topics. Sébastien Marcel presents biometric projects at IDIAP (cover story). Philippe Nieuwbourg introduces the concept of data storytelling. Frank Block describes concepts behind data quality. Polly Mitchell-Guthrie explains INFORMS analytics certification. Dario Mangano illustrates the database leaf schema. Christian Laux continues to discuss the law aspects of Big Data. Sandro Saitta reviews the book R in Action. Finally, Christian Gügi presents his association, the Swiss Big Data user group

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Issue 1

In this very first issue, we cover several analytics topics with a focus on forecasting. Marcel Baumgartner explains forecasting at Nestlé. Mike Gilliland, from SAS, has been interviewed by Sara Vidal about forecasting performance. Jean-Marc Vandenabeele describes the notion of bounce rate in web analytics. Vincent Schickel-Küng introduces the concepts behind online recommendations. Benjamin Wiederkehr presents datavisualization.ch. Finally, Christian Laux discusses the legal aspects of Big Data.

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