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Tableau 10 was released on August 15th, and it is quite an upgrade. I’ve been spending some time doing hands-on testing of the new version, and I’m excited to share some of the new features I’ve explored with you.

In addition to a new custom font, new color palettes, and new themes that make Tableau more beautiful and visually appealing than ever, Tableau 10 has made great strides in bringing some of the most widely requested features from past releases into reality for this one. I’m going to walk you through some of the ones we at Ironside find most compelling and explain what the practical impact of each one is on the overall functionality of Tableau. This article will cover the following new features: Read more

On February 11th, Ironside hosted a webinar on Association Rules for Data Mining: Beyond Market Basket Analysis. Pamela Askar, Data Scientist at Ironside, presented on how to conduct association rules for data mining using SPSS Modeler. Read more

Do you ever wonder how Netflix makes recommendations for you? Or how the drug store decides which coupons to offer you when you make a purchase? Behind the scenes they have a data scientist conducting what is called market basket analysis, which searches through vast amounts of purchase history information to find patterns in people’s purchases, web searches, or Netflix viewing preferences. The data mining technique used for market basket analysis is called Association Rules (AR). This is the actual algorithm designed to detect probabilistic if- then statements, such as “If you watched Breaking Bad and House of Cards, then you are also likely to enjoy Mad Men.” Read more