Category: Data Management
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Data Science Toolbox: How to use Julia with Tableau
Michael, a data scientist, who is working for a German railway and logistics company, recently told me during a FATUG Meetup that he loves Tableau’s R integration and Tableau’s Python integration. As he continued, he raised the question of using functions they have written in Julia. Julia, a high-level dynamic programming language for high-performance numerical…
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TabPy Tutorial: How to Integrate Python with Tableau for Advanced Analytics
In 2013, Tableau introduced R Integration, the ability to call R scripts in calculated fields. This opened up possibilities such as K-means clustering, Random Forest models, and sentiment analysis. With the release of Tableau 10.2, we can enjoy a new, fancy addition to this feature: the Python Integration through TabPy, the Tableau Python Server. Python in…
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Tableau: How to find the most important variables for determining Sales
During the Q&A session of a recent talk on Data Strategy, I was challenged with a rather technical question: I was asked how to identify the variables that are heavily influencing a certain measure – with an interactive solution that matches a modern data strategy as suggested in my presentation. Of course, this could be done by executing…
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How to enable Multi-Language Sentiment Analysis with R
Have you seen how easy it is to integrate sentiment analysis in your Tableau dashboard – if your text is in English? Until now the sentiment package for R only worked with English text. Today, I released version 1.0 of the sentiment package on GitHub that features multi-language support. In order to perform sentiment analysis…
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Digitale Banken: Die Zukunft des Privatkundengeschäfts und der Vermögensverwaltung
Vor gut einem Jahr habe ich mit dem Blog-Post “Digitale Banken: Welche Anforderungen bringt die Digitalisierung?” einige Ideen aufgezeigt, wie sich Banken die Digitalisierung zu Nutze machen können. Die Motivation ist meist die Steigerung des Umsatzes, Kostenersparnis und die Erschließung neuer Märkte. Die Herausforderungen sind nach wie vor schwindenden Zinserträge, härtere regulatorische Vorschriften, erhöhter Wettbewerb und…
