<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"xmlns:dc="http://purl.org/dc/elements/1.1/"xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"xmlns:admin="http://webns.net/mvcb/"xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Lentiq Blog</title><link>https://lentiq.com/blog/</link><description><![CDATA[]]></description><pubDate>Tue, 06 Aug 2019 04:23:00 -0700</pubDate><language>en</language><latestFuelVersion>1.4.3</latestFuelVersion><docs>http://blogs.law.harvard.edu/tech/rss</docs><dc:rights>Copyright 2019</dc:rights><item><title>Business Perspective: What is churn prediction and how to think about it in a business context?</title><link>https://lentiq.com/blog/what-is-churn-prediction</link><guid>https://lentiq.com/blog/what-is-churn-prediction</guid><pubDate>Tue, 19 Mar 2019 06:00:00 -0700</pubDate><description><![CDATA[<p>This is the first article in a series on churn prediction for a music streaming service. While the objective of the series is to illustrate how to think about data science projects in general, this article focuses on the business aspects of churn prediction.</p>]]></description></item><item><title>Data Lakes and Their Current State</title><link>https://lentiq.com/blog/data-lakes-and-their-current-state</link><guid>https://lentiq.com/blog/data-lakes-and-their-current-state</guid><pubDate>Mon, 28 Jan 2019 06:31:00 -0800</pubDate><description><![CDATA[<p>In a world where oil has been replaced by data as the most valuable resource, terms like big data, data warehouse and data lake are in the spotlight. Most people don&rsquo;t know that data lakes provide not only storage capabilities, but also compute power, offering an environment to perform analytics, big data and machine learning projects.</p>]]></description></item></channel></rss>