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The Business Value Problem with Analytics

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Analytics has a value problem. This is not new. In fact, we have been talking about this for decades. That notorious failure rate to meet expectations from analytics has been stuck at 60-70% for as...
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The disparity – Correlation vs Causation

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We humans love to hear and tell stories. We are destined to naturally look for patterns in our day to day life events and we like to connect the dots, relate one event to...
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Simulating Popular Distributions in Python

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Interest in machine learning and data science has been growing at a rapid rate in recent years. More and more students are enrolling in online data sciences courses that are great at teaching them...
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How to Automate Analytics Professionals Out of Their Jobs

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I would be a big fat liar if I say I have never wasted time. I’ve been unproductive and procrastinated plenty of times. I have spent hours watching funny dog videos on Facebook (but...
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Data: It takes a village, but the buck has to stop somewhere

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I’ve said many times: too often, an existing function implicitly assumes data responsibilities in organizations that struggle with data management (for example, in this post here). Usually, this is either the technology function or...
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Who is looking after the quality of your analytics?

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We talk a lot about using analytics to improve the quality of something else. But when was the last time you thought about the quality of the analytics themselves? For many people, unfortunately, this...
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How do Regression Trees Work?

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Previously we spoke about decision trees and how they could be used in classification problems. Now we shift our focus onto regression trees. Regression trees are different in that they aim to predict an...