R – Finding Mispriced Diamonds

In this post, I will be going over a simple example on how to use R to find insights using the diamonds dataset that comes with R. The Dataset: There are three columns within this modified dataset, carat (weight), clarity, and price. Here is a sample of the dataset and the clarity value explanations:  …

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Can I make Essbase on Exalytics Even Faster?

I have spent a lot of time working in Exalytics environments, and while they are incredibly fast, I have always been curious if there are ways to squeeze a little bit better performance from such a super charged server.  Specifically, if it's possible to make Essbase on Exalytics even faster. Well, I recently found a…

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Regression Analysis 101

Regression analysis is useful in statistics as it allows us to identify trends in the data. If you find yourself wondering if there is a correlation or relationship between variables, then regression analysis might be worth exploring. As it will help identify and quantify trends, as well as aid in future predictions. An overly simple…

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IBM Planning Analytics and the Secure Gateway

  Are you a current or future TM1 user interested in loading on premises data into IBM Planning Analytics Cloud?   This blog describes how to set up a secure connection to safely transmit data to the IBM Planning Analytics Cloud from on premises databases.   As IBM describes here, the IBM Secure Gateway “provides a…

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