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Experimenting to Win with Data

Sisense

Since 2005, Measuremen has helped its clients study and optimize facilities use. It’s crucial “to be able to slice and dice and go into that detail as you go along because not only do you want to provide information on a holistic view or a high level, but you want to be able to dive deeper.”.

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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

If they roll two dice and apply a label if the dice rolls sum to 12 they will agree 85% of the time, purely by chance. In practice, we see that the ICC computed this way is almost always equal to the version derived exclusively from the relevant slice of the data, regardless of the value of $rho$. Instead, we measure with error.

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Analyzing Data from Multiple Sources: The Key to More Powerful Insights

Sisense

When Measuremen CEO Vincent le Noble began the company in 2005, he wanted to help his clients make the best use of their workspaces. Read on to find out how Measuremen optimizes workspace utilization, Skullcandy minimizes product returns, and Air Canada improves airline safety. With a tool like Sisense, it changes the game altogether.”.