Outliers deviate from the norm—significantly enough to give marketers pause. But outliers can tell us more about our data, how we gather it, and what is in it, if we examine the entire data set ...

OAKLAND, CA, Oct. 7, 2020 – With its automated business analysis (ABA) platform, Outlier discovers and elevates unexpected changes in consumer behavior, customer demographics and buying patterns. For ...

Outlier is the third journalism service MuckRock has adopted in the past few years, and the two groups’ incumbent leaders Sarah Alvarez and Michael Morisy plan to help address more information needs ...

New insights are given into why the problem of detecting multivariate outliers can be difficult and why the difficulty increases with the dimension of the data. Significant improvements in methods for ...

Outliers have the potential to skew analysis when they aren’t properly accounted for. Addressing outliers, specifically in trade cost analysis (TCA) data, is crucial for traders because it ensures the ...

Data analytics deals with making observations with various data sets, and trying to make sense of the data. When dealing with very large data sets, automated tools must be used to find patterns and ...

Outlier, a startup with a sound pedigree in network security, is launching an endpoint threat-detection system that sets itself apart from competitors by working without the need for an agent on every ...