A data analytics firm was looking for a solution to reduce the time analysts were spending on normalizing data. The firm was having trouble preparing data from social channels, websites, customer reviews, and other text-based sources. Analysts were spending too much time cleaning and preparing the data, and clients were starting to demand faster answers.
We could demonstrate in a test environment how eContext could pull text data from any source and normalize it by mapping it to our taxonomy. Because eContext is a general taxonomy, the firm could rely on our classification system for the wide range of topics and clients they worked with.