This article looks at the quality of data in Social Listening analytics. Getting hold of data these days is easy. Data is plentiful too. Getting bad data is easy. Getting false interpretations of data is easy. The argument that big data must be accurate because there is such a large volume of data is a flawed argument too. Wrong assumptions and inferences about the data can lead to huge mistakes.

If you missed our webinar discussing the why, how and when of social listening catch up on it with the recording below where we cover the following topics…