Consulting's bread and butter is data-drifven problem solving, meaningt that as much as possible, each core issues identified and recommendations formulated need to be based on a certain logic supported by data.
As such, 70-80% of the time is spend on requesting, consolidating, analyzing, and pulling insights from data. Now, there are various kinds of data, numerical data in form of spreadsheets, observational data points, or anecdotes (non-numerical data which involves statements from various sources).
The rest are typically spent to interact and help your client couinterpart in their top-mind issues.
For some projects, more client handling is required, but still we spent the other times mostly to build a sound structure supported by tangible logics and data.
Hope it helps.