Yes, on a daily basis.
Some ideas: I find myself spending considerate amount of time on data preparation to ensure the data is accurate, consistent, and ready for analysis. This is an area that is complicated and I see room for improvement. Also, in relation to data governance, Data provenance (documentation of the origins, custody, and transformations that a dataset has undergone) is another area that may be improved. A naive & practical example; assume a manager makes a decision based on numbers and diagrams in a spread sheet. Performing reviews of the decision processes and validating the data used in the decision could benefit from better functionality in the software used in the analytics.
I am sure all the building blocks for the improvements already exists and that integrating them is a challenge.