The fastest way to doom an Analytics team (and any hope of building a data-driven organization) is to present data and analyses that are often flawed or inconsistent. When people don’t believe they can trust the data, they will stop using them (and, if you are an analytics leader, you might be soon looking for a new job).
There are two techniques I rely on for ensuring data and analytical quality:
- Analysis audit and code review
- The internal data quality flywheel