To act with confidence, an organization must trust its data. However, our capacity to store and process data has far outpaced people’s ability to consume and manage.

From raw elements to analysis and reporting, the path through the data lifecycle is filled with choices that have implications far down the line. Maintaining data integrity in this environment requires a careful balance between enabling discovery and controlling chaos, as well as a thoughtful integration between analytics and engineering to avoid surprises for either party.