Ensuring business adoption
A data product only has value if its users successfully adopt it and make decisions based on it. For that, the analytics product should be known by its users and easily actionable.
Most data professionals are familiar with agile frameworks and know the importance of working incrementally, getting feedback, and documenting their work for better collaboration, transparency, and continuity. This section incorporates these techniques into analytics use cases to ensure business adoption.
Working incrementally
A typical struggle for analytics engineers, inherent to the fact that they stand between business and engineering, is balancing creating business value quickly while ensuring the quality of their solution. Developing quickly can come at the expense of a robust and future-proof solution, creating technical debt that will slow down the team in the future.
To ensure both the speed of delivery and the quality of the product, analytics engineers should...
