Applying Agile to Analytics and BI
Agile has been successfully embedded into software development for years , but it’s adoption by the fields of Analytics, Business Intelligence (BI) and Data Warehousing (DW) has not been as extensive or successful.
Is it because what we do is so different that Agile has no place in our world? Or is it simply due to shortage of information and guidance on how to apply Agile principles and practices to Analytics and BI?
Myths and misconceptions about Agile abound. No, it is not a “cowboy” style development where you forget about all documentation, do things quickly in an ad hoc manner and lose sight of the end goal.
The paradox of Agile is that it is simple, but it is not easy.
It is built on a simple set of sensible values and principles, but it requires a high degree of discipline and commitment to execute properly.
The rewards of Agile can be great – high-quality and high-value working systems, increased visibility and productivity, motivated teams and, most importantly, satisfied and happy users.