In our fast-paced world, data is more important than ever to a company’s strategic position. Yet data projects often miss the mark with customers because they’re inherently monolithic and complex to deliver. If data has become our most important asset, why are we still delivering like we're in the Stone Age?
If you've been around data and analytics teams you've probably heard it all: "We can't be Agile, we're different," "We can't iterate over a data model" or "Our customers don't want to see half of their request."
There are many reasons why data work may be stuck in the past. As Agile Coaches, Scrum Masters and Data Team Leaders, we need to learn why and how an empirical approach to data delivery can diminish the risky business of building and delivering the insights organizations need to remain competitive in the Digital Age.
In this Agile Leadership Series webinar, we’ll uncover how Agile ways of working can be applied to the often-overlooked domains of enterprise reporting, advanced analytics, data science and the data structures that feed them.