How to make agile actually work for analytics
Written by The Count Team
Discover how to effectively apply agile principles to analytics, fostering collaboration, trust, and rapid iteration for impactful data-driven decisions.
In 2001 when 17 developers met up in the Wasatch mountains of Utah to discuss how to improve the way they build software products, I doubt they imagined that in 20 years' time a community of neither software developers nor product builders would be so passionately debating their work. Yet, here were are, and hardly a week goes by without anarticle,slack question, or morearticlesdebating the theory and practices of agile analytics.
Whether and how we apply agile ideas to data is perhaps so divisive because it seems to elicit bigger, more existential questions about who we are as data practitioners:What truly is our role — to answer questions or enable others to answer for themselves? Is data a product, a service, or something else? Are business users our partners or our users? And how should we best work with them?