Why do organizations possess so much data yet so few true insights into it?
As it turns out, data folks can learn quite a bit from their counterparts in software development. Agile methods such as Scrum can help organizations turn their data into knolwege, insights, and action.
Few intelligent business folks doubt the importance of analytics these days. Moneyball didn’t exactly drop last year. Just about all CXOs say that data is their organization’s most imporant asset—or at least one of them.
Paradoxically, though, relatively few firms have moved from theory to practice. Why is this the case?
In this talk, I draw upon lessons from my 2017 book Analytics: The Agile Way.
What Attendees Will Learn
In this talk, I incorporate lessons from my eighth book Analytics: The Agile Way. I answer questions such as:
- Why have most organizations’ analytics efforts struggled to deliver?
- Why is it more important than ever to adopt an analytics mind-set?
- How can Agile methods such as Scrum help our organization quickly find meaningful insights?
- What can we learn from Google, Nextdoor, Foursquare, and other organizations that have embraced Agile analytics?
- What are the key mistakes to avoid in adopting Agile methods?