How we made Agile work where it shouldn't have: Banks, Big Data and More

Some projects are doomed to be waterfall. Doomed to incremental delivery, struggling under the mass of requirements documents, reporting and vendors.

Or maybe not. Maybe, just maybe, with a nuanced approach you can defeat the Project Management Ogre Office and their unreasonable demands, deflect the persistent challenges from executives and succeed in using Agile in a non-agile environment or project.

Big data is in high demand. More and more companies are recognizing that they have a vast wealth of information locked away in disparate databases and proprietary systems. How can an agile delivery model help when the constraints are all waterfall, and not terribly interested in helping?

This session will explore a couple of case studies from health care and banking to showcase the techniques that can be utilized to succeed in a waterfall environment.

 
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Outline/structure of the Session

  • Overview
  • Big Data Project
    • Why Agile Shouldn't have worked
    • How we made it work
  • Cloud Infrastructure
    • Why Agile Shouldn't have worked
    • How we made it work
  • Other projects
    • What you can do to fit agile in
  • Wrap up
  • Q&A

Learning Outcome

What we did at a major bank and leading SAS company to enable Agile and what you can do in your environment to help your projects.

Target Audience

Waterfall practitioners, Agile beginners, Big Data project teams

schedule Submitted 2 months ago

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