Southern Fried Agile 2016

Simple techniques for making decisions around risk and opportunity

You know "collaboration over contract negotiation', right? However, metrics often drive a wedge between management and the team, none more so than forecasting metrics. However, when you give a probability distribution as the answer to the question, "When will we get it?" instead of a single date, an amazing transformation happens. Suddenly, the team and management start working together to manage tradeoffs and risk. 

You need two things to take advantage of this paradigm shift: 1) How do you start to think probabilistically?; and 2) How do you generate a probabilistic forecast or analysis? This talk provides mindset shifts necessary for #1 and lots of worked out practical examples for #2.

Most people will agree that data warehousing and business intelligence projects take too long to deliver tangible results. Often by the time a solution is in place, the business needs have changed. With all the talk about Agile development methods like SCRUM and Extreme Programming, the question arises as to how these approaches can be used to deliver data warehouse, analytics, and business intelligence projects faster. This presentation will look at the 12 principles behind the Agile Manifesto and see how they might be applied in the context of a data warehouse project. The goal is to determine a method or methods to get a more rapid (2-4 weeks) delivery of portions of an enterprise data warehouse architecture. Real world examples with metrics will be discussed.