Lyndon Maher, Paul McManus discuss data driven development, how to collect data, getting feedback, tools to use, and how to integrate a data-driven mentality into the team.
Austin Bingham answers questions on reviews: how long should they be, what should be reviewed, how do reviews account for an increase in quality and ROI?
Shane Hastie discusses the need for business analysis and requirements management, and showing how product ownership requires a team with a variety of skills and backgrounds to be effective.
Larry Maccherone presents his top 10 tips for using data to influence others toward better decisions.
The authors show how statistical debugging can be used for diagnosing performance problems, lowing the overhead of run-time performance diagnosis without extending the diagnosis latency.
The authors share insights from their experience building DSLs for business people.
Garrett Eardley explores how Riot Games is using Riak for their stats system, discussing why they chose Riak, the data model and indexes, and strategies for working with eventually consistent data.
Ronny Kohavi shares lessons learned, cultural and scaling challenges conducting hundreds of concurrent online controlled experiments at Bing.
Bjarte Bogsnes discusses Beyond Budgeting and tackling budgeting issues in traditional management, the Statoil "Ambition to Action" management model with implementation experiences and advice.
Stephen Hardisty presents how Etsy delivers products without having project managers, business analysts, or testers.
Guy Dugas, Angie Duncan, Barb Spurway, Kevin Giles discuss about the roles, skills and competencies of business analysts, challenges and experiences, and how they have delivered value.
Jonathan Seidman and Ramesh Venkataramaiah present how they run R on Hadoop in order to perform distributed analysis on large data sets, including some alternatives to their solution.