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.
Nathan Marz explain Storm, a distributed fault-tolerant and real-time computational system currently used by Twitter to keep statistics on user clicks for every URL and domain.
Manas and Clemens discuss deriving business agility from SOA and BPM, how SOA and BPM enable agility, and pitfalls/recommendations for organizational culture, business and technical architectures.
Hilary Mason presents the history of machine learning covering the most significant developments in the area, and showing how bit.ly uses it to discover various statistical information about users.