InfoQ Homepage Business Analysis Content on InfoQ
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Making the Case for Review
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?
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Product Ownership Is a Team Sport
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.
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Progress from "What?" and "So what?" to "NOW WHAT?"
Larry Maccherone presents his top 10 tips for using data to influence others toward better decisions.
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Statistical Debugging for Real-World Performance Problems
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.
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On the Way to DSLs for Non-programmers
The authors share insights from their experience building DSLs for business people.
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Tracking Millions of Ganks in Near Real Time
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.
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Online Controlled Experiments: Introduction, Insights, Scaling, and Humbling Statistics
Ronny Kohavi shares lessons learned, cultural and scaling challenges conducting hundreds of concurrent online controlled experiments at Bing.
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Beyond Budgeting - a Management Model for New Business and People Realities
Bjarte Bogsnes discusses Beyond Budgeting and tackling budgeting issues in traditional management, the Statoil "Ambition to Action" management model with implementation experiences and advice.
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Screwing Up For Less
Stephen Hardisty presents how Etsy delivers products without having project managers, business analysts, or testers.
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Panel: Why Exactly Do I Need a Business Analyst on My Next Project?
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.
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Distributed Data Analysis with Hadoop and R
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.
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Storm: Distributed and Fault-tolerant Real-time Computation
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.