InfoQ Homepage Business Analysis Content on InfoQ
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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.
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Deriving Agility from SOA and BPM - Ten Things that Separate the Winners from the Losers
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.
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Machine Learning: A Love Story
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.
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IIBA Debate on the Role of the Analyst in Agile Projects
At a recent IIBA New Zealand members event Shane and Pete debated the role of the business analyst on Agile projects. They looked at the importance of analysis on projects and how the role changes.
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