March 17, 2014
Go big or go home. In this issue of the Business Intelligence Journal, we look at “big”
and “small” from a variety of perspectives.
Big data is getting big buzz, and Bhargav Mantha looks at five guiding principles
to help your enterprise make the smartest investment in, and realize the promises
of, big data. Mantha stresses the importance of using the right tools and looking at
current technologies, such as social media.
Senior Editor Hugh J. Watson looks at five lessons learned from a BI project at a
nonprofit and the benefits, including big reductions in delivery time for critical
Troy Hiltbrand foresees big changes ahead in how business intelligence is executed
and deployed as smart machines and automation invade areas traditionally unique
to human interaction.
Justin Lovell looks at the big backlog of BI projects most enterprises have and
explains how teams can implement the agile mindset when building data output
applications. Lovell explores several agile concepts and how they specifically relate
to business intelligence projects.
Justin Hay writes about the big game—gamification, that is. He proposes an
alternative to the traditional data-governance-by-committee approach by applying
principles of the gamification movement.
We also look at why small is just as important as big. Max T. Russell looks at how
your attention to the smallest detail can prevent big problems. Markus Guertler
discusses the importance of using responsive design for building mobile BI applications
on small form factors. Our Experts’ Perspective feature discusses best practices
for moving to mobile BI.
Finally, this issue’s case study describes how the Stanford Graduate School of Business
realized significant performance improvements to some core operations and
how that success is paving the way for pushing deeper into the cloud. In our Q&A,
we examine Barry Devlin’s idea of business unintelligence.
As always, we welcome your comments, both big and small. Please send them to
James E. Powell
Business Intelligence Journal
IN THIS ISSUE
- How BI Makes Food for the Poor More Efficient and Effective
Hugh J. Watson
- Five Guiding Principles for Realizing the Promise of Big Data
- BI Best Practices: Thoroughly Think It Through
Max T. Russell
- Agile Business Intelligence: A Practical Approach
- Watson and Siri: The Rise of the BI Smart Machine
- Data Governance Gamification
- BI Case Study: Stanford Graduate School of Business Builds Operational BI for Data in the Cloud
Linda L. Briggs
- Q&A: Beyond Analytics and Big Data in BI
- Responsive Design: The Key to Responsive Mobile BI Applications
- BI Experts’ Perspective: Mobile BI
Jake Freivald, Suzanne Hoffman, Cindi Howson, and Nic Smith