1) The goal of Business Intelligence systems is to provide decision makers with analytics, or quantitative measures of performance, to support decision making. Yet a study done by Accenture claims the majority of decisions are still supported by qualitative measures. Discuss why this gulf exists. How should you as the developer of DSS respond? Be specific in your answer.
2) 2) It has been said that with "Big Data," we must be concerned about the "volume, variety, velocity, veracity and verisimilitude of data." Discuss what is meant by these terms and what we must do to respond to them in a DSS.
3) The desktop metaphor has been a mainstay of computers for some time now. But as BI moves to more mobile platforms and even to the platform-less computing of the Six Sense, the desktop metaphor is less important. How will this impact the usability of the systems providing BI? What would you do to mitigate such an impact?