Mobile BI Design Framework: Performance with a User Focus

When we discuss performance in mobile business intelligence (BI), we often talk about two components: response time and availability. I discussed the response time in detail in a previous blog. Today, I want to expand on availability.

Availability is sometimes referred to as “up time,” but it goes beyond that. We need to manage performance with a user focus to make sure our priorities support business execution, not hinder it.

Managing performance of any technical solution is a tricky business and mobile BI is no different. We primarily deal with two elements: What we can manage and what may be out of our control. To use a tennis analogy, we should always focus our energy on the former to make sure we can eliminate unforced errors.

The U.S. House of Reps, and Data Visualization (#1)

Does turning data into beautiful, elegant graphics actually result in a better-informed audience? Is it the most efficient, effective way to get your point across?

Mobile BI Design Framework: The Art of Support

When it comes to supporting mobile business intelligence (BI) implementations, what we do after we go live is as critical as what we do before. Technology support is art as much as it is science. If you add to the mix global deployments, remote access, language and cultural barriers, we face a daunting task especially when supported by virtual teams without on-site personnel. Two key elements should guide your approach: quickly identify the root cause for immediate relief and put in place safeguards to prevent future occurrences.

Defining Data Scientists & Their Tools

There’s no shortage of opinion in the blogosphere on the relative merits of SAS, R and Python for data science.

The Fan Experience Matters: Data Is a Strategic Asset

Fan insight is the Holy Grail of fan experience. Sports and entertainment organizations invest a lot of time and resources to better understand who their fans are, what they like and don’t like. Data is a key ingredient for gaining better and deeper fan insight. So it plays a critical role regardless of the sport, event or the size of the organization. Analyzing fan insight is like solving a jigsaw puzzle. Individual pieces (data sources or systems) in “disconnected” states won’t tell the whole story.