TIBCO Spotfilre offers mapping capability which can be a very powerful tool to understand the businees and where they come from, their demographics, socio-economic status and other variables which are important to the organization and their strategic plans. Visually very powerful and the ability to hover over the data and small captions which pop-up help the user determine what they are looking at.
Slightly cumbersome in the build but marginal enough not to be an issue. Lack of screen real estate to show multiple meaningful graphs or tables. Dashboard capability could use some tweaking to accomodate for the lack of space. Sizing and less clutter, more options to just show a single number or numbers would be helpful.
Tibco Spotfire which is being used by McKesson Corporation to support their next generation business intelligence tool, Explorer. It is again web based supported by large massive datasets behind the scenes which can be updated dynamically when the data is refreshed so are all the dashboards and analytical presentations. The product offers GIS (mapping) capability which is fantastic to see the data by geographical areas such as zip codes, States and so on. It also has the capability to overlay data when you need to provide analysis on cost and volume or volumes by a demographic category, ie: age, gender, ethnicity and add another dimension like severity of illness, financial class, and payments. It is fantastic tool that offers more to the end user to be able to understand their business.
From an administrator point of view, this is your classic setting up the database right the first time, making the appropriate connections from one dataset to another based on a common variable or string (an id number) then building the presentation piece so that the end user can see the data in either tables or graphs or both.
I have used the tool and think of it as a very advanced pivot table. Categories can be selected, periods (years, quarters, months) or the administrator can also create categories as the end user needs.
This is the way the BI industry is headed. More flexibility, predictive analytics and mobile.