Geckoboard offers up some useful tips for designing a successful dashboard.

I will be finishing off my video sneak peeks with a look at Dundas Dashboard. It has a lot of visualizations and design elements to choose from so if you have a very specific design in mind, Dundas Dashboard is a good option.

Mobile use is now the most significant consumer technology when it comes to improving BI adoption, says Daniel Yuen of Gartner

Color blindness is a color vision deficiency which affects roughly 8% of the North American male population and 0.5% of the female population. So when designing data visualizations and dashboards, it’s important to keep this group of people in mind to make sure they are seeing the same results as everyone else.

Before delving into what Lean BI is, it is important to address what Lean BI is not. - Information Management article.

Although it is sometimes said that sales is an art, the reality is that sales is a process. This process requires specific skills and activities that can be measured and managed to improve a salesperson’s performance. Unfortunately, front line sales management has a tendency to operate at the individual opportunity level instead of the process level.

Further cementing the use of mobile business intelligence as well as real-time dashboards, Forbes has published this great article by Daniel Yuen from Gartner.

Business intelligence can help companies to better control costs and align expenditures with revenue. A common area of focus is spend analysis and management because it provides many cost reduction opportunities including decreased material, services, and inventory costs, as well as decreased sourcing cycle times. BI can provide the visibility and insight needed to improve procurement performance.

How Dundas is differentiating itself early in the Mobile BI sphere.

Boise Inc. first started using Corda CenterView dashboards to measure performance metrics that would help it improve the overall productivity of its equipment and assets. Its performance metrics were based on three main components; asset availability, asset operating rate and the ability of the asset to produce a quality product. The challenge was that the data needed to measure all of those components came from a variety of different systems in a variety of different locations, which all needed to be aggregated and normalized.