Big Data, Small data, excel data, dashboard data, ad hoc reports, analytics, and even notes on a napkin. All of these need that same important piece to make them relevant: Context.

Although maps are one of the most recognizable forms of data visualization, they take up a large amount of on-screen real estate that can be better used to display more relevant information. That’s not to say that maps serve no purpose in data visualization! If you’re a shipping company that wants to monitor all of the items that are currently being delivered, plotting that information on a map makes the most sense.

By cornering your business needs and figuring out what is most important to you, you're able to solve specific objectives through intelligent business practices.

Dundas Dashboard allows you to take all of your data and present it visually. With a custom business dashboard you can ensure that regardless of its size, your data will be properly interpreted by all levels of your organization.

Resistance to change is human nature. People are comfortable with and like the status quo. The acceptance of analytics to tackle issues related to big data is going through growing pains. The transition pits skeptics, who are typically older and shaped by managing when errors were tolerated, against typically younger enthusiasts. The margin for error is thinner now, and past buffering methods to mitigate the impact from mistakes are overly expensive and fraught with penalties. How and why are the skeptics of applying analytics different from the enthusiasts?