What can Visualizing Software Do For Your Data?
Expressive: a broad range of tools to tell any story
Data visualization must be flexible enough for you to tell any story. Bar charts do not necessarily work for everything. When viewing visual representations of you data, you are rarely looking along a straight line. As you navigate between different perspectives, you will find the trend and outliers that are the most important.
There are many ways to look at simple sales data. Different views answer different questions. Looking at data with a geographic element for example, brings in an entirely new dimension.
Interactive: interactivity supports visual thinking
The cycle of visual analysis is a process of getting data, representing it one way, noticing results and asking follow on questions. The follow-on questions might lead to a need to drill down, drill up, filter, bring in new data, or create another view of your data. Without interactivity, the analyst is left with unanswered questions. With the right interactivity, the data visualization becomes a natural extension of the analystís thought process.
Easy To Use: anyone can get questions answered
The irony of most analysis tools is that the people who know the data and have questions donít have the skills to use the tool to answer them, and the people who have the ability to use the tool donít know the data. The result can be a frustrating, slow, back-and forth process to answer basic questions.
An easy-to-use interface breaks this pattern. By enabling anyone to answer their own questions without needing programming knowledge or specialized skills, the process of analyzing data gets much faster, easier and more insightful.