There is also a more intuitive abbreviation of the measures that are placed on a graph. In 11g, when you dragged an amount to an axis, you may recall that the numbers would show up exactly as the raw number. So, if your result was 12,000,000, then that was exactly what you would see on the graph to begin. If you wanted to improve your graph, then you needed to go to the Graph Properties and format the data from the axis to be abbreviated into, for our example above, millions (or 12M). To save you a step, 12c will automatically abbreviate your graph data in the most user-friendly way. So, if the data is 12,000,000, you automatically get 12M!
Easy to use heat matrix!—I mean it: easy. While in 11g, you would have to be somewhat visually savvy and spend a lot of time conditionally formatting. OBIEE 12c gives you a tool that allows you to create a meaningful heat matrix in a matter of minutes—wait—even seconds. All you need is to know the two dimensions and one measure that you would like to use, and drag and drop them. Choose from an array of color schemas and how you would like to use the colors. In no time, your heat matrix is ready.
A new member of the OBIEE family is here to provide a visual solution for very complex activities. The Treemap provides a hierarchical structure that allows you to quickly spot patterns and outliers. At first, it may require a bit of head twisting to look at a graph like this, but remember, this is indeed a graph for complex activities. One of the most ideal usages for this new feature is the grouping by parent/children groups and the displaying of how two measures fair up inside each group.