Very good sample of Procurement Spend – demo of Data Visualization (DV)/ Visual Analyzer (VA).
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.
If you’ve created lots of percent variance columns, it’s probably second nature that you will create your formula and then multiply by 100. In 12c, you can create your percent calculation without multiplying it by 100, then set your % data formatting in the Column Properties. In the same spot where you specify how the data is displayed, you can check the x100 box, which in turn will automatically multiply your results from that column by 100. Pretty sleek solution to simplify your formulas.
This feature is very well described here, so I will give a high level overview: 12c gives you a very easy way to save a complex formula into the catalog. If you’ve built a lot of logic in a column’s formula, and would like to reuse the logic in future reports, you will appreciate the opportunity of saving columns. I remember creating many financial calculations that had to be reused often, and until now there was no easy way to retrieve the column formulas. Trying to simplify my life, I ended up inventing “my own method” of saving complex calculations by saving different analyses that I named as “Master – Calculation” containing the columns that I reused often. I would start many reports based on these Master reports because they had my pre-built formulas; however, this was not a clean method for others to follow. OBIEE 12c gives you this clean and simple method for storing and reusing your most wanted columns. You do this by entering your formula in edit formula and choosing to “Save Column as” for future use.
OBIEE 12c provides a more intuitive way to create calculated columns than previous versions. In 10g or 11g, you needed to add a “whatever” column to the query, and then go in Edit Formula to define the calculation for your new column. While this worked, most new users often wondered why they were “bringing in two revenue columns,” for example. In 12c, you can add only the needed columns to your Criteria, then go straight to Results. In the Results tab, there is a New Calculated Measure icon that brings you immediately to the Edit Formula screen where you can name your new measure and define its formula.