OBIEE 12c – NEW FUNCTIONALITIES – PART III

Advanced Analytics

OBIEE 12c gives you the capability of working with statistical and R functions right from the ‘Edit formula’ pane. While I have found that this new feature was still not very user friendly, it’s a lot easier than making this functionality work in 11g. For example, to create a simple Trendline with 11g, the developer had to slowly build each step of a calculation to find the slope of a line, and then find the Y intercept. With these answers in hand, the results had to be carefully placed on a graph, so that it could render meaningful results. If you require statistical graphs within OBIEE, 12c may be a great fit for you. For example, below is a graph showing four different Trendlines:

trendline-300x282

The Criteria for building these four lines would be very intense in 11g; but in OBIEE 12c, it contained only five columns: one for the Calendar Year, and one for each Trendline. The Trendlines were created one at a time, by inserting the new “Analytics” Function in the column’s formula (see below).

aa-combo-300x130

Data Mashup

This is a dream come true to many of us, though it requires an optional data visualization license. With this new functionality, you are able to use OBIEE along with any excel spreadsheet (XSA) saved on your machine.

You can add a spreadsheet to OBIEE from two areas:

  1. When you are creating an analysis (in the Criteria tab, and then choosing to add data source as shown below), or
  2. By going to the Visual Analyzer Home Page.

    As this blog focuses on Answers, I will review the first option here.

    There are three possible ways of analyzing a spreadsheet in Answers. You either want to:

    1. Analyze the spreadsheet by itself, or
    2. Use attributes from the spreadsheet along with fact data from your enterprise system, or
    3. Use fact data from your spreadsheet along with attributes and facts from your enterprise system.

    For options 2 and 3 to work properly, it is important that your joins are properly matched (watch your cardinalities!) from your spreadsheet to your enterprise data. Also, as usual, option 3 will only work along with another fact table when the two tables are joined to a conformed dimension. Cardinalities and conformed dimensions are items that we generally take for granted when working on front-end OBIEE, because these points have been carefully handled during RPD modeling. Since the spreadsheet modeling has to be done in the front end, special caution must be used when modeling them in order to avoid “exploded” results, or simply inaccurate results.

Source: http://www.rittmanmead.com/2016/03/obiee-12c-your-answers-after-upgrading/

Advertisements

OBIEE 12c – NEW FUNCTIONALITIES – PART II

Measure Abbreviation

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!

measure-abbreviation

Heat Matrix

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.

heat-map

Treemaps

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.

treemap