I this post I will discuss creating Calculations in Oracle Analytics on an EPM Data Source. My previous posts related to Oracle Analytics with EPM Data can be found at the following links:
In Part 2, I showed how to make 2 performance tiles using filters at the visualization level.
EPM and Essbase data sources treat the data to be displayed as an intersection of the dimensions. A single Value.
This causing difficulty in trying to display a dimension across two different measures.
Butterfly Charts and Scatter Plots are two types of visual displays that do not work when there is a single value.
So how does one create 2 values / measures?
It is quite easy. On the left panel below the data source is an option to create calculations.
Below are 2 new measures I created so that I could create the Butterfly Chart and Scatter Plots shown above.
This 3 part series was meant to demystify the nuances of creating awesome visualizations off EPM data.
hi Wayne,
ReplyDeleteThis blog is nice on EPM and DVCS integration.
Could you also suggest on how do we include EPM dimension hierarchy (Ex: Account Hierarchy) into project so that we can expand/collapse member values.
Thanks,
Aravind
Data collection is a very important step in gathering the raw facts from various settings. Before you think about representing your data, make sure the information you have is accurate. When data analysts want to investigate how two or more variables are related to each other, they use columns of information in table form.
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It's sad that so many of these comments are simply excuses to plug some other company or site...I'm here to say this was a great post - I've just started using calculated fields and didn't realize you could do compound calculations, at least, I hadn't thought about them in that way. I suppose anything with AND could be considered compound. Regardless, I see this post was from January of this year and while I know blogging isn't always first priority, I would certainly like to see more posts because the info you give out is extremely useful for those of us using OAC data visualizer!
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