After completing this lesson, you will be able to:
The dimension objects in the list come from different universes, so Web Intelligence cannot automatically merge the dimensions. If you try to combine data from the two objects in a single block, Web Intelligence will not automatically be able to interpret the relationship between them.
See the following video to learn more about synchronizing data from multiple sources.
Examples of dimension and attribute objects are Store name and Store.
If one object is character-based and the other object is numeric, you cannot link the objects as they do not share a common data format.
Even though the objects FY13 and the 2013 both refer to a year, they are in a different format and therefore have two separate values. Extra spaces in some values can also mean that the objects cannot be merged.
There are many possible advantages of merging personal data to universe data, including the ability to do the following:
Synchronize the data from the universe and the local data provider, just like when you combine data from separate universes. Use Merge to select common objects from queries on different data sources and merge them into a single object.
Remember that the objects must be the same data type and retrieve semantically related data in order for them to qualify as merged.
