2. Charles Phillips screen
9/22/2018
Oracle Business Intelligence 11g
Hierarchies and Level Based
Measures

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4. Agenda Hierarchies and Level based Measures
In today’s session we will be talking about Hierarchies and Level based Measures

5. Dimension Hierarchies
Establish levels for data groupings and calculations
Provide paths for drill down
Year
Region
Quarter
Country
Month
City
The Hierarchies in dimension tables allows for data groupings and calculations It Provides paths for drill down
A great example is that days group into a month and Months group into a quarter and quarters group into years..
In other words, we can drill down from Year, to qtr to month to a detail day…
Day
Customer 5

6. A Dimension Can Have Hierarchies
“Drill Down” to more detail by adding lower hierarchy “levels”
Start with Measure Total
Break down by Manager level
A dimension can have many Hierarchies and each dimension can have different levels of hierarchies
In this example we start with the total revenue and then we break it down by Manager and then by Supervisor and then by Employee..
Notice that the Grand total remains the same.. It is just that it is broken down by the levels of the hierarchies.
Then by Supervisor level
Total remains constant unless filtered
Then by
Employee Level

7. A Dimension Can Have Multiple Hierarchies
All Time
Year
Fiscal Year
Quarter
Fiscal Quarter
Month
Fiscal Month
Week
A dimension can have multiple hierarchies and the drill paths could be different …This is a perfect example where a Day rolls up either to a month or a week..
It Then rolls up to a Fiscal Month or Calendar month and you can see the progression upwards..
Day

8. Each Hierarchy Level Can Have “Attributes”
Attributes enable analysis of many business questions
“Who was hired in 2005?”
“Do Associates have higher per-person revenue than Principal employees?”
This example illustrates that each level within a hierarchy can have attributes… Attributes help in analyzing business problems…
Employee Level
Employee “Hire Date” Attribute
Employee “Type” Attribute
Employee “Position” Attribute

9. “Dimensionality” Hierarchy Level Dimension Time Customer Market Order
Product
Org
Total
All 1
Year
Segment
Region
Brand
Manager 2
Qtr
District
LOB
Supervisor 3
Month
Area
Type
Employee 4
Week
SKU 5
Day
This illustrates the Dimensionality or it shows that not all dimensions have the same level granularity, for instance the time dimension goes to the detail day level which is 5 levels deep, whereas the customer dimension is only 2 levels deep.

10. Different Measures Can Have Different Dimensionality and Grain
Dimension Level
Time
Customer
Market
Order
Product
Org
Booked Amt
Day
SKU
Employee
Sales Forecast
Qtr
n/a
Revenue Forecast
All
Region
Brand
Inventory
Market Share
Year
Type
This demonstrates that it is not necessary for the Measures to be all in the same grain or dimensionality, for example Sales Forecast is by Qtr, Customer, Market & Employee whereas the Revenue Forecast is by Qtr, All Customers, By region and by Brand..

11. Oracle BI Foundation Suite
-> Business Intelligence -> White Papers -> Oracle Business Intelligence Foundation Suite (PDF)
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