Explanation/Reference:
BSO is preferred to ASO in the following scenarios:
* Top-down planning and allocation (Sales Forecasting)
* Cost Allocations across products and customers (Profitability Analysis)
* Currency conversion, inter-company eliminations(Financial consolidations) Incorrect answers:
A: Aggregate Storage: When loading data into an aggregate storage database, you can replace the contents of the database or the contents of all incremental data slices in the database.
C: Aggregate Storage: Architecture that supports rapid aggregation, optimized to support high dimensionality and sparse data
D: ASO cubes are designed to provide rapid aggregation capabilities for much larger Essbase outlines, typically supporting many more (and larger) dimensions.
Note: Aggregate storage databases enable dramatic improvements in both database aggregation time and dimensional scalability. The aggregate storage kernel is an alternative to the block storage kernel.
Aggregate storage databases typically address read-only, "rack and stack" applications that have large dimensionality, such as the following applications:
Customer analysis. Data is analyzed from any dimension, and there are potentially millions of customers.
Procurement analysis. Many products are tracked across many vendors.
Logistics analysis. Near real-time updates of product shipments are provided.