Mappings in OLAP using AWM

Hi,
I have a small problem while mapping table columns with dimension levels in olap using analytical workspace manager(AWM).
I have these levels
Item Level,Category,Sub Category,Finance Type,Finance Product.
I have these columns
inventory_item_id,item_description,segment1,segment2,segment3 and segment4
i'm mapping as follows:-
inventory_item_id to Item Level Member,
item_description to Item Level Short Description
segment1 to Category Member (as we should not leave this item unmapping)
segment1 to Category Short Description,
segment2 to Sub Category Member(as we should not leave this item unmapping),
segment2 to Sub Category Short Description ,
to my knowledge i think(not sure how much i'm correct) we need to map only number datatype columns to Member items and character datatype columns to Short description items.
For my segment columns there are no ids and all the segment columns are character type but segment1 becomes parent for seg2 ,Seg2 is parent of Seg3...etc.
Will i get into any problem if i use the mappings as above or there is any other way to map these columns.
Thanking You,
Kumar P.

Your dimension members don't need to be numbers. You measures probably should be numbers. Keith has said before that the shorter the dimension member keys, the faster OLAP will run. This includes picking short names for the levels for your dimensions. Since your dimension level names probably are not numbers, and the dimension values are concatenated with the level name, you can rest assured that your dimension members can be strings.

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    BUILD_ID SLAVE_NUMBER STATUS COMMAND
    BUILD_OBJECT BUILD_OBJE
    OUTPUT
    AW OWNER
    PARTITION
    SCHEDULER_JOB
    TIME
    BUILD_SCRIPT
    BUILD_TYPE COMMAND_DEPTH BUILD_SUB_OBJECT R SEQ_NUMBER
    COMMAND_NUMBER IN_BRANCH COMMAND_STATUS_NUMBER
    BUILD_NAME
    288 rows selected.

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