I have a fact table and employee "tier" table, let's say.
So the fact table looks sorta like
employee_id call date
Mark 1 1-1-2017
Mark 2 1-2-2017
John 3 1-2-2017
Then there needs to be a data structure for 'tier level' - a slowly changing dimension table. I want to keep this simple -- I can change the structure of this table to whatever, but for now I've created it as such.
employee_id tier1_start ... tier2_start ... tier3_start
Mark 5-1-2016
John 6-1-2016 8-1-2016
Lucy 6-1-2016 10-1-2016
Two important notes. This table sort of operates under the assumption that a promotion will only occur once - aka no demotions and repromotions will occur. Also, it's possible one can jump from tier 1 to tier 3.
I was trying to come up with the best possible query for coming up with a 'tier' dimension (denormalization) for the fact table.
For instance, I want to see the Tier 1 metrics for February, or the Tier 2 metrics for February. Obviously the historically-changing tier dimension must be linked.
The clumsiest way I can think of doing this for now ... is simply joining the fact table on the tier table using employee_id.
Then, doing an even clumsier case statement:
case
when isnull(tier3_start,'0') < date then 'T3'
when isnull(tier2_start, '0') < date then 'T2'
when isnull(tier1_start, '0') < date then 'T1'
else 'other'
end as tier_level
Yes, as you can see this is very clumsy. I'm thinking maybe I need to change the structure of this a bit.
You're probably better off splitting your tier table in two.
So have a Tier table like this:
TierID Tier
------------------
1 Tier 1
2 Tier 2
3 Tier 3
And an EmployeeTier table:
ID EmpID TierID TierDate
---------------------------------------
1 1 1 Jun 1, 2016
2 1 3 Oct 2, 2016
3 2 1 Jul 10, 2016
4 2 2 Nov 11, 2016
Now you can query the EmployeeTier table and filter on the TierID you're looking for.
This also gives you the ability to promote/demote multiple times. You simply filter by the employee and sort by date to find the current tier.
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