Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.
Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.
Lost your password? Please enter your email address. You will receive a link and will create a new password via email.
Please briefly explain why you feel this question should be reported.
Please briefly explain why you feel this answer should be reported.
Please briefly explain why you feel this user should be reported.
A simple cube has 1 measure and three time dimensions:
Earned Premium =
0% if Cover Start Date is before the period in question
100% if Cover End Date has passed
else [Cover End – Cover Start] * Days Since Start
For any given cell, how do I traverse all the start and end dates and determine what the amount earned for a period is?
I assume other dimension are missing, e.g. one like [ContractId], if no what comes after doesn’t make real sense.
The problem here is that your actual measure,earned premium, is a function (Amount Paid, Cover Start Date, Cover End Date, date) and this for each deal. You can not aggregate over a set of deals at once as the function is not associative – or something like this :-).
So I would feed my cube with the premium for each deal over the period [Cover Start Date], [Cover End Date] with the daily premium for this contract. Once you’ve this you can easily aggregate this measure over your dimensions. -> Now daily premium is not anymore a function of Cover dates..
MDX is not a real calculation engine, so you’re pushing the system out of it’s limit. Solving this with scopes, calculated measures can produce an amazingly slow cube…