Hi there
I have been handed a DW project and I am struggling to implement the theories into practice. Here is the problem:
Background
==========
I work for a telecoms company that tracks the users of their mobile phones. Each account has multiple mobile phone numbers (MPN) and each MPN has attributes such as GPRS tariff, voice tariff, etc.
Each month we bill each customer on their respective MPNs and there is a percentage of customers who do not use their phone (keep in a glove box for emergencies only for example). We need to report on these Non-Usage MPNs.
REQUIREMENTS
============
1. I need to be able to report a count of all mobile numbers based on sales location, type of voice tariff, mobile network etc.
2. I also need to be able to report on all mobile numbers that did not have a bill one particular month (it is billed monthly) and all the dimension attributes from the first one apply along with another one called 'reason' and this would be logged against the MPN such as 'Pay as You Go mobile'.
3. I also need to be able to report on how many customers have MPN that have either i) some MPNs that are not being used and ii) that have ALL MPNs that are not being used.
And last but not least (this is the toughie):
4. I need to be able to report on MPNs that connected on date X and that did were not being used XX days later.
I am thinking that I will be needing 4 fact tables with shared attribute(dimension) tables. I also think that the list I get of all MPNs will be a (very large) dimension table.
I also think that I will need a snapshot fact table that lists Non-Usage numbers (do i need the aggregate or a list of all the individual MPNs on a given snapshot date. i am thinking the latter because of number 4)
Please can someone shed a light on this problem as the pressure is on to get something physical made to show-off to the business and I am far from a solution (eek!)
Many thanks in advance
Adi
Data Warehousing Guinea Pig
I have been handed a DW project and I am struggling to implement the theories into practice. Here is the problem:
Background
==========
I work for a telecoms company that tracks the users of their mobile phones. Each account has multiple mobile phone numbers (MPN) and each MPN has attributes such as GPRS tariff, voice tariff, etc.
Each month we bill each customer on their respective MPNs and there is a percentage of customers who do not use their phone (keep in a glove box for emergencies only for example). We need to report on these Non-Usage MPNs.
REQUIREMENTS
============
1. I need to be able to report a count of all mobile numbers based on sales location, type of voice tariff, mobile network etc.
2. I also need to be able to report on all mobile numbers that did not have a bill one particular month (it is billed monthly) and all the dimension attributes from the first one apply along with another one called 'reason' and this would be logged against the MPN such as 'Pay as You Go mobile'.
3. I also need to be able to report on how many customers have MPN that have either i) some MPNs that are not being used and ii) that have ALL MPNs that are not being used.
And last but not least (this is the toughie):
4. I need to be able to report on MPNs that connected on date X and that did were not being used XX days later.
I am thinking that I will be needing 4 fact tables with shared attribute(dimension) tables. I also think that the list I get of all MPNs will be a (very large) dimension table.
I also think that I will need a snapshot fact table that lists Non-Usage numbers (do i need the aggregate or a list of all the individual MPNs on a given snapshot date. i am thinking the latter because of number 4)
Please can someone shed a light on this problem as the pressure is on to get something physical made to show-off to the business and I am far from a solution (eek!)
Many thanks in advance
Adi
Data Warehousing Guinea Pig