Skip to main content

Posts

Showing posts from April, 2016

Combining information in a data warehouse

We are looking at how best to store data so that we can map trends over months and years, in what is known as a data warehouse .   We do have some digital records already, for example we can looks at trends in student numbers for over a decade.  With more and more processes online, the University administration want to look at trends over a wider range of data, and to ask questions of data that go beyond the individual administration units.  This is not trivial, especially as we don't know which questions people will want to ask in the future.  We need a flexible data model that allows reports to link data that was taken from more than one operational system.  For example, a question about the cost of running any particular course would need to know about the cost of the rooms used, the staff, library materials, any special equipment, and so on. We have looked at a number of ways of tackling this problem.  The approach we are now proposing  is to have two levels in our data