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What is OLAP
OLAP or On Line Analytical Processing is the formal name of multidimensional
analysis - another way to look at information intuitively.
With OLAP you
can look at a set of corporate data in many different ways without much effort.
OLAP files or cubes are model the data in dimensions. A dimension is the
classification of some activity in an organization with which you can measure
your success.. For example, you can track your sales data against product or
customer in a period of time.
There are two kinds of dimensions that you
can use, regular dimensions and measures dimensions.
Regular
dimensions are the items of data that you want to measure, for example, if
you want to keep control of sales you can use:
Customers: Which one are
my best buyers, where are they located, what do they buy?
Products:
Regarding customers, what my customers are buying? which products are
hot?
Time, where do I stand now with respect to last year or last
month?
In another application, account receivable you can use dimensions
like Time to track the due date of documents, in accounting you can use
dimensions like charts of accounts, cost center, etc..
Measures
dimensions are the numbers that appear in the analysis depending on the
elements chosen from the regular dimensions. For example in a sales cube, we
would want to track Revenue, cost, units sold, discounts, etc..
Once you
have this data, you put it on a highly sophisticated structure called
multidimensional cube. A cube can reside in a specialized database like
Microsoft Analysis Services or as a standalone file. This cube will let you look
at your information in any way you like. You are able to cross all the
dimensions to obtain new information which will answer the questions you are
looking and enable you to make better decisions.
There are two basic
operations that you can do with an OLAP cube:
Slicing and Dicing:
You can change the dimensions that you are looking at to have another view of
data. For example, Sales by product can be changed very easy to Sales by
salesman. Slicing is to change the value of a dimension for another value,
change from sales of January to sales of February. Dicing is like throwing a
dice and look at a new face of the cube.
Drilling: Data items can
be drilled down to get more information. If you look at geographical data, you
can drill down from a region to a country and then to a city and then to a
customer to look at information at greater detail.
This simply
combination of features unlocks corporate or business information to all
decision makers in many unforeseen ways.
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