On-line analytical processing (OLAP) is clearly a new approach
to information system technology--offering a much-needed way to
make informed decisions better and faster. One of its most
important characteristics is multidimensional analysis--analysis
that goes beyond the conventional two-dimensional analysis and
provides users with rapid retrieval of data from organizational
databases, data warehouses, or both. Not only that, but most
importantly, says Dr. Thierauf, it allows users to look at
different dimensions of the same data, thus enabling them to do
analyses across departmental and even corporate boundaries. How it
works and OLAP's many benefits to aid users in the public and
private sectors is spelled out here, comprehensively yet concisely,
and with the author's customary well-developed examples and clear
prose. His book will be important reading for people at all levels
of management and in all types of organizations.
Another way of viewing OLAP is getting a typical company out of
the custom-report-writing business and into the data-cube-server
building business. An OLAP data structure can be thought of as a
Rubik's Cube of data that users can twist and twirl in different
ways to work through what-if and what-happened scenerios to get at
the "whys" of the situation. Within an OLAP environment, the focus
is on performing dictionary definition and maintenance as well as
mapping flat files or relational columns to dimensions and
measures. Although this may sound like a lot of work, managing one
data cube is more efficient than writing a number of custom
reports. Currently, some vendors provide administrative tools to
get the data into the cubes in the first place, in the proper form,
and on a regular basis. Hence, the job of managing data has been
simplified for users.
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