If you want to create new worksheets and analyze data from both
relational and multi-dimensional data sources across the Web, you will
use Discoverer Plus if you want to create new worksheets and analyze
data from relational data sources using a Windows application on a PC,
you will use Discoverer Desktop
if you want to analyze data in
existing worksheets, you will use Discoverer Viewer or Discoverer
portlets (that have been added to an Oracle Portal page using Discoverer
Portlet Provider)
: If you want to display
Discoverer worksheets as gauges in dashboard-style portals, you will use
Discoverer Portlet Provider and Discoverer portlets if you want to
manage the end user view of relational data, you will use Discoverer
Administrator
Oracle BI Discoverer’s
powerful and intuitive user interface enables you to: find data that
you know is in the database access data quickly without waiting for the
computer to search through the entire database
view data in a
familiar spreadsheet-style format that is easy to read and understand
analyze data using a variety of powerful techniques including: drilling
up and down through data finding data that meets certain conditions or
that falls within ranges that you specify sorting data prepare
reports showing the results of your analysis share data with other
people, and in other applications (e.g. Microsoft Excel)
Your ultimate goal in using OracleBI Discoverer is to analyze data to arrive at a profitable business decision
Which telephone lines need greater bandwidth?
pivoting
data to create comparisons drilling up and down in data to see
consolidated or more detailed information drilling out to analyze data
in other applications creating totals, calculating percentages, and
creating custom calculations displaying data visually in graphs and
charts
A business area is a collection of related
information in the database. The Discoverer manager works with the
different departments in your organization to identify the information
that each department requires from the database. A folder is similar to a
database table or view. Indeed, a folder can be based directly on a
database table or view an item is similar to a column in a database
table.
In a relational data source, data is organized
in tables. A table is a data structure with columns and rows.
Multidimensional data is data that is organized by one or more
dimensions. These multidimensional data structures are often referred to
as cubes.
A cube in a multidimensional data source has the following components:
A
measure, which is the name given to the data itself; that is, to the
data that you track such as sales figures or cost numbers.
One
or more dimensions. Dimension is the name given to the parts of the
cube that categorize the data, such as Product, Geography, and Time.
Dimensions have dimension members, dimension hierarchies, and
attributes.
In OLAP metadata, measures represent data that can be examined and analyzed in crosstabs and graphs.
The
Discoverer Catalog is a repository for storing and retrieving
definitions of objects for Discoverer Plus OLAP and can be used by
applications that are built with Oracle Business Intelligence Beans (BI
Beans). With Discoverer Plus OLAP, you use the Catalog to store objects
such as workbooks, calculations, and saved selections and to share
objects with others who have access to the Catalog. For example, you can
use a BI Beans application to create a graph and store it in the
Catalog. If another user has appropriate access, that user can retrieve
the graph that you stored in the Catalog and insert the graph into a new
worksheet in Discoverer Plus OLAP.
You can maximize Discoverer performance.
use tabular reports rather than cross-tabular reports
minimize the number of page items in reports
avoid wide cross tabular report
avoid creating reports that return tens of thousands of rows
provide parameters to reduce the amount of data produced
minimize the number of worksheets in workbooks
remove extraneous worksheets from workbooks
