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Oracle® Business Intelligence Concepts Guide
10g Release 2 (10.1.2.1)
B16378-01
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Index

A  B  C  D  E  F  G  H  I  J  L  M  N  O  P  R  S  T  V  W  X 

Numerics

3NF (third normal form), 2.2.1, 2.3.1

A

Add-Ins
for OLAP, 2.6.3
for predictive analytics, 2.6.4
addresses
cleansing, 2.1.2
aggregation
OLAP and relational, 2.4.3.2
Analytic Workspace Manager, 1.1.4.1, 2.3.3, 2.4.2, 3.2, 3.2.2
analytic workspaces, 2.3.3, 2.4.2, 3.2.2
anomaly detection data mining function, 2.5
application development tools, 1.1.4.4, 2.7
association model data mining function, 2.5
attribute importance data mining function, 1.2.2.4, 2.5
attributes
OLAP, 3.2.2.1
relational, 2.3.1
automatic summary management, 2.4.3.2

B

BI Beans
see OracleBI Beans
bursting, 1.3.6
business areas, 3.3.2.1
business intelligence
defined, 1.1
steps for implementing, 3.1.1

C

calculations
OLAP and relational, 2.4.3.3
classification data mining function, 2.5
cleansing names and addresses, 2.1.2
clustering data mining function, 2.5
conditional formatting, 1.2.1.2
cubes, 2.3.3, 3.2.2.1

D

dashboards, 1.3.1, 2.8.1
data
cleansing, 2.1.2
consolidating, 2.1
ETL, 2.1.2
filtering, 1.2.2.1
mapping source to target, 2.1.2, 2.1.2
models for BI, 2.2
operational, 2.1.1.1
pivoting, 1.2.2.3
processing mappings, 2.1.2
sources, 2.1.1
transactional, 2.1.1.1
transformation, 2.1.2
data marts, 2.3.2
data mining
data structure for, 2.3.4
functions, 2.5
in Excel, 2.6.4
data structures, 2.3
data warehouses
and business intelligence, 1.1.2
building, 2.1
defined, 1.1.2
data-driven formatting, 1.2.1.2
DB2 data, 2.1.1.1
development tools, 2.7
dimensional data model, 2.2.2
dimensions, 3.2.2.1
defined, 2.2.2.2
Discoverer
see OracleBI Discoverer
distributing reports, 1.3.6
drilling, 2.4.3.1
example, 1.2.2.2

E

e-mail
ETL notifications, 2.1.2
reports, 1.3.6, 2.8.2
ETL (extraction, transformation, and loading), 2.1.2
EUL (End User Layer), 2.4.1, 3.3.2.1
Excel, 1.3.3
data mining in, 1.3.3.2, 2.6.4
exporting to, 1.3.3.1
OLAP data in, 1.3.3.2, 2.6.3
exception data, 1.2.2.1
external data, 2.1.1.2

F

facts, 2.2.2.1
feature extraction data mining function, 2.5
financial statements, 2.6.1
forecasting, 1.2.3.2
form letters, 2.6.1
formatting
conditional, 1.2.1.2
report components, 1.2.5
stoplight, 1.2.1.2
FTP, 2.1.2

G

gauges
example, 1.2.1.1
portlet for, 2.8.1
graphs
drilling, 1.2.2.2
examples, 1.2.1.3

H

hierarchies
defined, 2.2.2.3
OLAP, 3.2.2.1
OLAP and relational, 2.4.3.1

I

Informix data, 2.1.1.1
interactive reports, 1.2.2.3, 1.3.2, 2.8.2
invoices, 2.6.1

J

Java beans, 2.7
JSPs (Java Server Pages), 2.7

L

layout
changing, 1.2.2.3
levels, 2.2.2.4, 3.2.2.1

M

mainframe data, 2.1.1.1
Mapping Editor in OracleBI Warehouse Builder, 2.1.2
mapping source data, 2.1.2
market basket analysis, 1.2.4.3, 2.5
measures, 2.2.2.1
metadata
differences between OLAP and relational, 2.4.3
OLAP, 2.4.2
relational, 2.4.1
models for forecasting, 1.2.3.2
moving averages, 1.2.3.1

N

names
cleansing, 2.1.2

O

ODBC data, 2.1.1.1
OLAP (online analytical processing), 1.1.2
attributes, 3.2.2.1
cubes, 3.2.2.1
metadata, 2.4.2
OLAP Catalog, 2.4.2
OLTP (online transaction processing), 2.2.1
Oracle Application Server, 2.8.1
Oracle Application Server Reports Services, 1.1.4.3
Oracle Business Intelligence
components, 1.1.4
packaging, A.1
Oracle Business Intelligence Tools
packaging, A.2
Oracle Data Miner, 1.1.4.2, 2.5
Oracle Data Mining, 2.5
data mining functions, 2.5
in Excel, 2.6.4
Oracle Database, 2.1.1.1
Oracle Reports, 1.1.4.2
described, 2.6.1
output options, 2.8.3
Oracle Spreadsheet Add-In for Predictive Analytics, 1.1.4.2, 1.3.3.2, 2.6.4
Oracle Transparent Gateways, 2.1.1.1
OracleAS Portal, 1.3.1, 2.8.1
OracleBI Beans, 1.1.4.4, 2.7
OracleBI Discoverer Administrator, 1.1.4.1, 2.4.1
OracleBI Discoverer example, 3.3
OracleBI Discoverer Plus, 1.1.4.2, 2.6.2
OracleBI Discoverer Portlet Provider, 1.1.4.3, 2.8.1
OracleBI Discoverer Viewer, 1.1.4.3, 1.3.2
described, 2.8.2
OracleBI Spreadsheet Add-In, 1.1.4.2, 1.1.4.2, 1.3.3.2, 2.6.3
OracleBI Warehouse Builder, 1.1.4.1, 2.1
Mapping Editor, 2.1.2

P

performance, 2.4.3.1, 2.4.3.3, 2.4.3.3
aggregation, 2.4.3.2
pluggable data sources in Oracle Reports, 2.6.1
Portlet Provider
see OracleBI Discoverer Portlet Provider
portlets, 1.1.4.3
predictive analysis, 1.2.4.2, 1.2.4.2
printing reports, 1.3.4
process flows in OracleBI Warehouse Builder, 2.1.2

R

ranking data, 1.2.1.4
regression data mining function, 2.5
reports, 1.2.4.2
available formats, 1.2.5
bursting, 1.3.6
conditional formatting, 1.2.1.2
dashboards, 1.3.1, 2.8.1
distributing, 1.3.6
drilling, 1.2.2.2, 1.2.2.2
e-mailing, 1.3.6, 2.8.2, 2.8.3
filtering data, 1.2.2.1
forecasts, 1.2.3.2
gauges, 1.2.1.1, 2.8.1
graphs, 1.2.1.3
in Excel, 1.3.3
interactive, 1.2.2.2, 1.2.2.2, 1.2.2.3, 1.3.2, 2.8.2
market basket analysis, 1.2.4.3, 2.5
models, 1.2.3.2
moving averages, 1.2.3.1
performance, 2.4.3.3
predicting customer behavior, 1.2.2.4
printing, 1.3.4, 2.8.3
publishing in XML, 1.3.5
ranking data, 1.2.1.4
scheduling, 1.3.6
sharing, 1.3
sorting data, 1.2.1.4
stoplight formatting, 1.2.1.2
tools for creating, 2.6
trend analysis, 1.2.3.1
what-if analysis, 1.2.4.1
Reports Builder, 2.6.1

S

SAP data, 2.1.1.1
scheduling reports, 1.3.6
share calculations, 2.4.3.1, 2.4.3.3
shipping labels, 2.6.1
sorting data, 1.2.1.4
source data, 2.1.1
mapping to target data, 2.1.2
Spreadsheet Add-Ins
for predictive analytics, 2.6.4
spreadsheets, 1.3.3, 2.6.3, 2.6.4
SQL Server data, 2.1.1.1
star schemas
described, 2.3.2
OLAP metadata, 2.4.2
statistical functions in Oracle Database, 1.1.3
stoplight formatting, 1.2.1.2
summarization
OLAP and relational, 2.4.3.2
Sybase data, 2.1.1.1

T

target data
mapping to source, 2.1.2
third normal form, 2.2.1, 2.3.1
time-series analysis, 2.4.3.1, 2.4.3.3
transactional data, 1.1.1
data model, 2.2.1
trend analysis, 1.2.3.1

V

Viewer
see OracleBI Discoverer Viewer

W

Warehouse Builder
see OracleBI Warehouse Builder
Web servers, 2.7, 2.8.1
what-if analysis, 1.2.4.1
worksheets, 2.6.2

X

XML
publishing reports, 1.3.5