1. CS2032 DATA WAREHOUSING AND DATA MINING
UNIT II BUSINESS ANALYSIS

2. Contents Reporting and Query tools and Applications
Tool Categories
The Need for Applications
Cognos Impromptu
Online Analytical Processing (OLAP)
Need –Multidimensional Data Model
OLAP Guidelines
Multidimensional versus Multirelational OLAP
Categories of Tools
OLAP Tools and the Internet

3. Reporting and Query Tools and Applications
Tool Categories
Reporting Tools
Managed Query Tools
Executive Information System Tools
OLAP Tools
Data Mining Tools
The Need for Applications
Cognos Impromtu
Applications
PowerBuilder
Forte
Information Builder

4. Reporting Tools Production Reporting Tools Desktop Report Writers
Let companies generate regular operational reports
Support high volume batch jobs
Calculating and Printing Paychecks(3GL)
COBOL, Information Builders, Inc.’s Focus(4GL)
MITI’s SQR(High-end Client/Server Tools)
Desktop Report Writers
Let users design and run reports
Graphical Interfaces and Built-in charting functions
Crystal Reports, Actuate Reporting System, IQ objects

5. Managed Query Tools
Shield end users from the complexities of SQL and database structures
Meta layer
Support asynchronous query execution
Integrate with web servers
Embed OLAP and Data Mining Features

6. Executive Information System Tools
Predate report writers and managed query tools
First deployed on Mainframes
Allow to build customized, graphical decision support applications
Gives managers and executives a high level view of business and access to external sources
Eg: Pilot Software, Forest and Trees, Comshare, Oracle’s Express Analyzer

7. OLAP Tools Provide and intuitive way to view corporate data
Aggregate data along common business objects
Users can drill down, across, or up levels in each dimension

8. Data Mining Tools
User variety of statistical and artificial-intelligence algorithms
Analyze the correlation of variables in the data and ferret out interesting patterns and relationships to investigate
Example
IBM’s Intelligent Miner
DataMind
Pilot’s Discovery Server
Offers simple UI’s – plug in directly to existing OLAP

9. The Need for Applications
Access Types to the data
Simple tabular from reporting
Ad hoc user-specified queries
Predefined repeatable queries
Complex queries
Ranking
Multivariable analysis
Time series analysis
Data visualization, graphing, charting, and pivoting
Complex textual search
Statistical analysis

10. Cognos Impromptu Overview The impromptu Information Catalog
Object-oriented architecture
Reporting
Impromptu Request Server
Supported Databases

11. Cognos Impromtu: Overview
Enterprise solution for interactive database reporting
Object oriented architecture
Ensures control and administrative consistency across all users and reports
GUI
Database reporting tool
Supports single user reporting / multi users reporting

12. Cognos Impromtu: Information Catalog
LAN based repository of business knowledge and data access rules
Insulates users from db technical aspects
Protects database
Presents the database in a easy way
Administrators are free to organize database items

13. Cognos Impromtu: OO Architecture
Drives inheritance based administration and distributed catalogs
Governors
Activities of Governors
Query activity
Processing location
Database connections
Reporting permissions
User profiles
Client/Server Balancing
Database Transactions
Security by value
Filed and table security

14. Cognos Impromtu: Reporting
Picklists and prompts
Custom templates
Exception reporting
Conditional filters
Conditional highlighting
Conditional display
Interactive reporting
Frames
List frame
Form frame
Cross-tab frame
Chart frame
Text Frame
Picture Frame
OLE Frame

15. Cognos Impromtu: Request Server
Allows client to off-load the query process to the server
Scheduling regular and recurring standard reports
Reducing network traffic
Runs on HP/UX 9.X, IBM AIX 4.X, Sun Solaris 2.4
Support data maintain in ORACLE 7.x and SYBASE System 10/11

16. On-Line Analytical Processing(OLAP)(1)
Need for OLAP
Multidimensional Data Model
OLAP Guidelines
Multidimensional versus Multirelational OLAP
Categorization of OLAP Tools
MOLAP
ROLAP
Managed Query Environment(MQE)

17. On-Line Analytical Processing(OLAP)(2)
State of the Market
Cognos PowerPlay
IBI FOCUS Fusion
Pilot Software
OLAP Tools and the Internet

18. OLAP

19. OLAP

20. Multidimensional Data Model
Viewing data as in a cube

21. OLAP Guidelines Multidimensional conceptual view Transparency
Accessibility
Consistent reporting performance
Client/server architecture
Generic dimensionality
Dynamic sparse matrix handling
Multiuser support
Unrestricted cross-dimensional operations

22. Categorization of OLAP Tools
MOLAP
ROLAP

23. MOLAP

24. ROLAP

25. State of the Market
Cognos PowerPlay
IBI FOCUS Fusion
Pilot Software

26. OLAP Tools and the Internet

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