Building Making It Happen
Establishing Making-it-Happen as ‘Formal & Measurable’ Business Discipline
  Sign-in         Register
    
   Feedback loop of Cascading Business Intelligence Metadata Model  

Execution-MiH Encyclopedia  →   Enterprise Intelligence  →  SECTION -  BI End-to-End  →  CHAPTER -  BI Architecture Components  → 

BI & Data Warehouse- End User Tools

End User tools include tools for managing reporting, analytics, Data Mining, Performance and Decision Modeling.

End User Tools sit over the Data Warehouse/Staging/OLAP (Refer BI Architecture Scenarios), to provide various capabilities for using the information.

Enterprise Reporting Tools

Production Queries and Reports are mostly schedule reports containing transaction level details. There are standard tools (like Crystal) for this purpose. These reporting tools provide an environment to create, produce and distribute reports as well as facility to run ad-hoc detailed queries.

Analytic Applications

Analytic applications undertake slice-dicing, drill up/down, navigation across dimensions and measures, time trending analysis, exceptions, max-min analysis and in many cases what-if analysis as well. It provides many features related to data visualization/presentation and distribution. These analytics are done using the analysis functions within the analytics applications or using the calculation functions available within OLAP.

Data Mining Tools

Data mining tools enable us to discover knowledge and patterns, which we cannot do in analytics application . Data mining tools self discover the information.

Performance Management Tools

Performance Management tools have the dashboard managers and allow you to create scorecards.The Performance Management goes beyond scorecards. Performance Management tools help you to create strategy, set-up targets, Performance Measures & standards.

Decision Modeling Tools

These systems allow you to build business models and use the information as an input. For example you can have a risk profiling system, where you have build models to assess the risk of a Customer. Data-Warehouse (OR mart) could provide the single view Customer information to this system.

 

   Feedback loop of Cascading Business Intelligence Metadata Model  
 
All Topics in: "BI Architecture Components" Chapter
 BI Data Warehouse Source System →  Data Warehouse BI Staging Area →  De-normalized DW- Data Warehouse vs. Data mart →  OLAP Server Layer and capabilities- Why is OLAP needed? →  ODS- Operational Data Store →  BI & Data Warehouse- End User Tools →  Business Intelligence Metadata Model → 
 
Relevant Links to this page
TOPIC - Business Intelligence Metadata Management and Program → 

Was this page helpful?
If you like it ? share it !
Digg
Digg
Reddit
Reddit
Del.icio.us
Delicious
Google
Google
Live
Live
Facebook
Facebook
Slashdot
Slashdot
Netscape
Netscape
Technorati
Technorati
Stumbleupon
Stumbleupon
Spurl
Spurl
Furl
Furl
Blogmarks
Blogmarks
Yahoo
Yahoo
Plugim
Plugim
Squidoo
Squidoo
BlinkBits
BlinkBits
 
CONTENT ZONE
BI End-to-End

Featured Pages
Data Monitoring Checklist
Data Mart + Fact Table Grain Matrix
OLAP + Data Warehouse Design Phase
Data Quality Policy

Make 'Executable' Strategy
Maximize Results
Maximize People
Manage Execution

Featured Pages
Data Quality Gap Impact Assessment
Data Warehouse BI Staging Area
Data Warehouse Implementation Deployment
Time-stamp in the Fact Table