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Business intelligence

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Freelance
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computer...
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Manyu D.
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documents in English
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.ppt
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presentations
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47 slides
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  1. Introduction
  2. Business intelligence services
  3. The definition of business intelligence systems
  4. Features of business intelligence systems
  5. Date warehouse tool evaluation
  6. Consolidation, organization and standardization
  7. Applications area of OLAP
  8. OLAP role in BSC and CPM(corporate performance measurement)
  9. General features of OLAP
  10. Datamining
  11. Application areas
  12. Business values of BI
  13. Data mart vs. the data warehouse
  14. Companies which offer Business Intelligence Products
  15. IT support for business intelligence
  16. Bibliography

This presentation tells about business intelligence. It begins with evolution of BI, tools used and a pictorial representation of its services. It then moves on to a precise definition of Business Intelligence warehousing concept and its features. Next it explains data warehouse tool evaluation, OLAP and its role in activity based costing (ACB), balance score card(BSC) and corporate performance measurement (CPM). It further explains the general features of OLAP, data mining, its application and business values of BI. There is also a brief discussion on how a company benefits from business intelligence (BI) and a small introduction about Business Intelligence software and which companies offer BI products. Next topic explains how IT (Information Technology) supports for BI and concludes with data warehouse tool evaluation and costs.

[...] BI implies yet more integration and ease of use Business Intelligence services Business Intelligence Definition : BI is a broad category of applications and technologies for gathering,storing,analyzing and providing access to data to help enterprise users make better business decisions What are Business Intelligence Systems? Introducing Business Intelligence BI focuses on the and should be seen as a company's unit, scanning the external environment for opportunities and dangers Warehousing One or more copies of transaction and non transaction data that have been transformed in such a way that they are suitable for querying, reporting and other data analysis Features Memory of organization Time dimension Uniformity Not changeable (data) Handles large amount of data useful for critical decision Bigger More consistent Cheap method to store Provides access to reliable, consistent and high quality information Data is always available Data Warehouse Tool Evaluation Server Operating System Database Engine Extract, Transform and Load Business Intelligence Data Warehouse Tool Evaluation Linux Windows NT Server Windows 2000 Server Windows 2000 Advanced Server Data Warehouse Tool Evaluation Oracle IBM DB2 Microsoft SQL Server Extract, transform and load(ETL) 60-80% of BI project effort in this process Extraction from various sources(External or internal data) Transformation involves, conversion such as EBCDIC to ASCII, packed decimal to integer and changes to date formats (e.g. [...]


[...] Business values of BI Improved decision making at all levels Improved business processes More collaborative work environment Increased revenues, total grip on cash flow, reduced costs Decreased reaction time Instant view on which products, customers and markets are most profitable Improved customer satisfaction Monitors external business behavior Fast monitoring Better insight in markets,suppliers,competitors and technology Tracing opportunities Complete end to end information More transparent and calm supply chain Fraud detection with OLAP No guess work, decisions are based on solid evidence Helps in forecasting Technologies Computer system Software to control access to warehouse for different levels Data retention capacity (warehouse) Special software to gather and analyze large quantities of unstructured data such as sales statistics, production metrics,attendence reports Some BI applications are used to analyze performance, projects or internal operations such as business process re-engineering, enterprise management system, executive information system,SCM To store and analyze data tool is ?datamining?, datawarehouse,DSS,MIS,OLAP Other tools are used to analyze and manage?human?side of business such as CRM,HR etc BUSINESS INTELLIGENCE How a company benefits from business intelligence They used to print 1,000 page reports for each salesperson Now salespeople get the information they want from company's intranet Company's BI system paid for itself in 9 months Most data marts are application specific. [...]


[...] Introducing Business Intelligence BI focuses on the and should be seen as a company's unit, scanning the external environment for opportunities and dangers Warehousing One or more copies of transaction and non transaction data that have been transformed in such a way that they are suitable for querying, reporting and other data analysis Features Memory of organization Time dimension Uniformity Not changeable (data) Handles large amount of data useful for critical decision Bigger More consistent Cheap method to store Provides access to reliable, consistent and high quality information Data is always available Data Warehouse Tool Evaluation Server Operating System Database Engine Extract, Transform and Load Business Intelligence Data Warehouse Tool Evaluation Linux Windows NT Server Windows 2000 Server Windows 2000 Advanced Server Data Warehouse Tool Evaluation Oracle IBM DB2 Microsoft SQL Server Extract, transform and load(ETL) 60-80% of BI project effort in this process Extraction from various sources(External or internal data) Transformation involves, conversion such as EBCDIC to ASCII, packed decimal to integer and changes to date formats (e.g. [...]

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