Data Warehousing An Overview : Data Warehousing An Overview www.keysoft.co.in Copyright Keysoft Solutions
Challenges : Challenges
Users with different needs
Performance and speed
Multiple data sources
Diverse platforms and security systems
Global deployment, multilingual support
Many technologies deployed www.keysoft.co.in Copyright Keysoft Solutions
Top Reasons Organizations Buy Business Intelligence : Top Reasons Organizations Buy Business Intelligence
Respond to users need for data on timely basis
Speed / Improve decision-making ability
Decrease cost / Improve operational efficiency
Better alignment with corporate strategy and objectives
Increase revenue
Share information with customers / suppliers / partners Source: Gartner Multi-Client Study Nov 2006 www.keysoft.co.in Copyright Keysoft Solutions
Business Intelligence : Business Intelligence Definition DATA WAREHOUSE ANALYTICAL REPORTING DATA MINING BUSINESS INTELLIGENCE Business Intelligence (BI) is the gathering and analysis of vast amounts of data in order to gain insights that drive strategic and tactical business decisions. It encompasses a broad category of technologies, that allow business users to gather, store, access, and analyze data to improve the business decision-making capabilities. BI is the collection of the processes and technologies which transform data into information www.keysoft.co.in Copyright Keysoft Solutions
Data Warehouse : Data Warehouse Definition
A data warehouse is a centralized repository containing comprehensive detailed and summary data that provides a complete view of customers, suppliers, business processes, and transactions, from a historical perspective with little volatility.
Process www.keysoft.co.in Copyright Keysoft Solutions
Data Mart : Data Mart
Data Mart
Contains a subset of the data stored in the data warehouse that is of interest to a specific business community, department, or set of users (for example: marketing promotions, finance, or account collections)
In a well structured BI system, the data warehouse serves as a single source for multiple data marts
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DW Short Term Goals : DW Short Term Goals Improve data quality
Minimize inconsistent reports
Capture and provide access to business metadata
Provide capability for data sharing
Integrate data from multiple sources
Merge historical and current data appropriately
Improve the speed and performance of all reporting needs www.keysoft.co.in Copyright Keysoft Solutions
DW Long Term Objectives : DW Long Term Objectives Reconcile varying views of data
Provide consolidated view of enterprise data
Create a central point for accessing and sharing analytical data
Develop an enterprise approach to business intelligence and reporting DW Methodology “DW is built in iterations – not in “one big bang”
Parallel development tracks (ETL, delivery, metadata, infrastructure) www.keysoft.co.in Copyright Keysoft Solutions
DWH Process : DWH Process www.keysoft.co.in Copyright Keysoft Solutions
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