Data Warehousing An Overview www.keysoft.co.in Copyright Keysoft Solutions

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

Users with different needs

Performance and speed

Multiple data sources

Diverse platforms and security systems

Global deployment, multilingual support

Many technologies deployed

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

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

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

Definition

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 Source Source TARGET EXTRACT LOAD Extraction Integration Data Cleansing Data Scrubbing Transformation Transform

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.

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 www.keysoft.co.in Copyright Keysoft Solutions

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

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

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

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

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 is built in iterations – not in “one big bang”

Parallel development tracks (ETL, delivery, metadata, infrastructure)

DWH Process www.keysoft.co.in Copyright Keysoft Solutions Location Location Location Location Location ERP Extract Extraction Integration Data Cleansing Data Scrubbing Transformation Loading Load DM1 DM2 DM3 DM4 DATA WAREHOUSE Analytical Reporting Adhoc Reporting Dashboards Scorecards COMPANY RDBMS

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For more presentations visit:

http://www.keysoft.co.in/bipresentations.htm

Or mail us at questions@keysoft.co.in