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Data Warehousing An Overview1821


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Data Warehousing An Overview1821

  1. 1. Data Warehousing An Overview Copyright Keysoft Solutions
  2. 2. Challenges <ul><li>Users with different needs </li></ul><ul><li>Performance and speed </li></ul><ul><li>Multiple data sources </li></ul><ul><li>Diverse platforms and security systems </li></ul><ul><li>Global deployment, multilingual support </li></ul><ul><li>Many technologies deployed </li></ul> Copyright Keysoft Solutions
  3. 3. Top Reasons Organizations Buy Business Intelligence <ul><li>Respond to users need for data on timely basis </li></ul><ul><li>Speed / Improve decision-making ability </li></ul><ul><li>Decrease cost / Improve operational efficiency </li></ul><ul><li>Better alignment with corporate strategy and objectives </li></ul><ul><li>Increase revenue </li></ul><ul><li>Share information with customers / suppliers / partners </li></ul>Source: Gartner Multi-Client Study Nov 2006 Copyright Keysoft Solutions
  4. 4. Business Intelligence <ul><li>Definition </li></ul>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 Copyright Keysoft Solutions
  5. 5. Data Warehouse <ul><li>Definition </li></ul><ul><li>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. </li></ul>Process Copyright Keysoft Solutions Source Source TARGET EXTRACT LOAD Extraction Integration Data Cleansing Data Scrubbing Transformation Transform
  6. 6. Data Mart <ul><li>Data Mart </li></ul><ul><ul><li>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) </li></ul></ul><ul><ul><li>In a well structured BI system, the data warehouse serves as a single source for multiple data marts </li></ul></ul> Copyright Keysoft Solutions
  7. 7. DW Short Term Goals <ul><li>Improve data quality </li></ul><ul><li>Minimize inconsistent reports </li></ul><ul><li>Capture and provide access to business metadata </li></ul><ul><li>Provide capability for data sharing </li></ul><ul><li>Integrate data from multiple sources </li></ul><ul><li>Merge historical and current data appropriately </li></ul><ul><li>Improve the speed and performance of all reporting needs </li></ul> Copyright Keysoft Solutions
  8. 8. DW Long Term Objectives <ul><li>Reconcile varying views of data </li></ul><ul><li>Provide consolidated view of enterprise data </li></ul><ul><li>Create a central point for accessing and sharing analytical data </li></ul><ul><li>Develop an enterprise approach to business intelligence and reporting </li></ul>DW Methodology <ul><li>“ DW is built in iterations – not in “one big bang” </li></ul><ul><li>Parallel development tracks (ETL, delivery, metadata, infrastructure) </li></ul> Copyright Keysoft Solutions
  9. 9. DWH Process 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
  10. 10. <ul><li>For more presentations visit: </li></ul><ul><li> </li></ul><ul><li>Or mail us at </li></ul> Copyright Keysoft Solutions