Data Warehousing An Overview

Slide 1: Data Warehousing An Overview Copyright Keysoft Solutions www.keysoft.co.in

Slide 2: Challenges • Users with different needs • Performance and speed • Multiple data sources • Diverse platforms and security systems • Global deployment, multilingual support • Many technologies deployed Copyright Keysoft Solutions www.keysoft.co.in

Slide 3: 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 Copyright Keysoft Solutions www.keysoft.co.in

Slide 4: Business Intelligence Definition 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 BUSINESS INTELLIGENCE DATA WAREHOUSE ANALYTICAL REPORTING DATA MINING Copyright Keysoft Solutions www.keysoft.co.in

Slide 5: 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 Transform Source Extraction Integration Data Cleansing TARGET EXTRACT LOAD Data Scrubbing Transformation Source Copyright Keysoft Solutions www.keysoft.co.in

Slide 6: 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 Copyright Keysoft Solutions www.keysoft.co.in

Slide 7: 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 Copyright Keysoft Solutions www.keysoft.co.in

Slide 8: 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) Copyright Keysoft Solutions www.keysoft.co.in

Slide 9: DWH Process DATA WAREHOUSE ERP Location Extraction DM1 DM2 Integration Load Location Data Cleansing DM3 DM4 Extract Data Scrubbing RDBMS Location Transformation Loading Analytical Reporting Location Adhoc Reporting Dashboards Scorecards Location COMPANY Copyright Keysoft Solutions www.keysoft.co.in

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