1 Copyright © Oracle Corporation, All rights reserved. Business Intelligence and Data Warehousing

1-2 Copyright © Oracle Corporation, All rights reserved. Introductions Tell us about yourself: What is your name and company? What is your role in the organization? What is your level of Oracle expertise? Why are you considering building a data warehouse? What is your data warehouse experience? What are your expectations for this class?

1-3 Copyright © Oracle Corporation, All rights reserved. Course Objectives After completing this course, you should be able to do the following: Describe the role of business intelligence (BI) and data warehousing in today’s marketplace Describe data warehousing terminology and the various technologies that are required to implement a data warehouse Explain the implementation and organizational issues surrounding a data warehouse project Identify data warehouse modeling concepts Explain the extraction, transformation, and loading processes for building a data warehouse

1-4 Copyright © Oracle Corporation, All rights reserved. Course Objectives Identify management and maintenance processes that are associated with a data warehouse project Describe methods for refreshing warehouse data Explain warehouse metadata concepts Identify tools that can be employed at each stage of the data warehouse project Describe user profiles and techniques for querying the warehouse Identify methods and tools for accessing and analyzing warehouse data

1-5 Copyright © Oracle Corporation, All rights reserved. Lessons 1.Business Intelligence and Data Warehousing 2.Defining Data Warehouse Concepts and Terminology 3.Planning and Managing the Data Warehouse Project 4.Modeling the Data Warehouse 5.Building the Data Warehouse: Extracting Data 6.Building the Data Warehouse: Transforming Data 7.Building the Data Warehouse: Loading Warehouse Data

1-6 Copyright © Oracle Corporation, All rights reserved. Lessons 8.Refreshing Warehouse Data 9.Leaving a Metadata Trail 10.Managing and Maintaining the Data Warehouse

1-7 Copyright © Oracle Corporation, All rights reserved. Lesson 1 Let’s Get Started

1-8 Copyright © Oracle Corporation, All rights reserved. Lesson 1 Objectives After completing this lesson, you should be able to do the following: Describe the role of business intelligence in today’s marketplace Describe why an online transaction processing system (OLTP) is not suitable for analytical reporting Describe how extract processing for decision support querying led to data warehouse solutions that are employed today Explain why businesses are driven to employ data warehouse technology

1-9 Copyright © Oracle Corporation, All rights reserved. What Is Business Intelligence? “Business Intelligence is the process of transforming data into information and through discovery transforming that information into knowledge.” Gartner Group

1-10 Copyright © Oracle Corporation, All rights reserved. Purpose of Business Intelligence The purpose of business intelligence is to convert the volume of data into business value through analytical reporting. Decision Knowledge Information Data Volume Value

1-11 Copyright © Oracle Corporation, All rights reserved. Evolution of BI Executive information systems (EIS) Decision support systems (DSS) Business intelligence (BI) EIS DSS BI

1-12 Copyright © Oracle Corporation, All rights reserved. Early Management Information Systems MIS systems provided business data. Reports were developed on request. Reports provided little analysis capability. Decision support tools gave personal ad hoc access to data. Operational reportsDecision makers Production platforms Ad hoc access

1-13 Copyright © Oracle Corporation, All rights reserved. Analyzing Data from Operational Systems Data structures are complex. Systems are designed for high performance and throughput. Data is not meaningfully represented. Data is dispersed. OLTP systems may be unsuitable for intensive queries. Operational reports Production platforms

1-14 Copyright © Oracle Corporation, All rights reserved. Why OLTP Is Not Suitable for Analytical Reporting OLTPAnalytical Reporting Information to support day-to-day service Historical information to analyze Data stored at transaction level Data needs to be integrated Database design: Normalized Database design: Denormalized, star schema

1-15 Copyright © Oracle Corporation, All rights reserved. Data Extract Processing End user computing offloaded from the operational environment User’s own data Decision makers Operational systems Extracts

1-16 Copyright © Oracle Corporation, All rights reserved. Management Issues with Data Extract Programs ExtractsOperational systems Decision makers Extract Explosion

1-17 Copyright © Oracle Corporation, All rights reserved. Productivity Issues with Extract Processing Duplicated effort Multiple technologies Obsolete reports No metadata

1-18 Copyright © Oracle Corporation, All rights reserved. Data Quality Issues with Extract Processing No common time basis Different calculation algorithms Different levels of extraction Different levels of granularity Different data field names Different data field meanings Missing information No data correction rules No drill-down capability

1-19 Copyright © Oracle Corporation, All rights reserved. Data Warehousing and Business Intelligence External Data Operations Data Legacy Data Enterprise Data Warehouse Data Marts Analytical Reporting

1-20 Copyright © Oracle Corporation, All rights reserved. Advantages of Warehouse Processing Environments Controlled Reliable Quality information Single source of data Decision makers Data warehouse Internal and external systems

1-21 Copyright © Oracle Corporation, All rights reserved. Advantages of Warehouse Processing Environments No duplication of effort No need for tools to support many technologies No disparity in data, meaning, or representation No time period conflict No algorithm confusion No drill-down restrictions

1-22 Copyright © Oracle Corporation, All rights reserved. Success Factors for a Dynamic Business Environment Know the business Reinvent to face new challenges Invest in products Invest in customers Retain customers Invest in technology Improve access to business information Provide superior services and products Be profitable

1-23 Copyright © Oracle Corporation, All rights reserved. Business Drivers for Data Warehouses Provide supporting information systems Get quality information: –Reduce costs –Streamline the business –Improve margins

1-24 Copyright © Oracle Corporation, All rights reserved. Technological Advances Enabling Data Warehousing Hardware Operating system Database Query tools Applications Large databases 64-bit architectures Indexing techniques Affordable, cost-effective open systems Robust warehouse tools Sophisticated end user tools

1-25 Copyright © Oracle Corporation, All rights reserved.

1-26 Copyright © Oracle Corporation, All rights reserved. Oracle9 i Business Intelligence OLAP Data Mining BI Developer Components Oracle Warehouse Builder Discoverer Administrator JDeveloper Reports Developer Web Analytics Ad-hoc Query Reporting BI Beans Portal Personalization ETL

1-27 Copyright © Oracle Corporation, All rights reserved. Oracle’s Business Intelligence and Data Warehousing Products Analysis Tools & Applications ReportsDiscovererClickstreamPersonalization Design & Development Tools DesignerOWBJDeveloperPortal Database & Server Technology ETL & Data miningOracle9 i with OLAP Services

1-28 Copyright © Oracle Corporation, All rights reserved.

1-29 Copyright © Oracle Corporation, All rights reserved.

1-30 Copyright © Oracle Corporation, All rights reserved.

1-31 Copyright © Oracle Corporation, All rights reserved.

1-32 Copyright © Oracle Corporation, All rights reserved. Summary In this lesson, you should have learned how to: Describe the role of business intelligence in today’s marketplace Describe why an online transaction processing system (OLTP) is not suitable for analytical reporting Describe how extract processing for decision support querying led to data warehouse solutions employed today Explain why businesses are driven to employ data warehouse technology

1-33 Copyright © Oracle Corporation, All rights reserved. Practice 1-1 Overview This practice covers the following topics: Answering questions about data warehousing Discussing how data warehousing meets business needs

1-34 Copyright © Oracle Corporation, All rights reserved.