| Description |
1 online resource (1 volume) : illustrations |
| Note |
Includes index. |
| Summary |
"Provide actionable business intelligence across the enterprise to enable informed decision making and streamlined business processes. Oracle BI Applications: Deliver Value through Rapid Implementations shows how to justify, configure, customize, and extend this complete package of BI solutions. You'll get a technical walkthrough of Oracle BI Applications architecture--from the dashboard to the data source--followed by best practices for maximizing the powerful features of each application. You will also find out which line of business people are critical to have lined up to ensure the project gets approved and succeeds. - Optimize performance using Oracle Exalytics In-Memory Machine - Deliver timely financial information to managers with Oracle Financial Analytics - Enable a streamlined, demand-driven supply chain via Oracle Supply Chain and Order Management Analytics - Provide end-to-end visibility into manufacturing operations with Oracle Manufacturing Analytics - Optimize supply-side performance through Oracle Procurement and Spend Analytics - Use Oracle Human Resources Analytics to provide key workforce information to managers and HR professionals - Track the costs and labor required to maintain and operate assets with Oracle Enterprise Asset Management Analytics - Maintain visibility into project performance via Oracle Project Analytics - Provide actionable insight into sales opportunities using Oracle Sales Analytics - Enable superior customer service with Oracle Service Analytics"-- Provided by publisher. |
| Contents |
Cover -- Title Page -- Copyright Page -- About the Authors -- About the Technical Editor -- Contents -- Foreword -- Acknowledgments -- From Simon Miller -- From Will Hutchinson -- Introduction -- Chapter 1: Crash Course in Data Warehouse Survival -- The History of BI Applications -- Simon Miller's Experiences -- Will Hutchinson's Experiences -- Requirements for a BI Application -- Types of BI Applications (Kimball vs. Inmon) -- Top-Down vs. Bottom-Up Approach -- Operational Reporting vs. Analytical Applications -- Conclusion -- Chapter 2: Don't Reinvent Any Wheels -- Data Warehouse Primer |
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What Is a BI Application? -- Why Buy, When You Can Build? -- Creating a Work Estimation Model -- Roadmap to a Custom Built Solution -- Design and Develop the Project Plan -- Develop a Competency Center Around Design and Architecture Best Practices -- Gather Detailed Requirements -- Perform Source System Analysis -- Perform Architectural Design -- Design the Physical Data Model -- Design the Logical Data Model and Review It with End Users -- Define Security Integration Requirements -- Design Test Plan -- Design the BI Semantic Layer -- Design ETL -- Develop ETL -- Test ETL -- Develop Reports |
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Document the Application -- Perform Power-User Training on the BI Platform -- Perform Rollout to Production -- Test Performance and Tuning -- Perform End-User Training -- Bringing It All Together with a Prebuilt Solution -- Common Objections to BI Applications -- I Already Have a Specific Technology Investment -- I Have Different Data Sources, Not All Oracle -- I Only Need a Handful of Reports -- What About My Existing Data Warehouse? -- I Need to Implement EBS First -- How Do I Know This Will Be a Good Fit? -- I Can Build It Myself -- I Need an MDM Solution First |
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My Data Is Too Dirty to Report On -- I Don't Know What My Requirements Are and Users Can't Define What They Want -- BI Applications Are Too Expensive -- What Happened to Discoverer and Daily Business Intelligence (DBI)? -- I Don't Want to Hire an Implementer -- What's the Point of Implementing a Prebuilt Application If I Have to Customize? -- I Already Have OBIEE, So Why Do I Need a BI Application? -- Conclusion -- Chapter 3: Oracle BI Applications Architecture -- OBIEE Dashboard -- OBIEE Ad-hoc Queries -- OBIEE and the Semantic Layer -- Physical Layer -- Business Model and Mapping Layer |
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Presentation Layer -- DAC: Execution Plan and Dependencies -- Informatica: Mapping Walkthrough -- Universal Adaptors -- SDE Mappings -- SIL Mappings -- PLP Mappings -- Oracle SQL Developer: Physical Data Model -- What's New with DAC 11g -- Security -- Upgrade Considerations -- Conclusion -- Chapter 4: Exalytics: Go Fast, Not Slow -- Primer on Data Warehouse Tuning -- Who's in Control of the Data Design? -- DBA Objections -- Picking the Right Aggregates -- How to Implement -- How to Maintain, Monitor, and Refine -- Shifting Priorities Within a Month, Quarter, or Year -- Enter Exalytics |
| Subject |
Oracle (Computer file)
|
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Oracle (Computer file) |
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Oracle (Computer file) |
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Business -- Data processing.
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Management information systems.
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Business intelligence -- Computer programs.
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Management -- Data processing.
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Gestion -- Informatique. |
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Systèmes d'information de gestion. |
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Management -- Data processing |
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Business -- Data processing |
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Management information systems |
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Commerce. |
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Business & Economics. |
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Marketing & Sales. |
| Added Author |
Hutchinson, William.
|
| Other Form: |
Print version: Miller, S. (Simon). Oracle business intelligence applications. New York : McGraw-Hill Education, [2013] 9780071804141 (DLC) 2013019259 (OCoLC)844373059 |
| ISBN |
9780071804158 |
|
0071804153 |
|
0071804145 |
|
9780071804141 |
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