Oracle Business Intelligence Applications. Kostiantyn Stupak
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2 Oracle Business Intelligence Applications Kostiantyn Stupak 2
3 Business Analytics Span Multiple Disciplines Financial Performance & Strategy Management Supply Chain Analytic Applications Production Planning Analytic Applications CRM Analytic Applications Services Operations Analytic Applications Workforce Analytic Applications Query, Reporting and Analysis Tools Advanced Analytics Tools Content Analysis Tools Spatial Information Analytics Tools Data Warehouse Management Data Warehouse Generation Source: IDC Business Analytics Taxonomy IDC,
4 Broadest Suite of Analytic Applications Faster Time to Market CRM ANALYTICS ERP ANALYTICS SALES MARKETING SERVICE & CONTACT CENTER FINANCIALS PROCUREMENT & SPEND SUPPLY CHAIN & ORDER MGMT Pipeline Analysis Forecast Accuracy Up-sell/Cross-sell Cycle Times Lead Conversion Sales Team Effectiveness Campaign Effectiveness Customer Insight Product Propensity Market Basket Analysis Campaign ROI Service Effectiveness Customer Satisfaction Resolution Rates Service Rep Efficiency Service Cost Service Trends General Ledger Accounts Receivable Accounts Payable Cash Flow Profitability Expense Management Direct & Indirect Spend Buyer Productivity Contract Compliance Supplier Perf. Purch. Cycle Time Employee Expense Revenue & Backlog Inventory Analysis Fulfillment Status Customer Status Order Cycle Time BOM Analysis PRICE LOYALTY PROJECTS HUMAN RESOURCES Price Segments Price Waterfall Analysis Deal Life Cycle Deal Desk Analysis Product Pricing Performance Member Demographics Membership Trends Promotion Cost Promotion Effectiveness Points Analysis Project Funding and Budget Product Cost Project Revenue Project Billing Project Profitability Employee Productivity Compensation Talent Management Recruiting Analysis Learning Analysis Workforce Profile ORACLE BUSINESS INTELLIGENCE FOUNDATION SOURCE ADAPTERS: AND OTHER OPERATIONAL AND ANALYTIC SOURCES 5
5 Oracle BI Applications Are Pre-Built Integrates Data for Analysis and Reporting Pre-built integration of data from Oracle EBS, PeopleSoft, Siebel, JD Edwards and other sources into an integrated data warehouse optimized for analysis Provides User-Friendly Analytic Model of Enterprise Information and Metrics Embedded best practice calculations, metrics, and KPIs Easy for business people to access, analyze, and use the information Delivers Personalized Performance Dashboards for Everyone Data Integration Technology Oracle BI Technology Thousands of pre-built dashboards, reports, and alerts by business function and role i R12 6
6 Example: Financial Analytics Components 1 3 Pre-built warehouse with 16 star-schemas designed for analysis and reporting on financial analytics Pre-mapped metadata, including embedded best practice calculations and metrics for financial, executives and other business users Presentation layer Logical business model Physical sources 2 4 Pre-built ETL to extract data from over 3,000 operational tables and load it into the DW, sourced from PSFT, Oracle EBS and other sources A best practice library of over 480 pre-built metrics, 36 intelligent dashboards, 250+ reports and several alerts for CFO, Finance Controller, Financial Analyst, AR/AP Managers and Executives Copyright 2008, Oracle and/or its affiliates. All rights reserved. 7 7
7 Common Enterprise Information Model Single Consistent View and User Self-Sufficiency PRESENTATION LAYER User Roles, Preferences Simplified View Logical SQL Interface Role-Based Views of the Information Relevant to the User SEMANTIC OBJECT LAYER Dimensions Hierarchies Measures Calculations Aggregation Rules Time Series Consistent Definition of Business Measures, Metrics, Calculations PHYSICAL LAYER Map Physical Data Connections Schema Model Once, Deploy Everywhere Across Any Data Sources 8 8
8 Illustration & How BI Apps Support It Business Objectives/ Issues Is DSO on target? Maximize cash flow Two levels Set of best practice pre-built content Flexibility to change and adjust Is DPO on target? Gain Insights Take Action Is overdue balances trending up? How long is the underlying overdue balance pending? Who are the customers and collectors? Drill to overdue invoice detail Target collection efforts to reduce overdue balances The individual analytical steps are performed in every company They are common business These activities represent the repeatable content in BI projects Role They are included into the prebuilt content Are payment terms in compliance? What is the aging of due balances? Drill to due balances by region Business Function Receivables Director, Credits & Collections Objectives The sequence of these individual steps is customer unique Maximize cash flow It forms the Analytic Workflow Control risk of It is represented by a sequence receivables portfolio of reports, their groupings, drilldowns and navigations The individual workflows are subject of implementation 9
9 BI Applications Business Content Over 8,000 pre-defined assets BI Application Dashboards Dashboard Pages Reports Metrics Sales Price Marketing Loyalty Service Contact Center Financials HR Supply Chain & Order Mgmt Procurement & Spend Project All Industry Apps ,117 1,216 Total ,250 4,946 10
10 BI Apps v7.9.6/7.9.7 Source Systems Coverage Matrix Matrix shows operational applications supported by Oracle BI Applications ETL. To see which specific operational application modules are supported, and by which specific BI Apps, see product documentation CRM Financials Human Resources Supply Chain & Order Management Procurement & Spend Projects Mfg EBS R EBS R EBS R EBS R12 EBS Service only PSFT 9.1 PSFT 9.0 PSFT 8.9 JDE E1 8.11SP1 JDE E JDE E1 9.0 JDE W A9.2 SAP R3 4.6c Siebel Siebel 8.0 Siebel 7.8 Not Applicable 11
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2008 Oracle Corporation
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