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Oracle BI Applications Project Summary
Industry: Advertising Source: OneSource Data as of 01/20/2009 Opportunity Analysis  *Currency: USD, in millions ,[object Object],[object Object],Key Performance Indicator (KPI) infoGROUP Inc Opportunity Analysis Impact of Improvement Baseline Value ($m) KPI Value Industry Average (TTM) Oppty. ($ m) Change in KPI Potential  ($ m) SG&A Expenses Reduction SG&A Expenses / Revenues (%) 255,228   51.05 -1% 2.55 Receivables Reduction Day Sales Outstanding (DSO) 60 56.68 -2 day .90
System Complexity Creates Chaos MULTIPLE  ROLES DIFFERENT METRICS DISPARATE BI TOOLS  & REPORTING SYSTEMS FRAGMENTED DATA SOURCES Executive Marketing Finance Human Resources Customer Service PLANNING COMPANY HEALTH BRAND EBITDA HIRING QUALITY SERVICE LEVELS FINANCE OPERATIONS Multiple Point  Applications Multiple ERP Multiple Supply Chain Multiple Legacy  Applications Multiple Data  Warehouses
Sample Legacy Reporting Environment Complex and Expensive Disparate Data Sources Disparate Reporting Tools SQR Reports,  Discoverer,  BI Publisher MSRS  SAS,  Greenbar,  DataStation, … SAR  output MSAS,  ProClarity Cognos Business  Objects N Vision Crystal  Reports Decision  Cast PS Query MBI DTS Roles Use Multiple Tools HR GL EBS Mainframe Headcount Forecast Data  Warehouses HR, GL, EBS  Data Marts
Record to Report Challenges Deliver High Value and Reduced Cycle Times Collect data Close Adjustments Currency I/C Subsidiaries Report Management Legal External Analyze 6 Days 12 Days Average  Collect Close Adjustment Report Analyze and Forecast <2 Days 6 Days World Class  More time!
Oracle’s End to End Solution Record to Report Close Report Eliminate Record Analyze Convert Adjust Oracle E-Business Suite Financial  Analytic  Applications Hyperion IFRS/GAAP Transactions Sub   Ledgers Accounting   Accruals Results I/C  Activity Sub   Ledgers Foreign   Currency
Sample Oracle Reporting Environment Simplified and Effective Single Source of Truth One BI Enterprise Solution Roles Use Single Platform HR GL EBS Mainframe Headcount Forecast Data  Warehouses HR, GL, EBS  Data Marts Oracle Workspace BI Apps Data Warehouse (Oracle DB)
Improve Financial Timeliness and Analysis for Improved Accuracy   ,[object Object],[object Object],[object Object],[object Object],FDW Project Enablers ,[object Object],[object Object],[object Object],What Risks Analytics Helps Mitigate ,[object Object],[object Object],[object Object],[object Object]
Improve Receivables Analysis and Focus to Reduce DSO and Improve Terms ,[object Object],[object Object],[object Object],[object Object],[object Object],FDW Project Enablers ,[object Object],[object Object],[object Object],[object Object],What Risks Analytics Helps Mitigate ,[object Object],[object Object],[object Object]
Improve AP Analysis and Focus to Manage Expense & Maximize Discounts ,[object Object],[object Object],[object Object],[object Object],FDW Project Enablers What Risks Analytics Helps Mitigate ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Improve Financial Timeliness and Analysis for Improved Accuracy  ,[object Object],[object Object],[object Object],[object Object],How Analytics Helps Achieve ,[object Object],[object Object],[object Object],What Risks Analytics Helps Mitigate ,[object Object],[object Object],[object Object],[object Object]
Improve Receivables Analysis and Focus to Reduce DSO and Improve Terms ,[object Object],[object Object],[object Object],[object Object],How Analytics Helps Achieve ,[object Object],[object Object],[object Object],What Risks Analytics Helps Mitigate ,[object Object],[object Object],[object Object]
Improve AP Analysis and Focus to Manage Expense & Maximize Discounts ,[object Object],[object Object],[object Object],[object Object],How Analytics Helps Achieve What Risks Analytics Helps Mitigate ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Time to Benefit Summary Focus on Reducing DSO & Expenses Can Yield $2.6M in Savings ,[object Object],[object Object],[object Object],$380 Year 1 $464 Net Benefit Year 2 Year 3 Year 4 Year 5 $464 $464 $464
Benefit Calculations INPUTS Current Target SG&A Expenses $255,228,000 -1.00% Annual revenue (A) $499,913,000   Days Sales Outstanding (B,C) 60 58 Receivables balance (D=(A/365)*B,E=(A/365)*C) $82,177,479 $79,438,230 One-time reduction in accounts receivable due to lower days sales outstanding (F)=(D)-(E) $2,739,249   Cost of working capital (%) (G) 8       Annual Benefits (factoring growth and adoption rates)  20%   Annual Benefits (USD) Year 1 Year 2 Year 3 Year 4 Year 5 Reduction in working capital due to reduction in accounts receivable factoring adoption rate $548,000 $0 $0 $0 $0 Reduction in annual interest cost due to lower working capital due to reduction in accounts receivable $22,000 $44,000 $44,000 $44,000 $44,000 Reduce days sales outstanding factoring benefit adoption rate  $570,000 $44,000 $44,000 $44,000 $44,000 Summary: Year 1 Year 2 Year 3 Year 4 Year 5 Cumulative Expenses $510,456 $510,456 $510,456 $510,456 $510,456 $1,531,368 DSO $570,000 $44,000 $44,000 $44,000 $44,000 $658,000 Total: $1,080,456 $554,456 $554,456 $554,456 $554,456 $3,298,280
<Insert Picture Here> Solution  Overview
Oracle BI Applications Multi-source Analytic Apps Built on BI Suite EE Plus Packaged ETL Maps Universal Adapters IVR, ACD, CTI Hyperion MS Excel Other Data Sources Oracle BI Apps built on Oracle BI EE Plus ,[object Object],[object Object],[object Object],Ad-hoc  Analysis Proactive Detection and Alerts MS Office Plug-in Reporting &  Publishing Interactive  Dashboards Disconnected Analytics Web Services Oracle BI Applications Sales Service & Contact Center Marketing Supply Chain & Order Management Procurement & Spend Financials Human Resources
Sales Marketing Procurement & Spend Supply Chain & Order Management Human Resources Pipeline Analysis Forecast Accuracy Sales Team  Effectiveness Up-sell/  Cross-sell Cycle Times Lead  Conversion Employee  Productivity Compensation  Compliance  Reporting Workforce Profile Retention Analysis Return on  Human Capital Revenue and Backlog Inventory  Fulfillment Status Customer Status  Order  Cycle Time BOM  Analysis Direct / Indirect  Spend Buyer Productivity Off Contract Purchases Supplier Performance Purchase  Cycle Time Employee Expenses Campaign  Effectiveness Customer Insight Product  Propensity Loyalty & Attrition Market Basket  Analysis Campaign  ROI Travel & Trans Financials General  Ledger Accounts Receivable Accounts Payable Cash Flow Profitability Expense Management Oracle BI Applications Complete, Pre-built, Best Practice Analytics Auto Comms & Media Complex Mfg Consumer Sector Energy Financial Services High Tech Insurance & Health Life Sciences Public  Sector Service & Contact Center Service Effectiveness Customer  Satisfaction Resolution Rates Service Rep Efficiency Service Cost Churn &  Service Trends Travel & Trans Oracle BI Suite Enterprise Edition Plus and Other Operational & Analytic Sources Source adapters:
Financial Analytics Components Pre-mapped metadata, including embedded best practice calculations and metrics for financial, executives and other business users A “best practice” library of over 360  pre-built metrics, 30 intelligent dashboards, 200+ reports and several alerts for CFO, Finance Controller, Financial Analyst, AR/AP Managers and Executives 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 Pre-built warehouse with 16 star-schemas designed for analysis and reporting on financial analytics ,[object Object],[object Object],[object Object],1 3 2 4
Architectural BI Foundation >>  © 2008 Optimum Solutions Group, LLC Oracle Data Warehouse BI Foundation Oracle BI EE Plus ETL Load Process Staging Area Extraction Process DAC EBS Excel Other BI Applications Finance Web Disconnected Office Alerts Mobile Desktop
Financial Analytics Includes:
Oracle Financial Analytics Comprehensive View of Financial Performance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Finance Struggles to Use Intelligence to Maximize Cash Flow and Profitability KEY CHALLENGES EXAMPLES Lack of visibility  into financial performance data ,[object Object],[object Object],[object Object],Poor management of cash  inflow and outflow ,[object Object],[object Object],[object Object],Unable to support  financial accountability  and best practices ,[object Object],[object Object],Time wasted  gathering data to manage and report ,[object Object],[object Object],[object Object],[object Object]
Oracle Financial Analytics  Provides Insight to Maximize Cash Flow and Profitability ANALYSIS & METRICS BENEFITS Receivables ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],General Ledger Payables Profitability ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Why did we select the Packaged Solution for EBS?
Building BI Solutions is Costly Significant Investment, Skills and Time Required © 2008 Oracle Corporation – Proprietary and Confidential ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Oracle BI Applications Speed Time To Value  Lowers TCO Build from Scratch with Traditional BI Tools Oracle BI Applications Prebuilt Business Adapters for Oracle, PeopleSoft, Siebel, SAP, others Prebuilt DW design, adapts to your EDW Role-based dashboards and thousands of pre-defined metrics Easy to use, easy to adapt Weeks or Months Back-end  ETL and Mapping DW Design Define Metrics & Dashboards Back-end  ETL and Mapping DW Design Define Metrics & Dashboards Training / Roll-out Training / Rollout Months or Years ,[object Object],[object Object],[object Object],[object Object],Source: Patricia Seybold Research, Gartner, Merrill Lynch, Oracle Analysis Copyright © 2008, Oracle and/or its affiliates. All rights reserved.
BI Applications – Ex. Build vs. Buy Comparison Category Element of Solution Typical Build Effort Buy (Average Configuration Effort) Define Metrics & Dashboards Reports & Dashboards 2-4 Weeks 2-4 Weeks Meta Data 7-10 Weeks 2-4 Weeks DW Design Schemas, Indexes, Aggregate 10-12 Weeks 1-3 Weeks Back-End ETL and Mapping Workflow & Scheduling 10-15 Weeks 2-4 Weeks Transform & Load 12-20 Weeks 1-3 Weeks Change Data Capture 8-9 Weeks 2-4 weeks Staging 10-15 Weeks 1 Week Extracts 12-15 Weeks 2-4 weeks * Estimates Only (Assumes Typical Team Size 4-6 Full Time Resources) 71 – 100 Weeks 13 – 27 Weeks 73 % of Build Effort is Back End
BI Applications - Classic Report Development Application Dashboard Pages Reports Average Build Effort Per Report Weeks of Effort to Build Content Sales 33 620 24 Hrs  (Using traditional reporting tools) 372 Marketing 27 124 74 Service 15 102 61 Contact Center 17 72 43 Finance 30 205 123 HR 16 76 45 Supply Chain  & Order Mgmt. 18 157 94 Procurement  & Spend 14 103 62 Total 317 2576 875
BI Applications – Standardization Benefits Copyright © 2008, Oracle and/or its affiliates. All rights reserved.  TYPICAL CUSTOMER CHALLENGES Fragmented view Unintuitive Data latency Expensive to maintain Slow deployments Limited scalability ROI ORACLE Real Customer VALUE Single view, 14 TB across 3 systems 7,000 out of 7,400 employees use Real-time global view – 500 top execs 400 dashboards, 1,250 users, 1 admin 3,000+ users live in 3.5 months 1,000,000+ users on 15 TB of data  500%; $30M savings
BI Applications Reduces Risk and Lowers Cost Leverages Investment, Skills and Time Required Copyright © 2008, Oracle and/or its affiliates. All rights reserved.  License an ETL tool to move data from operational systems to this DW License interactive user access tools License/create information delivery tools Research/understand analytic needs of each user community Set up user security & visibility rules Perform QA & performance testing Manage on-going changes/upgrades Develop detailed understanding of operational data sources Build ETL programs for every data source Build analytics for each audience Design a data warehouse by subject area License an ETL tool to move data from operational systems to this DW License interactive user access tools License/create information delivery tools BI Applications Standardize Platforms Develop detailed understanding of operational data sources Build ETL programs for every data source Build analytics for each audience Design a data warehouse by subject area BI Applications Provide Time to Value BI Applications Robust Architecture Research/understand analytic needs of each user community Set up user security & visibility rules Perform QA & performance testing Manage on-going changes/upgrades Seeded Dashboards, Reports, and Metrics put focus on delivery vs. creation generating savings by faster deployment Common Architecture Provides for Efficient and Cost Effective Extensibility & Scalability Single Technology Stack and Vendor Support lower overall Support and Maintenance Costs
Additional Un-quantified Benefits  Tangible Yet Un-monetized Value ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Oracle: Information’s Business Impact - Business Intelligence

  • 1. Oracle BI Applications Project Summary
  • 2.
  • 3. System Complexity Creates Chaos MULTIPLE ROLES DIFFERENT METRICS DISPARATE BI TOOLS & REPORTING SYSTEMS FRAGMENTED DATA SOURCES Executive Marketing Finance Human Resources Customer Service PLANNING COMPANY HEALTH BRAND EBITDA HIRING QUALITY SERVICE LEVELS FINANCE OPERATIONS Multiple Point Applications Multiple ERP Multiple Supply Chain Multiple Legacy Applications Multiple Data Warehouses
  • 4. Sample Legacy Reporting Environment Complex and Expensive Disparate Data Sources Disparate Reporting Tools SQR Reports, Discoverer, BI Publisher MSRS SAS, Greenbar, DataStation, … SAR output MSAS, ProClarity Cognos Business Objects N Vision Crystal Reports Decision Cast PS Query MBI DTS Roles Use Multiple Tools HR GL EBS Mainframe Headcount Forecast Data Warehouses HR, GL, EBS Data Marts
  • 5. Record to Report Challenges Deliver High Value and Reduced Cycle Times Collect data Close Adjustments Currency I/C Subsidiaries Report Management Legal External Analyze 6 Days 12 Days Average Collect Close Adjustment Report Analyze and Forecast <2 Days 6 Days World Class More time!
  • 6. Oracle’s End to End Solution Record to Report Close Report Eliminate Record Analyze Convert Adjust Oracle E-Business Suite Financial Analytic Applications Hyperion IFRS/GAAP Transactions Sub Ledgers Accounting Accruals Results I/C Activity Sub Ledgers Foreign Currency
  • 7. Sample Oracle Reporting Environment Simplified and Effective Single Source of Truth One BI Enterprise Solution Roles Use Single Platform HR GL EBS Mainframe Headcount Forecast Data Warehouses HR, GL, EBS Data Marts Oracle Workspace BI Apps Data Warehouse (Oracle DB)
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  • 15. Benefit Calculations INPUTS Current Target SG&A Expenses $255,228,000 -1.00% Annual revenue (A) $499,913,000   Days Sales Outstanding (B,C) 60 58 Receivables balance (D=(A/365)*B,E=(A/365)*C) $82,177,479 $79,438,230 One-time reduction in accounts receivable due to lower days sales outstanding (F)=(D)-(E) $2,739,249   Cost of working capital (%) (G) 8       Annual Benefits (factoring growth and adoption rates) 20%   Annual Benefits (USD) Year 1 Year 2 Year 3 Year 4 Year 5 Reduction in working capital due to reduction in accounts receivable factoring adoption rate $548,000 $0 $0 $0 $0 Reduction in annual interest cost due to lower working capital due to reduction in accounts receivable $22,000 $44,000 $44,000 $44,000 $44,000 Reduce days sales outstanding factoring benefit adoption rate $570,000 $44,000 $44,000 $44,000 $44,000 Summary: Year 1 Year 2 Year 3 Year 4 Year 5 Cumulative Expenses $510,456 $510,456 $510,456 $510,456 $510,456 $1,531,368 DSO $570,000 $44,000 $44,000 $44,000 $44,000 $658,000 Total: $1,080,456 $554,456 $554,456 $554,456 $554,456 $3,298,280
  • 16. <Insert Picture Here> Solution Overview
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  • 18. Sales Marketing Procurement & Spend Supply Chain & Order Management Human Resources Pipeline Analysis Forecast Accuracy Sales Team Effectiveness Up-sell/ Cross-sell Cycle Times Lead Conversion Employee Productivity Compensation Compliance Reporting Workforce Profile Retention Analysis Return on Human Capital Revenue and Backlog Inventory Fulfillment Status Customer Status Order Cycle Time BOM Analysis Direct / Indirect Spend Buyer Productivity Off Contract Purchases Supplier Performance Purchase Cycle Time Employee Expenses Campaign Effectiveness Customer Insight Product Propensity Loyalty & Attrition Market Basket Analysis Campaign ROI Travel & Trans Financials General Ledger Accounts Receivable Accounts Payable Cash Flow Profitability Expense Management Oracle BI Applications Complete, Pre-built, Best Practice Analytics Auto Comms & Media Complex Mfg Consumer Sector Energy Financial Services High Tech Insurance & Health Life Sciences Public Sector Service & Contact Center Service Effectiveness Customer Satisfaction Resolution Rates Service Rep Efficiency Service Cost Churn & Service Trends Travel & Trans Oracle BI Suite Enterprise Edition Plus and Other Operational & Analytic Sources Source adapters:
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  • 20. Architectural BI Foundation >> © 2008 Optimum Solutions Group, LLC Oracle Data Warehouse BI Foundation Oracle BI EE Plus ETL Load Process Staging Area Extraction Process DAC EBS Excel Other BI Applications Finance Web Disconnected Office Alerts Mobile Desktop
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  • 25. Why did we select the Packaged Solution for EBS?
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  • 28. BI Applications – Ex. Build vs. Buy Comparison Category Element of Solution Typical Build Effort Buy (Average Configuration Effort) Define Metrics & Dashboards Reports & Dashboards 2-4 Weeks 2-4 Weeks Meta Data 7-10 Weeks 2-4 Weeks DW Design Schemas, Indexes, Aggregate 10-12 Weeks 1-3 Weeks Back-End ETL and Mapping Workflow & Scheduling 10-15 Weeks 2-4 Weeks Transform & Load 12-20 Weeks 1-3 Weeks Change Data Capture 8-9 Weeks 2-4 weeks Staging 10-15 Weeks 1 Week Extracts 12-15 Weeks 2-4 weeks * Estimates Only (Assumes Typical Team Size 4-6 Full Time Resources) 71 – 100 Weeks 13 – 27 Weeks 73 % of Build Effort is Back End
  • 29. BI Applications - Classic Report Development Application Dashboard Pages Reports Average Build Effort Per Report Weeks of Effort to Build Content Sales 33 620 24 Hrs (Using traditional reporting tools) 372 Marketing 27 124 74 Service 15 102 61 Contact Center 17 72 43 Finance 30 205 123 HR 16 76 45 Supply Chain & Order Mgmt. 18 157 94 Procurement & Spend 14 103 62 Total 317 2576 875
  • 30. BI Applications – Standardization Benefits Copyright © 2008, Oracle and/or its affiliates. All rights reserved. TYPICAL CUSTOMER CHALLENGES Fragmented view Unintuitive Data latency Expensive to maintain Slow deployments Limited scalability ROI ORACLE Real Customer VALUE Single view, 14 TB across 3 systems 7,000 out of 7,400 employees use Real-time global view – 500 top execs 400 dashboards, 1,250 users, 1 admin 3,000+ users live in 3.5 months 1,000,000+ users on 15 TB of data 500%; $30M savings
  • 31. BI Applications Reduces Risk and Lowers Cost Leverages Investment, Skills and Time Required Copyright © 2008, Oracle and/or its affiliates. All rights reserved. License an ETL tool to move data from operational systems to this DW License interactive user access tools License/create information delivery tools Research/understand analytic needs of each user community Set up user security & visibility rules Perform QA & performance testing Manage on-going changes/upgrades Develop detailed understanding of operational data sources Build ETL programs for every data source Build analytics for each audience Design a data warehouse by subject area License an ETL tool to move data from operational systems to this DW License interactive user access tools License/create information delivery tools BI Applications Standardize Platforms Develop detailed understanding of operational data sources Build ETL programs for every data source Build analytics for each audience Design a data warehouse by subject area BI Applications Provide Time to Value BI Applications Robust Architecture Research/understand analytic needs of each user community Set up user security & visibility rules Perform QA & performance testing Manage on-going changes/upgrades Seeded Dashboards, Reports, and Metrics put focus on delivery vs. creation generating savings by faster deployment Common Architecture Provides for Efficient and Cost Effective Extensibility & Scalability Single Technology Stack and Vendor Support lower overall Support and Maintenance Costs
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Notas do Editor

  1. To add insult to injury, the systems complexity creates information chaos. Each manager tracking the same metric with completely different points of view on past performance. Why? Because there is no shared master data across the organization – no consistency in metrics or business hierarchies. Why? Because the average billion dollar enterprise has nearly a dozen different BI tools. For EPM to reach it’s fullest potential inside your company, you need to centralize and standardized your management processes and systems. ERP consolidation has long been seen as a key to reaching operational excellence, now it’s time to consolidate BI systems to reach management excellence and quality in decision making across your enterprise.
  2. It is a complete, end-to-end BI environment covering the BI platform and pre-packaged analytic applications. The platform includes a server and end user tools such as dashboards, query and analysis, enterprise reporting, disconnected access to the data -- all supported by a unified, model-centric server architecture. On top of this platform, we have a set of analytic applications consuming the operational data sources and delivering greater insight to larger user communities across the organization via dashboards, query and analysis, alerts, briefing books, and disconnected mode - the same tools we mentioned under the BI platform.
  3. The BI applications enable more pervasive BI by providing role-based insight for each functional area, including sales, service, marketing, contact center, finance, supplier/supply chain, HR/workforce, and executive management. For example, Sales Analytics includes role-based applications for sales executives, sales management, as well as front-line sales reps, each of whom have different needs. The applications integrate and transform data from a range of enterprise sources—including Siebel, Oracle, PeopleSoft, SAP, and others—into actionable intelligence for each business function and user role.
  4. After this page, review the model.
  5. Build Vs. Buy Per Application Build Labor cost - 1.4 versus Buy for $360 To Build Content Hourly Rate $ 100 Team 4 Week Rate $ 14,400 Duration Weeks $ 279 For OM, INV, FIN Total $ 4,017,600
  6. Fragmented view – Royal Bank of Canada Unintuitive – Cerner Data latency – Cisco Expensive to Maintain – Pitney Bowes Slow Deployments – Verizon Scalability – LinkShare ROI – Toyota