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Oracle Financial Analytics with Oracle Essbase:
Complete Financial Reporting, Analysis and Modeling
Emir Musabašić Senior Sales Consultant
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The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.
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Enterprise Performance Management Requires Both
Categories of Financial Reporting
What is our performance?
• What are the top 10 markets? • What is the gap to forecast? • What customers are most
profitable? • What are revenues by product
compared to last year? • What are sales by product,
store and quarter? • What is the trend for
employee-related costs? • What is our open headcount?
How can we improve performance?
• How can we increase promotional lift by 10% in our major markets?
• What happens to our forecast if the dollar declines by 5% to the Euro?
• What happens to gross margin if our materials costs increase by 20%?
• Which customers drive 80% of our overall profitability?
• What happens to same store sales if inventory turns increase by 5%?
Historical & Situational Forward-looking
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Organizations Use Different Questions for
Measuring Performance
Future Past
Forward-looking
Questions
Historical
Questions
Situational
Questions
Present
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Legacy BI Technology Forces Organizations
to Multiple Disconnected Products
Ad-Hoc Query & Analysis
Standardized Reporting
Forward-looking
Questions
Historical
Questions
Situational
Questions
Modeling and Forecasting
•Expensive to Build and Maintain, Difficult to Respond to Change
•Spreadsheets Fill the Gaps
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Hundreds of Spreadsheets Exist to Deliver
Forecasts and Models In The Organization
Executive Management
Finance HR Operations / Manufacturing
Sales & Marketing
• Workforce planning
• Impact analysis • Benefits models
• Customer & Store Profitability
• Demand Planning • Merchandise
Planning • Customer Sat
• Parts Management • Supply chain cost
optimization • Resource
Management • Warehouse
profitability
• Variance analysis • Project / initiative
funding models • Valuation • Risk Management
• Performance Reporting
• Forecasting
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Spreadsheets Are A Poor Way to Do
Forecasting and Modeling
• Slow – takes too long, results obsolete
• Poor Quality – data reflects political bias or negotiations, not reflective of business
• Inconsistent – no centralized definition of formulae or reporting structure
• Expensive – many wasted resources, dubious benefits
• Inflexible – lack of responsiveness to changes
• Not Scalable – cannot support enough data or users
Analysts
Dept A Dept B Dept C
Senior Management
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Oracle Business Intelligence
and Performance Management
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Oracle Essbase
Oracle Financial Analytics
Organizations Need Solution To Link the Past,
Present and Future In An Integrated System
Ad-Hoc Query & Analysis
Standardized Reporting
Forward-looking Questions
Historical Questions
Situational Questions
Future Oriented Past Oriented
Modeling and Forecasting
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A Common Analytic Foundation Delivers Historical, Situational, and Forward-looking Analysis
COMMON ANALYTIC FOUNDATION
OLTP & ODS Systems
Data Warehouse Data Mart
Oracle, Siebel, PeopleSoft JD Edwards, SAP, Custom
Excel XML
Business Process
OLAP
Financial Analytics
PERVASIVE INFORMATION ACCESS
Essbase
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Oracle Financial Analytics and Oracle
Essbase Deliver the Best Financial Insight
• Single Enterprise Information Model
– Lowers cost by modeling once, minimizing data movement, and requiring less hardware
• Complete, Pre-built Analytic Application
– Improves performance by providing relevant & timely insights, aligning decision making, and reducing deployment time
• Forward-looking Analytics
– Lowers risk by enabling modeling of alternative scenarios and simplifying the forecasting and variance analysis process
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Single Enterprise Information Model Integrates Relational and OLAP Technologies
• User Roles, Preferences
• Simplified View
• Logical SQL Interface
PRESENTATION LAYER
• Dimensions
• Hierarchies
• Measures
• Calculations
• Aggregation Rules
• Time Series
SEMANTIC OBJECT LAYER
PHYSICAL LAYER
• Map Physical Data
• Connections
• Schema
Role-Based Views of the Information Relevant to the User
Consistent Definition of Business Measures, Metrics, Calculations
Model Once, Deploy Everywhere
Across Any Data Sources
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Pervasive Information Access One Platform, One Model, Multiple Delivery Channels
COMMON ANALYTIC FOUNDATION
OLTP & ODS Systems
Data Warehouse Data Mart
Oracle, Siebel, PeopleSoft JD Edwards, SAP, Custom
Excel XML
Business Process
OLAP
• Forward-Looking Analytic Engine • Multi-user Write-back • Financial Intelligence • Enterprise Dimension Management
ERP ANALYTICS
CRM ANALYTICS
INDUSTRY ANALYTICS
Ad-hoc Analysis
Interactive Dashboards
Reporting & Publishing
Detect & Alert
Disconnected Analytics
Office Integration
PERVASIVE INFORMATION ACCESS
• Single Enterprise Information Model • Conformed Dimensions
• Federated Query • Intelligent Caching
STRATEGIC PLANNING
PLANNING & BUDGETING
FINANCIAL CLOSE
PROFITABILITY MANAGEMENT
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Improve Performance with BI Applications Timely and Relevant Insights Across the Enterprise
Other Data Sources IVR, ACD, CTI
Hyperion MS Excel
Syndicated
Oracle BI Server
Common Enterprise Information Model
• Integrated, Pre-built Analytic
Applications Improve
Enterprise Performance:
• Provides relevant & timely
insights,
• Aligns decision-making
across all employees
• Reduces deployment time
• Powerful Integration with
ERP and CRM Enterprise
Applications
ERP Analytics Financials
Human Resources
Procurement & Spend
Supply Chain & Order Mgmt
Projects
CRM Analytics Sales
Service & Contact Center
Marketing
Loyalty
Price
Business Applications Warehouse
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Oracle Financial Analytics Powerful, Pre-built Analytic Application
Pre-mapped metadata, including embedded best practice calculations and metrics for financial, executives and other business users
A “best practice” library of over 410 pre-built metrics, 36 intelligent dashboards, 250+ 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 PeopleSoft, Oracle EBS, JD Edwards, and other sources
Pre-built warehouse with 16 star-schemas designed for analysis and reporting on financial analytics
• Presentation layer • Logical business
model • Physical sources
1 3
2 4
PeopleSoft
Oracle
EBS
JDE
Universal
Syndicated Oracle BI
Applications
Warehouse
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Oracle Financial Analytics Comprehensive View of Financial Performance
General Ledger, Profitability & Budget Analytics
• Incorporates detail-level general ledger transactions and cash flow analysis across locations, customers, products, sales territories, distribution channels, and business units
• Identifies the customers and transactions that are providing maximum profits by product, location, department, and geographic detail.
• Single Budget Data Model to support: Oracle E-Business Suite, PeopleSoft Enterprise, JD Edwards EnterpriseOne.
Payables Analytics
• Provides visibility into payments due to suppliers and expense line detail so managers can manage cash outflows and control expenses. When combined with Procurement & Spend Analytics, it allows full procurement analysis from Requisition to Check
Receivables Analytics
• Monitors collections processes to show what customers buy and how they pay, enabling managers to identify overdue balances and other receivables bottlenecks. When combined with Sales Analytics and Supply Chain & Order Management Analytics, it enables more efficient management of the entire Lead to Cash process.
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Manage Risk With Oracle Essbase Powerful, Forward-looking Analytic Engine
• Enables modeling of alternative scenarios to Forecast the Future
• Simplifies the Management Reporting with Powerful Variance Analysis
• How are we performing within the Context of the Plan?
• What’s Next? • Support for Long-term and
Strategic Decisions
• Leverages Oracle Financial Analytics Pre-built Business Applications Warehouse Files
Excel XML
OLTP & ODS Systems Data Warehouse
Data Mart
Business Applications Warehouse
Oracle Essbase
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Essbase with Oracle Financial Analytics Creates New Information Without Spreadsheets
General Ledger,
Profitability & Budget
Analytics
Payables
Analytics
Receivables
Analytics
Essbase Can Add:
• Financial Models to measure cash flow implications or profitability as the business assumptions change.
• Cost and revenue allocation
calculations across multiple Dimensions, including Organizations, Customers, Products, Geography, Sales Channel, etc.
• Time-series intelligence to metrics: for example: 6-month moving average for DSO or Time-based changes in DSO by changing customer organizations.
• What-if scenario modeling, for example, if change payment terms, what will be impacts on DSO and how will that impact cash flow or implications on Billings, Booking & Backlog processes.
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Oracle Essbase and Oracle BI
Suite Enterprise Edition
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Files Excel XML
OLTP & ODS Systems Data Warehouse
Data Mart
+ Essbase
Ad hoc Analysis
Interactive Dashboards
Reporting & Publishing
Proactive Detection and Alerts
MS Office & Outlook
Common Enterprise Information Model
BI Server
Unified BI Foundation Bi-Directional Integration
Essbase as a Source
Common Enterprise Information Model
BI Server
Files Excel XML
OLTP & ODS Systems
Data Warehouse Data Mart
Essbase
Essbase Studio
Essbase as a Target
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• Unifies modeling of many sources – Structured relational – Unstructured relational – Flat files, XML files – EPM Architect Dimensions – OBIEE – OBI Applications
• Enables reuse at a granular level – Reuse of hierarchies, metrics, cube schemas
• Lineage tracking • Drill anywhere
– Relational – OBIEE, BI+ repository – URL, FDM – Essbase, Java method
Oracle Essbase Studio Single Design Environment
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Extend Financial Analytics with Essbase Leverage Pre-built Metrics, Business Model and ETL
Common Enterprise Information Model
BI Server
OLTP & ODS
Systems
Data Warehouse Data Mart
SAP, Oracle PeopleSoft, Siebel,
Custom Apps
Files Excel XML
Business Process
Ad hoc Analysis
Interactive Dashboards
Reporting & Publishing
Proactive Detection and Alerts
SmartView Office
Integration
BI Apps Data Warehouse
(BAW)
1. Utilizes pre-built Analytic BI Applications
2. Generates New Forward-looking Information in Essbase
3. Benefit from combined Essbase and BI Apps
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Essbase
Essbase
Oracle BI Foundation
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Pervasive Information Delivery
• Live, intuitive, personalized dashboards
• Immersive experience with limitless dashboard to
dashboard navigation
• Dynamic, event-driven guided analytics lead users
from insight to action
Interactive Dashboards
Ad Hoc Query
• Powerful ad-hoc analysis via 100% Web UI
• Create & modify charts, pivots and dashboards
• True business user self sufficiency via intuitive,
simplified business model
Financial Reporting
• Formatted financial statements
• Built-in financial intelligence
• XBRL support
MS Office Integration
• Excel, PowerPoint, Word, & Outlook
• Dynamic updates across applications
• Authoring and consumption
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Microsoft Office Integration Secure, Single Version of Truth for Analysts
Works with Excel, Word, & PowerPoint
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The Right Interface For All Consumers of
Financial Data Across the Organization
Line of Business (HR, Sales, Operations, etc.)
Finance: Transaction Processing Manager A/R, Manager A/P,
Accounting Manager
SmartView Office
Integration
Hyperion Financial Reporting
Finance: Accounting, Financial Analysis
Operational Reporting
Management Reporting
Interactive Dashboards
Ad Hoc Query
Ad Hoc Query
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Demonstration
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Conclusion
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Oracle Financial Analytics and Oracle
Essbase Deliver the Best Financial Insight
• Single Enterprise Information Model
– Lowers cost by modeling once, minimizing data movement, and requiring less hardware
• Complete, Pre-built Analytic Application
– Improves performance by providing relevant & timely insights, aligning decision making, and reducing deployment time
• Forward-looking Analytics
– Lowers risk by enabling modeling of alternative scenarios and simplifying the forecasting and variance analysis process