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Oracle Demantra Overview
Nagappan Periakaruppan
Oct 2011
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Agenda
• Understand Demantra in the context of VCP (Value
Chain Planning)
• Describe key capabilities of Oracle Demantra
• Understand what business processes are supported
within Demantra
• Understand Oracle Demantra Concepts and Jargon
Oracle Value Chain Planning Solution
Future *
Integrated
Planning
Functions
Products
Platform
E1 EBS …Legacy
ERP* *
WFL Common planning
data model
Connectors
Network
Design Demand Sensing
And Shaping Postponement
Optimization Holistic
Supply
Planning
Promise,
Distribute, and
Replenish Execute to plan
Embedded
Analytics
Role-based Portals
Preconfigured
Worksheets and
Workbenches
Operational
Excellence
Real-Time S&OP
Demand driven
adaptive planning
Multi-Enterprise
Collaboration
Trading Partners
Best in class
Business
Processes
Supply Chain
Risk Management
Strategic
Network
Optimization
Inventory
Optimization
Real-Time
Sales &
Operations
Planning
Demand
Management
& Advanced
Forecasting
Predictive
Trade Planning &
Optimization
Advanced
Supply Chain
Planning
Production
Scheduling
Global
Order
Promising
Collaborative
Planning
Oracle Demantra Applications
Real-time Sales and Operations Planning
Predictive Trade
Planning
Demand
Management
Advanced Forecasting
and Demand Modeling
Trade Promotion Optimization
Deduction and
Settlement Management
Demantra Integration – The Big Picture
Trade
Management
Execution
Siebel CRM
Supply Chain
Management
and Financials
Oracle EBS
Strategic Network Optimization
Inventory Optimization
Adv. Supply Chain Planning
Global Order Promising
Collaborative Planning
Value Chain Planning
Demand Management
Demantra
Demand Management
Advanced Forecasting
Predictive Trade Planning
Promotion OptimizationDeduction and
Settlement Management
Trade Promotion Management
Real-Tim
e S
ale
s a
nd
Opera
tions P
lannin
g
Production Scheduling
JDE E1
Supply Chain
Management
and Financials
Demand Management
What is Demand Management?
• Planning for future demand scenarios
- Estimate future demand based on market
conditions
- Collaborative planning process involving internal
and external participants
• A crucial function for improving operational plans
- Optimal resource allocation
- Reduced inventory levels
- Improved customer satisfaction
What is Demand Management?
• Compare and consolidate disparate forecasts
- Sales, Marketing, Manufacturing
- In units or amount
• Improve forecast accuracy
- Better statistical forecasts
• Manage by exception
- Multi-dimensional OLAP for analysis (product,
channel, geography, …)
- User-defined exceptions
- Proactive alerts/notifications
Oracle Demantra – Key Features
• Relational Data Model
• Flexible Web Based UI
• Advanced Statistical Forecasting Algorithm
• Workflow Enabled Collaboration
• Series
Flexible Web Based UI
• Collaborator Workbench
• Worksheets
Collaborator Workbench
• Serves as Home Page/Entry Point to the users
• Worksheets are typically opened from workbench
• Can be configured to display KPI’s/Metrics
• Displays task alerts sent by the system/other users
Collaborator Workbench Cont’d
Worksheets
• The worksheet is the primary user interface of Oracle Demantra
Spectrum.
• Worksheets are where user view and adjust the forecast as well as
view and edit other data
• Worksheets can be filtered to specific data set (i.e. Brand A, Item A)
• Worksheets can be easily created or modified
• A worksheet can contain one or more views, usually displayed as
tabs or Multi Dimension View (MDI) within the worksheet
• Worksheet data can be exported to Excel or copy and pasted it to
other software tools.
Worksheets – UI Components
Menu and
Toolbar
Table
Graph
Activity
Details
Embedded
Worksheet
Member
Browser
Notes and
Attachments
Status Bar
Workflow enabled Collaboration
• Why collaboration capabilities are important?
• It is extremely critical to bring sales, operations, finance and marketing to
agreement on a single forecast number.
• A platform that enables collaboration between these stakeholders will
result in a better aligned corporation marching towards a common goal.
• Ability to easily tailor process flows that is custom to each business
• Web based workflow development tool allows creating new workflows and
modifying canned workflows easy.
• For example, you can have a workflow that enables collaboration between
account manager, regional manager and country manager before
finalizing the forecast.
• Process to define and handle exceptions
• Create workflows to handle exception events such as over/under
forecasting and remediation plans
• Workflows to integrate external systems
• Facilitate integrating external systems’ data through workflows
• For example, loading external customer forecast into the system
Workflow enabled Collaboration
between Stakeholders
Expressions / Color Coding Alerts
Demantra Statistical Forecasting
Capabilities
• Time series forecasting with causal
factors
• Bayesian-Markov algorithm uses a
mixed statistical model that is better
than best-fit approaches.
• Forecast tree uses hierarchy to
determine the best levels to forecast
• For example, start at the lowest levels in
the hierarchy and then move up one
step at a time.
• Nodal tuning capabilities
• Promotional Forecasting capabilitiesCausal Analysis
Outlier Detection
Promotion Events
Seasonality
Cyclical Patterns
Trend
Historical data
Bayesian Estimator
Forecast
Multiple causal factors
Combined model
Bayesian Optimizer
Causal Factors
• Global Factors
- Model global causal factors
that apply to all products and
locations
- For example, holidays such as
Thanksgiving and Christmas,
seasons, etc
• Local Factors
- Local causal factors apply to a
specific product and location
- For example, a snow plough is
more likely to sell more during
snowy season in the North-
East than in Arizona.
• Improved forecast accuracy as
a result of better incorporation
of the causals.
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Glossary of Terms
For Oracle employees and authorized partners only. Do not distribute to third parties.
© 2010 Oracle Corporation – Proprietary and Confidential
Data Model
• Data Model represents a structure how data will be stored and
organized within the system
• Demantra Core Data Model structure made up of following 3
base dimensions
• Item Dimension
• Location Dimension
• Base Time Bucket (Daily or Week or Calendar Month)
• Item & Location Dimension contains one or more “Hierarchies”
(i.e. Customer Hierarchy, Product Family Hierarchy….etc)
• Each Hierarchy made up of two or more “Levels” and represents
“Child to Parent” relationship between them
• Demantra doesn’t allow “One to Many” child to parent relationship
i.e. If “Item” is a child level and “Product Family” is its parent level
then a given item can belong to only one product family.
Data Model Cont’d
Item & Location
DimensionHierarchy Level
Levels
For Oracle employees and authorized partners only. Do not distribute to third parties.
© 2010 Oracle Corporation – Proprietary and Confidential
• Used in worksheets, import or export integration interface, and statistical forecasting
• Types of levels:
– Items - group data according to characteristics of items
– Locations - group data according to characteristics of locations
– Matrix/Combinations - group data according to time-independent characteristics of item-location combinations (i.e. Forecast System Status)
– Time - group data by sales date
– General Levels
– Promotions - group data according to characteristics of Promotions including Item, Location and Time. Used in AFDM promotion modeling and PTP modules
– Settlements - group data according to characteristics of Settlements including Item, Location and Time. Used in DSM module.
– CTO – Stores Model BOM definitions for a Independent Demand Item (a.k.a. Base Model). Used in CTO, part of DM module
Series
For Oracle employees and authorized partners only. Do not distribute to third parties.
© 2010 Oracle Corporation – Proprietary and Confidential
• A set of data that can be displayed in a worksheet table or graph, at any aggregation level
• 3 data types of Series: Numeric, String, or Date
Workflow Manager
For Oracle employees and authorized partners only. Do not distribute to third parties.
© 2010 Oracle Corporation – Proprietary and Confidential
• Web-based
• Not accessible to most end users
• Used to define and run workflows
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