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Oracle Retail Data Model – Overview
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Retail Data Model
AvailableToday!
Database Technology
Retail Domain Knowledge
BI Technology
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Key Messages
Speed to
Value
Standards-based, pre-built, pre-tuned data model with intelligent insight into detailed retailer and market data enabling retailers to quickly gain value
Best in classModern, topical and relevant Data Model developed using deep retail market expertise with leading Data Warehousing and Business Intelligence technology
Reduced Total
Cost of Ownership
Fast, easy and predictable implementation, reduced technology & 3rd Party costs for both immediate and on-going operations by leveraging pre-built content
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Pre-built DW Schema (3NF,STAR,OLAP) with Retail best Practice embedded and Pre-tuned for Oracle data warehouses, including the HP Oracle DB Machine
Automatic Data Movement from your ARTS compliant 3NF schema to OLAP, Mining & Dimensional Schema
Comprehensive Retail Measures & Metadata for Business Intelligence Reporting & Ad-hoc Query
Easy to Use, Easy to Adapt
Build from Scratch withBest of Breed Approach Oracle Retail Data Model
weeks or monthsmonths or years
Speed to Value
DW Design
DW Design
Data Movement
Data Movement
Define Metrics & Dashboards
Define Metrics& Dashboard
Training & Roll-out
Training & Roll-out
• Delivers retailer and market insight quickly
• Rapid implementation, predictable costs lead to higher ROI
• Combines deep retail market expertise with industry-leading technology
Oracle’s Approach:
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More Value Less Complexity
More Flexibility Less Cost
More Choice Less Risk
Comprehensive Industry Portfolio
Complete
Standards-Based Architecture
Open
Designed toWork Together
Integrated
Reduced Total Cost of Ownership
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Best-in-class
Market Size is $6.7 Billion with 14.6% Growth YoY1
Oracle #1 for Retail Oracle #1 for Data Warehousing
Partitioning
OLAP
RAC
Data Mining
Compression
Oracle Exadata Storage
Oracle Retail Data Model
Oracle Database Enterprise Edition
• Industry Standard Compliant (ARTS)
• Embedded strong Retail expertise
• 3NF Logical Data Model
• Physical Data Model designed & pre-tuned for Oracle
– Including Exadata Storage
• Industry-specific measures & KPIs
• Pre-built OLAP models
• Pre-built Data Mining models
• Usable within any Retail Application Environment
• Sample reports and dashboards
– Based on Oracle BI EE Plus
Oracle Retail Data ModelAn Overview
Sell-Side
Distributors
Partners
Suppliers
Customer & Consumer InteractionCustomer & Consumer Interaction
In-Side
• POS (Point-of-Sale)
• Web stores & Catalog
• Order Management
• Inventory Optimization
• Advertising & Promotions
• Customer Service
• Workforce Scheduling
• Personalized Marketing
• Manufacturing/Sourcing
• Sales Forecasting
• Inventory Tracking
Buy-Side
DataDataWarehouseWarehouse
SalesKnowledge
ConsumerKnowledge
SourcingKnowledge
DemandKnowledge
InventoryKnowledge
ForecastingKnowledge
ProductKnowledge
• Advanced Planning & Scheduling (Demand Driven)
• Inventory Tracking
• Pricing
• Cost Forecasting
• Purchase Order Mgmt.
• Retail Partnerships
• Warehouse Mgmt.
RetailerKnowledge
MarketingKnowledge
Mfg Perf.Knowledge
Oracle Retail Data ModelFoundation for Business Information Flow
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Oracle Retail Data ModelFoundation for Business Information Flow
Store-side
In-side
Buy-side
Data Warehouse
Sales Knowledge
Consumer Knowledge
Sourcing Knowledge
Demand Knowledge
Inventory Knowledge
Forecasting Knowledge
Product Knowledge
Retailer Knowledge
Marketing Knowledge
Mfg Perf. Knowledge
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Grocery
Department Stores
Discounters
Hard Goods
Apparel & Footwear
Soft Goods
Convenience Stores
Gas Stations
Oracle Retail Data ModelIndustry Coverage
Oracle Retail Data ModelKey Statistics
• Data Model Contents
– 650+ Tables and 10,500+ Attributes (“ARTS++”)
– Industry-specific 1200+ Measures & KPIs with Business and Technical Definitions
– 4 Pre-built Analytical Workspaces
– 12 Pre-built Data Mining Models– Automatic Data Movement from 3NF to STAR schema, OLAP Cubes and Data Mining Models
– Sample Reports & Dashboards using OBIEE
• Designed and optimized for Oracle data warehouses, including the HP Oracle Database Machine
• Central repository for atomic level data
• Rapid implementation
Business Area Coverage Pre-Built Measures & KPIs
Store
OperationsStore performance, Shopper Conversion, Comparative Store Analysis
Point of Sale Multi Channel, POS Flow
Loss
Prevention Unusual Transactions, Hidden Patterns, Attribute Analysis
Merchandising Merchandise Performance, Item-Basket, Fast & Slow Movers
Inventory Inventory State Analysis, Forecast out-of-stock and zero selling.
Category
ManagementProduct Mix, Shelf Analysis, Customer Purchase vs. Syndicated Data
Workforce
ManagementEmployee Utilization, SPIFF & Split Commission Analysis
Customer Clustering & Segment - Creation, Migration, Analysis
Promotion Causal Factor, Halo Impact & Promotional Lift
Order
ManagementIntegrated Analytic between e-commerce and Retail
Merchandising Store Operations
Business Area Coverage Pre-Built Measures & KPIs
• Role: Commonly a merchant or planner• Product ‘stars’ and ‘dogs’• Inventory levels vs. planned inventory levels• Suppliers that help / hinder performance• Identifying locations that over/under perform
Merchandising
• Role: Commonly a store manager• Store traffic patterns to determine staffing• Understand opportunities to control loss• Relative store performance rankings• Identify what sells in the stores vs. doesn’t• Identifying potential risks for out of stocks
Store Operations
• Role: Commonly a Category Manager• Controlling purchase costs• Reviewing supplier item coverage• Understanding consumer purchases of new / current products vs. market data
• Determining store layouts and planogams
Category Management
• Role: Commonly a marketing analyst• Identify consumer spending habits using market data
• Analyzing a retailer’s loyalty program customers to better target campaigns
• Measuring customer promotion response rates
Marketing
Oracle Retail Data ModelComponents
Base Layer (3NF) Derived & Aggregate Layer Sample Reports
Value
Generation Step
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Transactional ReportingTransactional Reporting
Slice/Dice, AdSlice/Dice, Ad--hoc, Query , BI Tools hoc, Query , BI Tools
Performance Management (KPI, Guided Analytics)Performance Management (KPI, Guided Analytics)
FactFact--Based Actions (OLAP, Statistics) Based Actions (OLAP, Statistics)
Intelligent Interactions (Data Mining) Intelligent Interactions (Data Mining)
•How are my catalog and internetsales performing?
•What is my gross margin return on space?
•How is the business doing compared to last year? Compared to plan?
•What are my potential out-of-stock situations?
•Is the product assortment optimal for all my regions?
Reporting
Analysis
Forecasting
Predictive
Oracle Retail Data ModelWhy multiple layers
Oracle Retail Data Model
Source ETL (Data Quality, Staging, Interface)
OLTP Systems
3NF Base
Reference
Lookup
Intra-ETL (Derived)
Derived Intra-ETL (Aggregate)
Aggregate
Oracle Retail Data ModelAutomatic Data Movement
Leveraging Data Warehouse FeaturesEmbedded as part of VLDB design, not an afterthought
•Partitioned Outer Join •Frequent Item Set •Ranking
•Lag / Lead
•3-5x Storage Savings •Time Series
•Forecasting
•Classification (ABN/Decision Tree)
•Association Rules (Apriori)
•User Choice
•‘SQL’ Rewritten
Partitioning Reference Architecture Advanced Statistics
Compression OLAP Data Mining
Materialized Views
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OLAP forecasting of sales & inventory to predict potential stock shortage
See which forecasting method fits best
Differentiator: Smart Inventory ReportsOut of Stock Forecast (using built-in Forecasting & OLAP cubes –
numerous methods supported)
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Analyzes Sales Transactions using the Association Rules (Apriori) Model to understand the Product Category Mix [If a Customer buys A and C, what is the likelihood the Customer would buy D?]
Differentiator: Smart Category ReportProduct Category Mix Analysis: Suggest Items/Categories to
Merchandise Together using a Pre-built Mining Model
Retail expertise with best-in-class technology
ARTS based normalized data model
Modern and topical with retail depth and breadth
Intelligent retail insight using OLAP & Mining
Extensive business intelligence metadata
1 Easily extendable & customizable model
Usable within any retail environment
Designed and optimized for VLDB
Automated data flow between components
Reduced implementation risk
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Why Oracle Retail Data Model?Top 10 Reasons
HP Oracle Database Machine / Storage
Database
Middleware
Oracle Retail Data Model
Business Intelligence Foundation
EPM Applications
EPM Workspace
BI Applications
The Oracle Solution SetComplete, Integrated, Open
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Oracle Retail Data Model