Oracle Retail Data Model Overview
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Retail Data ModelDatabase TechnologyAvailable Today!
Retail Domain Knowledge BI Technology
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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
Reduced Total Cost of Ownership
Fast, easy and predictable implementation, reduced technology & 3rd Party costs for both immediate and ongoing operations by leveraging pre-built content
Best in class
Modern, topical and relevant Data Model developed using deep retail market expertise with leading Data Warehousing and Business Intelligence technology
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Speed to ValueBuild from Scratch with Best of Breed Approach Training & Roll-out Define Metrics & Dashboards
Oracle Retail Data Model
Oracles Approach: Delivers retailer and market insight quickly Rapid implementation, predictable costs lead to higher ROI Combines deep retail market expertise with industry-leading technology
Data MovementTraining & Roll-out Define Metrics & Dashboard Data Movement Easy to Use, Easy to Adapt Comprehensive Retail Measures & Metadata for Business Intelligence Reporting & Ad-hoc Query Automatic Data Movement from your ARTS compliant 3NF schema to OLAP, Mining & Dimensional Schema 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
DW DesignDW Design
months or years
weeks or months
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Reduced Total Cost of Ownership
Comprehensive Industry Portfolio
Designed to Work Together
More Value Less Complexity
More Choice Less Risk
More Flexibility Less Cost
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Best-in-classOracle #1 for Retail Oracle #1 for Data Warehousing
Market Size is $6.7 Billion with 14.6% Growth YoY1
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Oracle Retail Data ModelAn Overview
Oracle Retail Data Model
Industry Standard Compliant (ARTS) Embedded strong Retail expertise 3NF Logical Data Model Physical Data Model designed & pretuned for Oracle Including Exadata Storage
Oracle Database Enterprise Edition
Oracle 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 ModelFoundation for Business Information FlowSell-Side POS (Point-of-Sale) Web stores & Catalog Order Management Inventory Optimization Advertising & Promotions Customer Service Workforce Scheduling Personalized Marketing
Buy-Side Advanced Planning & Scheduling (Demand Driven) Inventory Tracking Pricing Cost Forecasting Purchase Order Mgmt. Retail Partnerships Warehouse Mgmt.
Customer & Consumer Interaction
Retailer Sales Marketing Knowledge Knowledge Knowledge Demand Consumer Knowledge Knowledge
In-Side Manufacturing/Sourcing Sales Forecasting Inventory Tracking Inventory Knowledge Forecasting Knowledge
Data WarehouseMfg Perf. Knowledge Sourcing Knowledge
Oracle Retail Data ModelFoundation for Business Information FlowStore-sideRetailer Knowledge Marketing Knowledge Sales Knowledge
Consumer Knowledge Demand Knowledge Inventory Knowledge Forecasting Knowledge
Buy-sideSourcing Knowledge Mfg Perf. Knowledge Product Knowledge
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Oracle Retail Data ModelIndustry Coverage
Grocery Department Stores Discounters Hard Goods Apparel & Footwear Soft Goods Convenience Stores Gas Stations
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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 CoveragePre-Built Measures & KPIsStore Operations Point of Sale Loss Prevention Inventory Category Management Workforce Management Customer Promotion Order Management Store performance, Shopper Conversion, Comparative Store Analysis Multi Channel, POS Flow Unusual Transactions, Hidden Patterns, Attribute Analysis
Merchandising Merchandise Performance, Item-Basket, Fast & Slow Movers Inventory State Analysis, Forecast out-of-stock and zero selling. Product Mix, Shelf Analysis, Customer Purchase vs. Syndicated Data Employee Utilization, SPIFF & Split Commission Analysis Clustering & Segment - Creation, Migration, Analysis Causal Factor, Halo Impact & Promotional Lift Integrated Analytic between e-commerce and Retail
Business Area CoveragePre-Built Measures & KPIsMerchandising Merchandising 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
Store Operations Store Operations 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. doesnt Identifying potential risks for out of stocks
Category Management 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
Marketing Role: Commonly a marketing analyst Identify consumer spending habits using market data Analyzing a retailers loyalty program customers to better target campaigns Measuring customer promotion response rates
Oracle Retail Data ModelComponents
Base Layer (3NF)
Derived & Aggregate Layer
Oracle Retail Data ModelWhy multiple layersIntelligent Interactions (Data Mining)Is the product assortment optimal for all my regions?
Fact-Based Actions (OLAP, Statistics)What are my potential out-of-stock situations?
Performance Management (KPI, Guided Analytics)How is the business doing compared to last year? Compared to plan?
Slice/Dice, Ad-hoc, Query , BI ToolsWhat is my gross margin return on space?
Transactional ReportingHow are my catalog and internet sales performing?
Oracle Retail Data ModelAutomatic Data Movement
Oracle Retail Data Model
Intra-ETL Derived (Derived)
Source ETL (Data Quality, Staging, Interface)
Leveraging Data Warehouse FeaturesEmbedded as part of VLDB design, not an afterthoughtPartitioning Partitioned Outer Join Reference Architecture Frequent Item Set Advanced Statistics Ranking Lag / Lead
Compression 3-5x Storage Savings
OLAP Time Series Forecasting
Data Mining Classification (ABN/Decision Tree) Association Rules (Apriori)
Materialized Views User Choice SQL Rewritten
Differentiator: Smart Inventory ReportsOut of Stock Forecast (using built-in Forecasting & OLAP cubes numerous methods supported)
OLAP forecasting of sales & inventory to predict potential stock shortage See which forecasting method fits best
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Differentiator: Smart Category ReportProduct Category Mix Analysis: Suggest Items/Categories to Merchandise Together using a Pre-built Mining ModelAnalyzes 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?]
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Why Oracle Retail Data Model?Top 10 Reasons
1 2 3 4 5
Retail expertise with best-in-class technology ARTS based normalized data model
Easily extendable & customizable model Usable within any retail environment Designed and optimized for VLD