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The Future of
Business Intelligence
For CPG Retailers
Prepared by
Mark Feltham
Retail Information Consultant
416.884.6708
MARK FELTHAM
BUSINESS INTELLIGENCE LEADERSHIP
416.884.6708
Objectives
• Build an insight-driven decision support and performance model for
all functions across the retail enterprise
• Provide metrics and analytics for executing all retail functions with
precision and calculated excellence
• Leverage investments in customers, tools and infrastructure for true
competitive advantage
2
MARK FELTHAM
BUSINESS INTELLIGENCE LEADERSHIP
416.884.6708
Local store
purchasing has
evolved to
centralized DCs
and now to large
scale localized
assortment
Evolution of Retail Functions
Well defined
categories across
clear banner
stratification
gives retailers
merchandising
optimization
Opportunity to
collaborate with
vendors to
achieve mutual
objectives
Private Label
brand
development
with a direct
consumer value
proposition
Robust shopper
profiles tied to
rich transaction
data providing
exclusive metrics
to optimize all
aspects of retail
3
Innovation/Retail Brand Loyalty ManagementVendor ManagementSupply Chain Space/Cat Management
MARK FELTHAM
BUSINESS INTELLIGENCE LEADERSHIP
416.884.6708
National Retailer Levels of Decision
Making
Strategy
Manage
Operate
Head Office Strategic Planning
National Marketing
Strategic Procurement
Regional Management and Marketing
Regional trade promotions
Store level Assortment and Merchandising
Promotion Execution
Customer engagement
4
MARK FELTHAM
BUSINESS INTELLIGENCE LEADERSHIP
416.884.6708
Accountability Matrix
Intersecting Decision Level with Retail Function
Innovation/Retail Brand Loyalty ManagementVendor ManagementSpace/Cat ManagementSupply Chain
Strategy
Manage
Operate
5
MARK FELTHAM
BUSINESS INTELLIGENCE LEADERSHIP
416.884.6708
Business Intelligence Practice Areas
Supporting each intersection of the Accountability
Matrix
Innovation/Retail Brand LoyaltyVendor ManagementSupply Chain
Strategy
Manage
Operate
Space/Cat Management
6
Supply chain work-flow
analysis
Assortment consistent with
Corporate Strategy & Brand
Comp / Market Intelligence
Store Format / Brand
Management
Consumer Analytics &
Segmentation
Supply & Demand Analytics
Adjacent product Impact
Analysis
Balance of Power analysis
Private Label Opportunity
Identification
Banner/Format
Value Analysis
Capacity & Network Analysis SKU contribution Analysis SKU/ Customer Profitability
Regional Marketing Mix
Analysis
Current Product Portfolio
Analysis
Order-to-Cash Process Analysis
Cross elasticity &
OOS/Substitution dynamics
Sales Volume Forecasting
New Product/Format Concept
Testing & Forecasting
Profitability analysis by
consumer segment
OOS triggers and Analytics In-store merchandising Trade Spend budgeting
Pricing Optimization against
National Brands
Custom Offer Redemption
Phantom Stock Display Compliance Localized Assortment Analytics Item Profitability Analysis
Marketing Communication
Effectiveness
Demand Management Shelf POG maintenance
Trade promotion effectiveness
Post-event analysis
Commercialization
Performance Benchmarking
Localized Demand
management
MARK FELTHAM
BUSINESS INTELLIGENCE LEADERSHIP
416.884.6708
Practice Area Contributors
• Shopper analytics
• Owns the loyalty pillar
• Forms the nucleus of the “Profile of the Consumer” metrics
• Utilizing 3rd party geo-demo data for enhanced shopper attribution
• Further determine drivers of demand from best customers
• Identify other potential high value customers
• Market research
• Drives the Innovation Pillar based on metrics
• Provides validation of opportunities in concert with Shopper Analytics
• Location Research
• Shapes localization strategy
• Works most closely with store level execution for local model tuning
• All work in concert as servants to the operations groups
• Enhanced forecasting tools
• Performance metrics
• Execution backbone for custom messaging for Marketing
7
MARK FELTHAM
BUSINESS INTELLIGENCE LEADERSHIP
416.884.6708
Mark Feltham
• Experience
• Executed this level of change management previously at Nielsen
championing StoreView store-level data
• Increased the frequency of Retailer data from 4 weekly to weekly
• Accelerated delivery of Retailer data from 4 weeks to 2 weeks post period
• Experience at commercializing the value of collaboration metrics
• Knowledge
• Over a decade of work leveraging Business Intelligence systems and metrics
• Blue Ocean Strategy process improvement champion
• Architect-level data warehouse understanding
• Passion
• Providing business technology solutions drives me
• Enthusiasm for the art of the possible inspires those I lead
• My team’s Inspiration attracts those we seek to serve
8

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Retail practice areas

  • 1. The Future of Business Intelligence For CPG Retailers Prepared by Mark Feltham Retail Information Consultant 416.884.6708
  • 2. MARK FELTHAM BUSINESS INTELLIGENCE LEADERSHIP 416.884.6708 Objectives • Build an insight-driven decision support and performance model for all functions across the retail enterprise • Provide metrics and analytics for executing all retail functions with precision and calculated excellence • Leverage investments in customers, tools and infrastructure for true competitive advantage 2
  • 3. MARK FELTHAM BUSINESS INTELLIGENCE LEADERSHIP 416.884.6708 Local store purchasing has evolved to centralized DCs and now to large scale localized assortment Evolution of Retail Functions Well defined categories across clear banner stratification gives retailers merchandising optimization Opportunity to collaborate with vendors to achieve mutual objectives Private Label brand development with a direct consumer value proposition Robust shopper profiles tied to rich transaction data providing exclusive metrics to optimize all aspects of retail 3 Innovation/Retail Brand Loyalty ManagementVendor ManagementSupply Chain Space/Cat Management
  • 4. MARK FELTHAM BUSINESS INTELLIGENCE LEADERSHIP 416.884.6708 National Retailer Levels of Decision Making Strategy Manage Operate Head Office Strategic Planning National Marketing Strategic Procurement Regional Management and Marketing Regional trade promotions Store level Assortment and Merchandising Promotion Execution Customer engagement 4
  • 5. MARK FELTHAM BUSINESS INTELLIGENCE LEADERSHIP 416.884.6708 Accountability Matrix Intersecting Decision Level with Retail Function Innovation/Retail Brand Loyalty ManagementVendor ManagementSpace/Cat ManagementSupply Chain Strategy Manage Operate 5
  • 6. MARK FELTHAM BUSINESS INTELLIGENCE LEADERSHIP 416.884.6708 Business Intelligence Practice Areas Supporting each intersection of the Accountability Matrix Innovation/Retail Brand LoyaltyVendor ManagementSupply Chain Strategy Manage Operate Space/Cat Management 6 Supply chain work-flow analysis Assortment consistent with Corporate Strategy & Brand Comp / Market Intelligence Store Format / Brand Management Consumer Analytics & Segmentation Supply & Demand Analytics Adjacent product Impact Analysis Balance of Power analysis Private Label Opportunity Identification Banner/Format Value Analysis Capacity & Network Analysis SKU contribution Analysis SKU/ Customer Profitability Regional Marketing Mix Analysis Current Product Portfolio Analysis Order-to-Cash Process Analysis Cross elasticity & OOS/Substitution dynamics Sales Volume Forecasting New Product/Format Concept Testing & Forecasting Profitability analysis by consumer segment OOS triggers and Analytics In-store merchandising Trade Spend budgeting Pricing Optimization against National Brands Custom Offer Redemption Phantom Stock Display Compliance Localized Assortment Analytics Item Profitability Analysis Marketing Communication Effectiveness Demand Management Shelf POG maintenance Trade promotion effectiveness Post-event analysis Commercialization Performance Benchmarking Localized Demand management
  • 7. MARK FELTHAM BUSINESS INTELLIGENCE LEADERSHIP 416.884.6708 Practice Area Contributors • Shopper analytics • Owns the loyalty pillar • Forms the nucleus of the “Profile of the Consumer” metrics • Utilizing 3rd party geo-demo data for enhanced shopper attribution • Further determine drivers of demand from best customers • Identify other potential high value customers • Market research • Drives the Innovation Pillar based on metrics • Provides validation of opportunities in concert with Shopper Analytics • Location Research • Shapes localization strategy • Works most closely with store level execution for local model tuning • All work in concert as servants to the operations groups • Enhanced forecasting tools • Performance metrics • Execution backbone for custom messaging for Marketing 7
  • 8. MARK FELTHAM BUSINESS INTELLIGENCE LEADERSHIP 416.884.6708 Mark Feltham • Experience • Executed this level of change management previously at Nielsen championing StoreView store-level data • Increased the frequency of Retailer data from 4 weekly to weekly • Accelerated delivery of Retailer data from 4 weeks to 2 weeks post period • Experience at commercializing the value of collaboration metrics • Knowledge • Over a decade of work leveraging Business Intelligence systems and metrics • Blue Ocean Strategy process improvement champion • Architect-level data warehouse understanding • Passion • Providing business technology solutions drives me • Enthusiasm for the art of the possible inspires those I lead • My team’s Inspiration attracts those we seek to serve 8

Editor's Notes

  1. 1980s Distribution channelSupply chain efficienciesAutonomy at the store1990’s Vendor managementCentralization / ConcentrationProduct mix balanced and dictated2000’sPrivate label brand depthRetail branding and differentiating strategies2010 – beyond Consumer relationship development and retentionConsumer partner