value driven regulatory use case simulation
TRANSCRIPT
Value Driven Regulatory Use Case Simulation
Aaron Benningfield, [email protected]
For Further Discussion Please Contact:
Uncovering Value…
*Operates across the Processing Rules Engine and Value EngineImages captured from: flaticon.com and google.com/images
Business Imperatives
EnabledThrough
Technical Capabilities
• Social Media• Cultural Trends
• Regulatory Rules• Business Rules
• Master Data (ERP)• Product Data• Customer Data
Data Integration
Talend
• Denodo• Talend• Amazon Redshift
Cloud
• Processing• Database• File System
Processing Rules Engine
Value Engine
Integration Architecture High Level View
• Denodo• Talend• Amazon Redshift
TEXT TRANSFORMATION
TOOLS
Transformed Business Rules
DATA LAKE
BLOCKCHAIN
PROCESSING RULES ENGINE
VALUEENGINE
Processed Data
END – END Architecture High Level View
A Sample Hypothesis…
Hypothesis: Identify products for sale in a GEO.
Use Case Method: Run simulations using:
Processing Rules Engine
Social Media Data
Organizational Data
Step 1: Gather relevant product information from social media & organizational data.
Identifying Products…
L1 L2 L3 L3 L3 L3Cosmetics Face Cream Color Brand Cost Range Volume
Eye Shadow Shade Brand Cost Range Volume
Lipstick Shade Brand Cost Range Volume
Shoes Sneaker Color Brand Cost Range Foot Size
Boots Color Brand Cost Range Foot Size
Sandal Color Brand Cost Range Foot Size
Step 2: Capture relevant customer information from social media & organizational data.
Capturing Relevant Customer Information…
L1 L2 L2 L2 L2 L3DemographicDetails
Gender (M/F/TG) Age Group Location (Urban/City)
Income (monthly) Household Members
M 10-18 Urban >$1 2+
F 19-27 Town $1-100 3-5
TG 28-36 City 100.01-500 6-8
36-45 Metropolis 500.01+ 9+
Behavioral Details Emotional State Other Parameters Influenced By
Happy Known Purchases Brand
Angry Friends
Depressed Money
Advertisements
Piece of the Puzzle Comments
Customer - Age Group
Customer - Location City, Village etc.
Product - Type
Product - Brand
Product - Volume
Match product against customer “archetype”.
Ex: From the matching, we conclude male city dwellers like sneakers, female village dwellers like sandals.
Now we have further defined that we should sell sneakers to city dwellers which equates to products.
Step 3: Identify which group of people/gender are more likely to purchase our products.
Segmenting Customers…
Step 4: Understanding the regulatory environment to drive revenue & opportunities.
Three Opportunity Scenarios…
1. Identify GEO. specific product and appropriate customer data.
2. Cross-reference the business rules library for GEO. dependent laws, regulations etc.
3. Develop targeted strategies & execute.
Bottoms Up1
1. Use the business rules library to identify GEO. dependent laws, regulations etc.
2. Cross-reference and incorporate GEO. specific product and appropriate customer data.
3. Develop targeted strategies & execute.
Top Down2
Cross-sell & Upsell3
1. Using scenarios 1 & 2, identify cross-sell & upsell opportunities.
2. Define targeted strategies and execute.
1 2
Step 5: Extrapolate benefits.
This step extrapolates the additional benefits to enhance your strategies.
Extrapolating Benefits…
Examples:
Streamlined Shipping Accurate Customer Sentiment Pricing & Margin Enhancement Tax Optimization
