The document outlines a value-driven regulatory use case simulation by Aaron Benningfield, detailing a process to transform regulatory text into a business rules library aimed at identifying revenue opportunities. It describes methods for gathering and analyzing customer and product data, including demographic and behavioral insights, to optimize product offerings based on regulatory environments. The document emphasizes the importance of data integration and the creation of targeted strategies to drive business value while navigating compliance challenges.

1. Value Driven Regulatory Use Case Simulation
Aaron Benningfield, PMP
208.585.1798
aaron.b.benningfield@outlook.com
For Further Discussion Please Contact:

2. Uncovering Value…
*Operates across the Processing Rules Engine and Value EngineImages captured from: flaticon.com and google.com/images
Business
Imperatives
Enabled
Through
Technical
Capabilities
Regulatory & Legal
Documentation
Text Transformation
Tool & Algorithms
Processing Rules
Engine
Value Engine
Transforms regulatory
electronic text into a
electronic business rules
library for driving
opportunities.
Processes the business
rules library & disparate
data sources to develop
organizational value.
• New Revenue Streams
• Opportunities
• Knowledge Base &
Intellectual Property
CaptureHidden
Value & Opportunities
Driving Business &
Technical Strategies
Value Framework
Creation
Identifying
Value
Blockchain

3. • 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

4. TEXT
TRANSFORMATION
TOOLS
Transformed
Business
Rules
DATA LAKE
BLOCKCHAIN
PROCESSING
RULES
ENGINE
VALUE
ENGINE
Processed
Data
END – END Architecture High Level View

5. 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

6. Step 1: Gather relevant product information from social media & organizational data.
Identifying Products…
L1 L2 L3 L3 L3 L3
Cosmetics 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

7. Step 2: Capture relevant customer information from social media & organizational data.
Capturing Relevant Customer Information…
L1 L2 L2 L2 L2 L3
Demographic
Details
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

8. 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…

9. 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

10. 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

11. Follow Up?
Please Feel Free to Contact:
• Aaron Benningfield, PMP
• 208.585.1798
• aaron.b.benningfield@outlook.com