Value Driven Regulatory Use Case Simulation

Value Driven Regulatory Use Case Simulation

Aaron Benningfield, PMP208.585.1798aaron.b.benningfield@outlook.com

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

Follow Up?

Please Feel Free to Contact:

• Aaron Benningfield, PMP• 208.585.1798• aaron.b.benningfield@outlook.com