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use case:sales opportunity finder

The Business Problem - Step 1

Ed is a sales manager who wanted to increase his revenue through data.

Business 

Analysts

Asked wrong questions

Data 

Engineers

Could not combine data sources

Data 

Scientists

Could not provide actionable insights

After 6 months, Ed spent $1M and did not increase his revenue.

Data Blueprint / Spine - Step 2

Data Sources

Sales

Spreadsheets

Calls

CRM

Marketshare

Database

Foot Traffic

Third Party App

Data Transformation

Aggregate

by region

Aggregate

by product

Aggregate

by customer

Enrich with

geocode layer

Aggregate

by region

Aggregate

by product

Aggregate

by region

Filter by

institution type

Interface

Dashboard

Mobile App

Generative AI

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Currently With Eisengard - Step 3

Eisengard used proven frameworks to ask the right questions and create a sales opportunity tool

Business 

Analysts

Consolidated all data sources to feed into one tool

Data 

Engineers

Data 

Scientists

Eisengard's data scientists discovered novel insights to refine tool's effectiveness

After 2 months, Ed increased his ROI by 500%

Sales Opportunity Finder In Action

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