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
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
