IdentifyWithin 30 Days

Dynamic Finance Optimization - FY25

ID: 2818596-40

Potential Value

$50,000

Deal Value

$0

Stated Probability

10%

Days in Pipeline

463

Client & Account

Client

Milestone Regional Commission

City

Chicago

Region

USLI

Sub-Sector

SLED

Service Classification

Service Line

SaT

Field of Play

Strategy & Transformation

Opportunity Sub-SL

Strategy and Execution

Competency

S&E - Reimagine Reshape & Grow

Global Service Code

Healthcare Strategy (58866)

People & Dates

Partner

Johnson Miguel

Pursuit Leader

Lee Emma

Open Date

Feb 4, 2025

Anticipated Win Date

Apr 30, 2026

Close Date

N/A

Details

Description

Dynamic Finance Optimization - FY25

Triage & Expected Value

Triage Model: P(Pursue)

Predicts likelihood of pursuit vs. decline

P(Pursue)

47.3%

Expected Value (EV = P(Pursue) × P(Win) × Value)

$5,499

Key Triage Drivers

Work type
+0.613
Opportunity business unit
+0.486
Service sub-line track record
-0.479

Win Probability Models

P(Pursue)

47.3%

Model A: Planning

23.3%

Model B: Early Signal

9.8%

Stated Probability

10%

Model A: Planning

Includes deal age and timeline factors. Best for active pipeline management.

Win Probability

23.3%

Key Drivers

Time in current pipeline stage
-1.593
Brand new pursuit (vs renewal)
-1.118
Lead sales credit %
-0.659

Plain English

The model a: planning estimates a low probability of winning (23%). Factors working against: time in current pipeline stage, brand new pursuit (vs renewal), lead sales credit %.

Model B: Early Signal

Excludes timeline factors. Better for early-stage assessment.

Win Probability

9.8%

Key Drivers

Brand new pursuit (vs renewal)
-0.797
Service sub-line track record
-0.512
Sub-sector track record
-0.502

Plain English

The model b: early signal estimates a low probability of winning (10%). Factors working against: brand new pursuit (vs renewal), service sub-line track record, sub-sector track record.