IdentifyPast Due

Predictive Data Analytics Architecture (Amended)

ID: 6883094-50

Potential Value

$750,000

Deal Value

$0

Stated Probability

50%

Days in Pipeline

104

Client & Account

Client

Copper Municipal Group

City

Atlanta

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

Smith Barbara

Pursuit Leader

Kobayashi Laura

Open Date

Jan 29, 2026

Anticipated Win Date

Feb 27, 2026

Close Date

N/A

Details

Description

Predictive Data Analytics Architecture (Amended)

Triage & Expected Value

Triage Model: P(Pursue)

Predicts likelihood of pursuit vs. decline

P(Pursue)

46.5%

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

$270,246

Key Triage Drivers

Work type
+0.621
Service sub-line track record
-0.504
Opportunity business unit
+0.366

Win Probability Models

P(Pursue)

46.5%

Model A: Planning

77.5%

Model B: Early Signal

40.5%

Stated Probability

50%

Model A: Planning

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

Win Probability

77.5%

Key Drivers

Brand new pursuit (vs renewal)
+1.594
Deal age (days since open)
-0.984
Lead sales credit %
-0.768

Plain English

The model a: planning estimates a high probability of winning (77%). Factors working in favor: brand new pursuit (vs renewal). Factors working against: deal age (days since open), lead sales credit %.

Model B: Early Signal

Excludes timeline factors. Better for early-stage assessment.

Win Probability

40.5%

Key Drivers

Brand new pursuit (vs renewal)
+1.145
Service sub-line track record
-0.492
Market segment
-0.418

Plain English

The model b: early signal estimates a moderate probability of winning (41%). Factors working in favor: brand new pursuit (vs renewal). Factors working against: service sub-line track record, market segment.