IdentifyOver 90 Days

Cross-Functional Internal Audit Optimization (Amended)

ID: 6117820-40

Potential Value

$3,438,911

Deal Value

$0

Stated Probability

50%

Days in Pipeline

615

Client & Account

Client

Azure Agency

City

Dallas

Region

USLI

Sub-Sector

FED

Service Classification

Service Line

Consulting

Field of Play

Risk

Opportunity Sub-SL

Risk´

Competency

Financial Risk Management

Global Service Code

Cybersecurity Operations (48230)

People & Dates

Partner

Liu Larry

Pursuit Leader

Moore Helen

Open Date

Sep 5, 2024

Anticipated Win Date

Aug 8, 2029

Close Date

N/A

Details

Description

Cross-Functional Internal Audit Optimization (Amended)

Triage & Expected Value

Triage Model: P(Pursue)

Predicts likelihood of pursuit vs. decline

P(Pursue)

41.2%

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

$247,052

Key Triage Drivers

Work type
+0.636
Service sub-line track record
-0.454
US Federal business unit
-0.290

Win Probability Models

P(Pursue)

41.2%

Model A: Planning

17.4%

Model B: Early Signal

4.0%

Stated Probability

50%

Model A: Planning

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

Win Probability

17.4%

Key Drivers

Time in current pipeline stage
-1.461
Brand new pursuit (vs renewal)
-1.101
Deal size vs service line median
-0.749

Plain English

The model a: planning estimates a low probability of winning (17%). Factors working against: time in current pipeline stage, brand new pursuit (vs renewal), deal size vs service line median.

Model B: Early Signal

Excludes timeline factors. Better for early-stage assessment.

Win Probability

4.0%

Key Drivers

Brand new pursuit (vs renewal)
-0.841
Deal size vs service line median
-0.633
Currency (USD vs other)
-0.457

Plain English

The model b: early signal estimates a low probability of winning (4%). Factors working against: brand new pursuit (vs renewal), deal size vs service line median, currency (usd vs other).