IdentifyOver 90 Days

Automated Data Analytics Strategy

ID: 5794491-30

Potential Value

$1,993,511

Deal Value

$0

Stated Probability

10%

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

Sep 8, 2028

Close Date

N/A

Details

Description

Automated Data Analytics Strategy

Triage & Expected Value

Triage Model: P(Pursue)

Predicts likelihood of pursuit vs. decline

P(Pursue)

29.5%

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

$172,074

Key Triage Drivers

Work type
+0.620
Service sub-line track record
-0.462
US Federal business unit
-0.269

Win Probability Models

P(Pursue)

29.5%

Model A: Planning

29.3%

Model B: Early Signal

8.1%

Stated Probability

10%

Model A: Planning

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

Win Probability

29.3%

Key Drivers

Time in current pipeline stage
-1.411
Brand new pursuit (vs renewal)
-1.000
Lead sales credit %
-0.672

Plain English

The model a: planning estimates a low probability of winning (29%). 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

8.1%

Key Drivers

Brand new pursuit (vs renewal)
-0.791
Currency (USD vs other)
-0.460
Market segment
-0.460

Plain English

The model b: early signal estimates a low probability of winning (8%). Factors working against: brand new pursuit (vs renewal), currency (usd vs other), market segment.