VCP Data Score
Can Your Data Support Your Value Creation Plan?
The largest PE firms run structured technology assessments across their portfolios. They score data maturity, identify gaps in value creation plan execution, and prioritize remediation before problems surface in diligence.
Most mid-market firms skip this step. The VCP gets written. The data to execute it gets assumed. Then 18 months in, the plan stalls because nobody can produce the numbers it requires.
This assessment scores your data across five dimensions that determine whether a value creation plan delivers. Two minutes. Dimension-level results.
Five Dimensions of VCP Data Readiness
Revenue & Financial Data
Pricing integrity, margin visibility, cohort-level analysis
Customer & Market Intelligence
Segmentation depth, churn tracking, lifetime value clarity
Operational Visibility
Cost driver transparency, capacity utilization, process measurement
Data Infrastructure
System integration, automation maturity, data accessibility
Reporting & Governance
Metric definitions, ownership, reproducibility under scrutiny
Score Your VCP Data Readiness
10 questions across 5 dimensions. Select the answer that best describes your current state.
Can your finance team produce monthly revenue by customer, product line, and geography for the last 3 years without manual reconciliation?
Do your gross margin calculations use consistent cost allocation rules that would hold up under third-party scrutiny?
Can you identify your top 20 customers by lifetime value, calculate net revenue retention, and segment by acquisition channel?
Do you have a single, clean customer master that sales, marketing, finance, and operations all reference?
Can you quantify your top 5 cost drivers and track them monthly with enough granularity to identify optimization opportunities?
If your operating partner asked for a procurement savings analysis or headcount productivity report, how fast could you deliver it?
How does data move between your core business systems (CRM, ERP, billing, HR, marketing)?
If a key system went down or a critical integration broke, would you know within an hour?
Are your top 10 KPIs defined in writing with a single methodology that every team, board deck, and investor report uses?
Is there a named individual accountable for data quality with authority to enforce standards across departments?
Your VCP Is Only as Strong as the Data Behind It
Value creation plans look great on paper. Pricing optimization. Procurement savings. GTM efficiency. Operational leverage. Every line item makes sense in the boardroom.
Then execution starts. The pricing analysis needs customer-level margin data that does not exist in a usable format. The procurement savings target needs spend data by vendor, category, and business unit that lives in three different systems. The GTM efficiency play needs clean pipeline data, win/loss attribution, and CAC by channel.
The plan is not wrong. The data to execute it is missing.
This is the gap between a VCP that drives returns and a VCP that becomes a quarterly reporting exercise. The firms that close this gap early in the hold period compound the advantage. The ones that discover it late lose quarters they cannot get back.
About Crawford McMillan
The largest PE firms employ dedicated technology assessment teams to score portfolio company data maturity, identify value creation gaps, and de-risk exits. Mid-market firms don't have that bench. Crawford McMillan is the outsourced version of that capability.
20 years of Fortune 100 data leadership. Cloud migrations saving hundreds of millions. Real-time systems powering billion-dollar decisions. Now focused on mid-market PE.
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