Draft a risk-adjusted Pricing Calculator workbook for agile data-analytics engagements with built-in contingency triggers for scope creep based on data quality variables

Generate draft a risk-adjusted pricing calculator workbook for agile data-analytics engagements with built-in contingency triggers for scope creep based on data quality variables for Management, Scientific, and Technical Consulting Services industry

Management, Scientific, and Technical Consulting Services

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Upload Statement of Work, RFP, or master service agreement defining data-analytics scope, deliverables, and current baseline assumptions
Select the assessed quality tier of client data assets based on completeness, accuracy, consistency, and governance maturity
Enter base contract value, approved contingency percentage, and any hard budget ceilings or approval thresholds
Characterize the client stakeholder environment affecting scope definition and change management
Specify the primary analytics methodology and deliverable format
Define specific data quality red flags that should automatically increase contingency allocation (e.g., undocumented calculations, discrepancies above thresholds, missing primary keys)
Select applicable compliance frameworks affecting data handling and pricing
Indicate acceptable schedule extensions when scope creep is triggered by data quality issues
Define the specific metrics the pricing model should optimize for (e.g., ROI, risk mitigation ROI, cost per insight, governance compliance score)