Business
Analytics

Quantitative modeling, Monte Carlo simulations, and advanced financial analytics that transform complex data into clear, decision-ready insights.

Risk Quantification
Monte Carlo simulations and probabilistic models that put precise bounds on uncertainty into quantitatively defensible numbers for U.S. GAAP and IRS auditors.
Customer & Revenue Analytics
Deep cohort analysis, churn modeling, and lifetime value projections that reveal the true economics of your customer base and inform strategy.
Complex Financial Modeling
Integrated three-statement models, LBO analyses, dynamic scenario planning, and decision-tree frameworks built for transactions and strategic decisions.

Data-Driven Answers to Your Most Complex Questions

Titus Alliance's analytics practice bridges the gap between raw financial data and actionable intelligence. We build rigorous quantitative models used in transactions, litigation, regulatory filings, and strategic planning, applying the same analytical discipline that underpins our M&A and valuation work.

Whether you need a Monte Carlo simulation to quantify downside risk, a customer cohort model to demonstrate revenue quality to a buyer, or a complex financial model to support a board presentation, we deliver results that withstand scrutiny.

Common Engagements
01
Transaction Due Diligence Support
Build the models buyers and sellers rely on to validate revenue quality, customer concentration, and growth assumptions.
02
Board & Investor Presentations
Scenario analyses and sensitivity tables that give leadership teams a clear view of outcomes across a range of assumptions.
03
Litigation & Regulatory Support
Quantitative analyses supporting expert witness testimony, lost profits calculations, and regulatory submissions.
04
Operational Performance Analysis
KPI dashboards, driver-based forecasting, and unit economics analysis to identify levers for margin expansion.
Services Include
  • Monte Carlo simulations and probabilistic risk modeling
  • Intellectual property (IP) valuation and royalty analysis
  • Customer retention and churn modeling
  • Lifetime value (LTV) and customer acquisition cost (CAC) analysis
  • Revenue quality and cohort analysis
  • Integrated three-statement financial modeling
  • LBO and leveraged buyout modeling
  • Scenario, sensitivity, and break-even analysis
  • Option pricing and derivative instrument modeling
  • Lost profits and damages quantification
  • KPI frameworks and performance dashboards
  • Strategic planning and driver-based forecasting

"Titus built a Monte Carlo model that gave our board real confidence in our downside scenarios before we went to market. The analysis held up under every buyer's scrutiny."

CFO, Private Equity-Backed Distribution Company
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