The market share paradox: Why industry leaders sometimes lose money
A critical analysis of the market share-profitability relationship through Bourantas & Mandes' dynamic model, revealing when bigger isn't always better
Financial modeling, valuation, and strategic decision frameworks
We apply quantitative methods to financial and strategic challenges, from pricing optimization to valuation models, helping organizations make better capital allocation decisions.
Price elasticity modeling, competitive pricing analysis, and dynamic pricing strategies
DCF models, scenario analysis, and Monte Carlo simulations
Probability of default, loss given default, and portfolio risk assessment
Market sizing, competitive analysis, and growth opportunity identification
Risk-return optimization, capital allocation, and investment prioritization
Deep dives into methodologies, case studies, and implementation guides
Real-world implementations and case studies demonstrating impact
Machine learning-powered credit decisioning system leveraging alternative data from social media and digital footprints combined with traditional credit data to improve risk assessment accuracy and speed.
Data-driven pricing strategy for new vitamin product launch using Bayesian demand modeling and mixed-integer programming to optimize portfolio-wide pricing.
Willingness-to-pay analysis and price sensitivity modeling for a B2B SaaS product, resulting in a new tiered pricing structure.
Let's discuss how we can help you implement data-driven solutions that deliver measurable business impact.