Big book of models: the ultimate guide to analytical models for smarter business decisions

In today’s data-driven world, industries face growing complexity in managing risk, optimising strategies, and making informed decisions. With advancements in analytics, professionals in risk management, quantitative analysis, and strategic decision-making require effective tools to tackle these challenges. The big book of models equips them with essential methodologies for navigating these complexities.

This eBook is a concise, application-focused guide to analytical techniques. Covering a wide spectrum of methods – from Monte Carlo simulation and sensitivity analysis to logistic regression and neural networks – it explains how each model works, what problems it solves, and where it’s best applied. With clear use cases across finance, insurance, energy, healthcare, and more, the book is designed to help practitioners choose the right approach for forecasting, optimisation, and risk assessment. Whether you’re evaluating financial exposure, modelling project timelines, or refining predictive models, this guide offers practical insights for navigating complex analytical challenges.