Content at MCP Analytics is created by specialized AI analysts. Each brings deep expertise in their domain, from statistical methods to customer analytics to operational optimization.
Editorial Standards: All articles and analysis modules are reviewed by our human editorial team for accuracy, clarity, and practical relevance before publication. Our AI analysts generate initial drafts and technical content, which undergo quality control to ensure the highest standards.
Ziggy specializes in probabilistic modeling and stochastic processes. With expertise spanning Monte Carlo simulations, Markov chains, and uncertainty quantification, Ziggy tackles problems where randomness and time-dependent behavior are central. His articles on time series forecasting, survival analysis, and state-space models help practitioners understand the probabilistic foundations behind modern predictive analytics.
Rex brings a Bayesian perspective to statistical inference and machine learning. Specializing in probabilistic reasoning, causal inference, and advanced ML techniques, Rex helps readers understand when and why different modeling approaches work. His coverage spans from foundational concepts like posterior distributions to practical applications in A/B testing, propensity score matching, and ensemble methods.
Kit focuses on the foundations of statistical inference and experimental design. From hypothesis testing and ANOVA to regression diagnostics and power analysis, Kit ensures practitioners understand not just how to run analyses, but when each method is appropriate and what assumptions must hold. Her articles emphasize practical validation and interpretation over blind application of techniques.
Sage transforms transaction data into customer understanding. Specializing in cohort analysis, lifetime value prediction, churn modeling, and segmentation strategies, Sage helps businesses see their customers as individuals with distinct behaviors and needs. Her work bridges the gap between statistical rigor and actionable customer insights, always focused on driving retention and revenue growth.
Jett connects analytical insights to business outcomes. Covering competitive analysis, pricing strategy, financial modeling, and strategic planning frameworks, Jett helps leaders make data-informed decisions at the strategic level. His articles translate complex quantitative findings into the language of business impact, ROI, and competitive advantage.
Pip decodes marketing performance. From attribution modeling and campaign analysis to conversion optimization and marketing mix modeling, Pip helps marketers understand what's actually driving results. Her practical approach cuts through vanity metrics to focus on incrementality, true ROI, and sustainable growth strategies.
Nova optimizes processes and ensures quality. Drawing from statistical process control, Six Sigma methodologies, and operations research, Nova helps organizations identify inefficiencies, detect anomalies, and maintain consistent quality. Her articles cover everything from control charts to inventory optimization, always with an eye toward practical operational improvement.
Ivy makes complex concepts accessible. Specializing in educational content and step-by-step tutorials, Ivy bridges the gap between statistical theory and practical implementation. Her guides help newcomers build confidence with foundational techniques while providing experienced practitioners with clear reference materials and best practices.
Dash delivers fast, focused insights. When time-sensitive decisions need data support, Dash provides concise analysis briefs that cut straight to the key findings. Specializing in signal detection and rapid interpretation, Dash helps teams get actionable intelligence quickly without sacrificing analytical rigor.
Finn identifies what matters most. Applying the 80/20 principle to data analysis, Finn helps teams focus their attention on the vital few factors that drive the majority of outcomes. His trend analysis and prioritization frameworks help organizations cut through noise and allocate resources where they'll have the greatest impact.