Big Decisions Blog
The latest news and insights from the team at Hubbard Decision Research
Power Law vs. Lognormal Distribution: Which is the Right Choice for My Model?
At Hubbard Decision Research, we’ve built dozens upon dozens of risk models ranging for companies of different sizes across wildly diverse areas. One of the questions we sometimes get from the more quantitatively affluent clients is “Should we use a power law...
Are Your KPIs Actually KPIs?
In nearly every organization, Key Performance Indicators (KPIs) are a staple of performance tracking and strategy alignment. But how often do we stop to question whether our KPIs are truly key, or even indicators of performance? Was there an analysis done to evaluate...
The Role of Noise in Risk Management
The Role of Noise in Risk Management: A psychologist’s take on an often underappreciated and often misunderstood topic. Prior to working in management consulting, I was a career academic. I taught a variety of psychology courses at a university and conducted cognitive...
Using LLMs to Generate Models in Excel
Background As a senior quantitative analyst at Hubbard Decision Research, I spend a significant portion of my day creating Monte Carlo simulations to analyze complex investment problems. The process involves decomposing the problem into relevant variables, quantifying...
Revolutionizing Agricultural Productivity: Project Prioritization in Crop Science
Client: A Global Leader in Agricultural SciencesIndustry: Crop ScienceObjective: To forecast and prioritize new corn varieties to maximize future product success.Executive SummaryOur client, a trailblazer in agricultural sciences, sought to gain a predictive edge in...
Strengthening Financial Fortresses: Transformative Cybersecurity Workshops in Banking
Client: An Established Midwestern Financial Institution Industry: Banking Objective: To develop the bank's cybersecurity framework through in-depth workshops, empowering internal teams to manage and improve their cyber risk analysis using HDR's models. Executive...
Revolutionizing Risk Management in the Insurance Sector Through Cybersecurity Assessment
Client: A Global Leader in the Insurance Marketplace Industry: Insurance Objective: To enhance cybersecurity risk management by developing a comprehensive risk and control model tailored for the insurance industry. Executive Summary In a world where cyber threats are...
Optimizing IT Infrastructure for Enhanced Banking Performance
Client: A Leading Silicon Valley-Based Financial Institution Industry: Banking Objective: To conduct a cost-benefit analysis for consolidating data center operations, which involves advanced Monte Carlo models and data-driven dashboards Executive Summary A top-tier...
