Building a High-Functioning Analytics Team
Goodhart’s Law, Evolving Threats, and Model Monitoring
Elder Research Data Scientist Stuart Price discusses Goodhart’s Law and the risk that any metric applied to a competitive or adversarial system will change behavior. If your adversary has a good chance of figuring out your metric, how can you keep your system from being gamed?
Analytics Assessment: Blueprint for Effective Analytics Programs
Build Bridges: A Framework for Navigating Resistance To Analytics
Blog discusses a 6-step communication framework to build team consensus and overcome resistance to the disruptive changes introduced by advanced analytics.
Made-to-Measure Analytics in the Automation Age
It is a Mistake to Rely on One Technique
Not So Fast: Analytics, Disruption and Organizational Change
Blog by Elder Research Data Scientist Will Goodrum discusses how established players can use analytics as part of a strategic response to disruption.
Are My Model Results Good Enough? It Depends!
Data Scientist Aric LaBarr discusses why you need a baseline to compare to when trying to determine if your analytical model results are good.
Analytics Best Practices – Agile Data Science
Top 3 Keys to Leading a Successful Data Analytics Initiative
Building an Effective Data Science Team
This blog explores how building an analytics team with diverse skills and backgrounds can have greater success than a team with one “type” of data scientist.
It is a Mistake to Accept Leaks from the Future
Analytics Best Practices – Part 1
It is a Mistake to Listen Only to the Data
Predictive Analytics Basics: 6 Introductory Terms & 5 Effects
Transforming Business: Why Do We Stop Asking Why?
Avoiding the Most Pernicious Prediction Pitfall
Yet Another Big Data Article – Why Does it Matter?
10 Practical Actions That Could Improve Your Model
In this blog Elder Research Founder Dr. John Elder discusses 10 practical actions that could improve your analytical model results.
The Trick to Predictive Analytics: Bridging the Quant/Business Gap