Tools We Master
We don't just use these tools — we exploit every feature to deliver results that matter. Every analyst on our team is fluent in at least four of the platforms below, and we choose tools based on what fits your problem, not what's trendy.
If your organization already has a tool standard, we'll work within it. If you're starting fresh, we'll recommend the simplest, cheapest stack that gets the job done — sometimes that's free open-source software, sometimes it's enterprise SaaS. We're tool-agnostic in principle and ruthlessly practical in execution.
SPSS
IBM Statistics
STATA
Econometrics
SAS
Advanced Analytics
Python
ML & Automation
R
Statistical Computing
Looker Studio
Cloud Dashboards
Excel
Data Modeling
Power BI
Enterprise BI
Tableau
Visual Analytics
SQL
Database Querying
TensorFlow
Deep Learning
Jupyter
Notebooks
Proficiency Breakdown
Years of hands-on experience across statistical, visualization, and programming domains. The percentages below reflect combined team proficiency — every project is staffed with analysts whose strongest skills match your specific needs.