Partner Software

Milestone Planning and Research, Inc.'s Hybrid Cognition reference models — PRIMMS® and the applications that follow it — are built on, tested against, and integrated with these industry-standard platforms. Each tool plays a specific role in how those reference models are developed and delivered.

"PRIMMS® and Milestone Planning's Hybrid Cognition reference models are built on MATLAB and Salesforce Tableau, supported by a set of specialized analytical platforms. These are not incidental tools — they are load-bearing components of the methodology."
5
Core Platforms
40+
Combined Years
1
OCC Standard
Core Analytical Engine · Hybrid Cognition Backbone
MATLAB
by MathWorks, Inc.
Core Engine
Role in Milestone Planning's Reference Models
MATLAB serves as the core analytical engine across Milestone Planning's Hybrid Cognition reference models — PRIMMS® today, with IUVO™ Forecasting, On-Time Delivery, and Customer Retention built on the same foundation. It brings together structured evidence, narrative and semantic analysis, and probabilistic reasoning into a coherent, auditable workflow.

MATLAB is the definitive programming environment for engineers and scientists, developed by MathWorks since 1984 and deployed at over 6,500 universities and institutions worldwide — including 92% of the global top 300 ranked universities. Designed around the way technical professionals actually think and work, MATLAB integrates data analysis, algorithm development, visualization, and numeric computation into a single coherent environment. Within Milestone Planning's architecture, MATLAB applications work alongside large language models to help expand the space of possible explanations and courses of action, structuring that output into a form that supports downstream analytics and reporting.

Core Analytical Engine Algorithm Development LLM Integration Bayesian Inference Causal Tree Modeling Numeric Computation
Analytical Visualization · Enterprise Distribution
Tableau
by Salesforce, Inc.
Core Engine
Role in Milestone Planning's Reference Models
Tableau serves as the visualization and distribution layer across Milestone Planning's Hybrid Cognition reference models — turning KPI/PPI dashboards, evidence summaries, and causal-tree explanations into interactive views for decision-makers, alongside the analytical work done in MATLAB.

Tableau is the industry-leading visual analytics platform, now part of Salesforce, used by organizations worldwide to turn structured data into interactive, explorable dashboards. For Hybrid Cognition reference models, Tableau provides the shared distribution layer across every KPI/PPI application — PRIMMS project-risk dashboards today, with IUVO forecasting, OTD optimization, and Customer Retention scorecards planned on the same infrastructure.

Core Visualization Layer Interactive Dashboards Enterprise Distribution Salesforce Ecosystem KPI / PPI Reporting Trend Analysis
Specialized Text Analytics · Content Analysis
WordStat
by Provalis Research
Specialized Tool
Role in Milestone Planning's Reference Models
A specialized text-analytics tool used within Milestone Planning's methodology, particularly for the IUVO™ narrative signal layer, converting financial news headlines into quantitative content variables ahead of forecast modeling.

WordStat is the world's leading content analysis and text mining platform, developed by Provalis Research in Montreal. It enables researchers and analysts to extract, categorize, and analyze large volumes of unstructured text using advanced statistical and AI tools. WordStat supports both qualitative and quantitative approaches — from custom dictionary application and keyword extraction to topic modeling, sentiment analysis, and machine learning classification. Its tight integration with Stata and SimStat makes it uniquely suited for mixed-method research pipelines where narrative data must be connected to structured numerical analysis.

Text Mining Content Analysis Sentiment Analysis Topic Modeling Stata Integration Machine Learning
Specialized Statistical Modeling · Econometrics
Stata
by StataCorp LLC
Specialized Tool
Role in Milestone Planning's Reference Models
A specialized statistical modeling tool used for econometric rigor — the M7 ensemble forecasting models underlying IUVO™ are built and validated in Stata, whose reproducibility architecture aligns with OCC governance requirements.

Stata is the complete statistical software platform for data science, developed by StataCorp and in continuous use for over 40 years. It delivers integrated statistics, visualization, data management, and automated reporting in a single environment trusted by research professionals across academia, government, and industry. StataCorp's commitment to validation is exceptional: every Stata release passes a certification suite encompassing 7.2 million lines of testing code — a standard of rigor that mirrors the OCC methodology RATIO applies to AI systems. Stata's reproducibility guarantees mean that analyses documented today will produce identical results regardless of when they are re-run.

Time Series Panel Data Regression Reproducible Workflows Data Management Bayesian Analysis
Specialized Quality Analytics · Process Improvement
Minitab
by Minitab, LLC
Specialized Tool
Role in Milestone Planning's Reference Models
A specialized quality-analytics tool used in OCC competency validation training and process-improvement work, drawing on Minitab's Six Sigma, DOE, and SPC toolkit.

Minitab is the market-leading statistical and process improvement platform, with over 50 years of deployment across manufacturing, healthcare, pharmaceuticals, and financial services. Originally developed at Penn State University in 1972, Minitab has become the standard tool for quality professionals trained in Six Sigma, Lean, and design of experiments. Its intuitive interface and comprehensive analytics suite — spanning hypothesis testing, regression, control charts, and predictive modeling — make it accessible to analysts at every skill level. Minitab's proprietary automated machine learning capabilities extend its reach into modern data science workflows while maintaining the auditability that regulated industries require.

Six Sigma Quality Control DOE SPC Predictive Analytics Process Improvement
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