Minitab is a statistics package developed at the Pennsylvania State University by researchers Barbara F.

Minitab is the core statistical analysis and quality improvement platform providing comprehensive tools including hypothesis testing, regression, ANOVA, DOE (Design of Experiments), control charts, capability analysis, time series, and data visualization. Available as single-user or multi-user (network) annual subscription. Includes cloud-based access via the Minitab Solution Center, software updates, and technical support. Integrates with R and Python. Features an AI-assisted 'Assistant' that guides users through analysis and interpretation. Add-on modules are available for industry-specific and function-specific use cases.

Minitab Connect is a data integration, preparation, automation, and analytics platform. It enables organizations to connect, aggregate, and share data across systems for analysis and reporting. Features include seamless data integration from multiple sources, self-service data preparation tools, automated workflows, real-time dashboards with interactive visualizations, configurable design and formatting options, and secure sharing of data visualizations with stakeholders.

Minitab Engage is a cloud-based innovation and process improvement management platform for building improvement and innovation programs using Lean Six Sigma methodologies. Features include centralized idea management, standardized project workflows, DMAIC/CDOV methodology support, real-time KPI dashboards, financial summaries, brainstorming and diagramming tools (mind maps, fishbone diagrams, SIPOC, FMEA), project charter, automated email notifications, presentation-ready reports, and integration with Minitab Statistical Software. HIPAA-compliant and ONC-certified. Formerly known as Quality Companion.

Minitab Model Ops is a model deployment and operationalization platform that enables organizations to publish, deploy, monitor, and manage predictive analytics models in production environments. Features include model publishing and deployment, prediction creation and monitoring, API Key management for access control, and SCIM-based subscription enrollment via API provisioning. Supports Single Sign-On (SSO).

Minitab Solution Center Analytics - Collect is the entry-level tier focused on inspection data collection. It streamlines inspection data collection from CMMs, gages, PLCs, and 320+ other inspection devices. With hundreds of ready-to-use drivers and automated data transfer to preferred SPC tools, the Collect tier eliminates manual entry, reduces errors, and gives immediate visibility into quality. Includes QC-CALC Real-Time, QC-CALC Monitor, QC-PLC, and GageStation applications.

Minitab Solution Center Analytics - Control is the mid-tier adding real-time SPC monitoring to the data collection capabilities of the Collect tier. It turns data into action with real-time SPC charts, reports, and alerts. Helps monitor performance, catch problems faster, and drive quality improvement across operations. Includes QC-CALC SPC, QC-Mobile, and QC-Alert applications.

Minitab Solution Center Analytics - Insight is the advanced tier combining real-time data collection with advanced analytics through Minitab Statistical Software. It goes beyond monitoring to uncover hidden trends, identify root causes, and guide next best decisions. Includes SPC Office Pro and the entire suite of solutions inside Minitab Statistical Software. Priced at $2,593/user/year based on 2026 document evidence.

Minitab Workspace is a process improvement and visualization tool providing essential visual tools, forms, and templates. It supports process mapping, brainstorming, and structured problem-solving with tools such as fishbone diagrams, mind maps, process maps, value stream maps, Monte Carlo simulation, and other quality improvement visual tools. Available as an annual subscription. Integrates with Simul8 simulation software (acquired December 2024).

Real-Time SPC Powered by Minitab is a cloud-based statistical process control platform that provides live monitoring of manufacturing and operational processes. Features include automated SPC charts (control charts), real-time dashboards, alerts and control rules for early issue detection, role-based access permissions, centralized blended quality data monitoring, and integration with Minitab Statistical Software for deeper root cause analysis.

Salford Predictive Modeler (SPM) is an advanced predictive analytics and data mining platform featuring proprietary machine learning algorithms: CART (Classification and Regression Trees), MARS (Multivariate Adaptive Regression Splines), TreeNet (Gradient Boosting), and Random Forests. Spans classification, regression, survival analysis, missing value analysis, data binning, and clustering/segmentation. Features 70+ pre-packaged modeling scenarios and automation tools for model tuning.