Minitab Webinars
Achieve Operational Excellence with the Right CI Tool
Managing Process Variation and Ensuring Stability with Control Charts
A stable process is one in which the inputs and conditions are consistent over time. When a process is stable, it is said to be "in control". This means the sources of variation are consistent over time, and the process does not exhibit unpredictable variation. In contrast, if a process is unstable and changing over time, the sources of variation are inconsistent and unpredictable. As a result of the instability, statistical test results cannot be relied upon with confidence.
In this webinar, we will talk about:
Discover Hidden Insights by Exploring Outliers in Your Data
In this webinar, you'll learn how to identify, analyze, and interpret outliers to gain valuable insights that drive smarter decisions. Discover practical techniques to turn unexpected data points into opportunities for improvement. Whether you're new to data analysis or looking to refine your skills, this session will equip you with the tools and strategies to explore the hidden insights within your data.
Practical Data Visualization Techniques to Identify Key Quality Issues
Unlock the power of data visualization to uncover critical quality issues and drive smarter decision-making. In this webinar, we'll explore practical techniques to create meaningful visual representations that transform complex data into actionable insights. Learn how to identify trends, spot anomalies, and highlight root causes with tools and methods tailored for quality improvement.
Key Takeaways:
Enhance Operational Efficiency and Boost Service Satisfaction in Non-Manufacturing Industries
Whether you are a business or technology professional in the non-manufacturing/service industry for example supply chain, healthcare, financial & banking, government, or consumer products sector, this session will provide you with an all-round application of Minitab in various industries.
We will show you how to use graphical and statistical analysis, including predictive analytics and Monte Carlo simulation, to analyze data and enhance your business's service quality.
Streamlining Continuous Improvement Projects: Your End-to-End Solution
Successful improvement programs rely on dedicated budget, innovative ideas and people to deliver necessary results, which need to be shared with stakeholders in a meaningful way. Discover how you can leverage Minitab Engage is the only solution designed to start, track, manage and share innovation and improvement initiatives from idea generation through execution.
Topics include:
Predict Failures, Optimize Costs: Unlock the Power of Tree-Based Models
Join us for an insightful session where we explore how tree-based models, including Classification and Regression Trees (CART), Random Forest and TreeNet (Gradient Boosting), can transform your approach to predictive maintenance and cost optimization. Learn how these powerful machine learning techniques help you accurately predict machine failures, reduce downtime, and optimize operational costs.
Prevent Defects and Waste with Regression and MARS
Analyzing and understanding relationships between variables is at the core of data analysis and decision-making. It provides a foundation for making predictions and driving improvements in various industries.
In this webinar, you will learn:
Achieve Better Processes, Outcomes and Products with Capability Analysis
Process capability analysis tells you how well your process is meeting the specifications that you have. It can help you identify and reduce the risk of producing defective products or services and improve your quality and efficiency.
In this webinar, you will learn:
Ensuring Process Stability with Control Charts
A stable process is one in which the inputs and conditions are consistent over time. When a process is stable, it is said to be "in control". This means the sources of variation are consistent over time, and the process does not exhibit unpredictable variation. In contrast, if a process is unstable and changing over time, the sources of variation are inconsistent and unpredictable. As a result of the instability, statistical test results cannot be relied upon with confidence.
In this webinar, we will talk about:
Building Trust in Your Data: The Importance of Measurement Systems Analysis Before Statistical Analysis
A measurement system is one potential source of variability when measuring a product or process. When a measurement system is poor, we lose the ability to truthfully "see" process performance. A poor measurement system leads to incorrect conclusions and flawed implementation.
Join our webinar to learn:
Achieving Process and Product Excellence with Powerful Visual Tools
Searching for simple solutions to achieve the greatest impact with your work? Minitab Workspace enables you to move work forward with powerful visual tools, process maps, brainstorming diagrams and forms. All in one intuitive interface right at your fingertips. Our tools help form processes and identify opportunities ultimately making problems easier to solve. Watch our recorded webinar and learn how Minitab Workspace will lead you to discover better business opportunities!
Streamline data automation and analysis with Minitab-Integrated SPC
Unlocking Insights: Strategies for Analyzing Non-Normal Data
Many statistical analyses are based on an assumed distribution - in other words, they assume that your data resemble a certain shape. And most commonly assumed distribution, or shape, is the normal distribution. However, normally distributed data isn't always the norm. Join us as we cover various methods for detecting non-normal data and review valuable tips and tricks for analyzing non-normal data.
Empowering Data-Driven Decision Making with Graphical Analysis
It's always a good practice to get into the habit of intuitively "knowing" your data well before you dive into a sea of complex calculations. It helps ensure you'll fully understand your analysis results, avoid careless errors, and draw sound conclusions. Watch our webinar to learn how Minitab's graphical summary helps you quickly understand the main characteristics of your data. We will also show you how to utilize Graph Builder to instantly visualize, create, and explore your insights.
Enabling Process Optimization Through Design of Experiments
Design of Experiments (DOE) is a powerful technique for process optimization that has been widely used in various industries. In DOE, we can distinguish between important and unimportant factors, identify the relationships between factors and responses, and subsequently determine the optimal factor settings. In short, DOE helps us understand processes rapidly.
In this webinar, you will learn:
Revolutionizing Business Intelligence: Data Integration, Prep, and Live Analytics
As business evolves, so should your dashboards. In this webinar, we'll introduce our latest solution, empowering you to seamlessly create and integrate statistical analysis into powerful visualizations that go beyond simple business intelligence dashboards. Furthermore, it enables users to connect, explore, and integrate data from diverse sources. Watch this recorded webinar to uncover how automated, real-time analytics can help you deliver more advanced analyses on a convenient and shareable platform.
Minitab Statistical Software: Forecasting with Time Series Analysis
Time series is sequence of observations over regularly spaced intervals of time. The goal of any time series analysis is to make sure we can make realistic forecasts for business decisions.
In this webinar, you will learn:
Exploring Data Relationships and Patterns with Regression and MARS
Analyzing and understanding relationships between variables is at the core of data analysis and decision-making. It provides a foundation for making predictions and driving improvements in various industries.
In this webinar, you will learn:
Minitab Statistical Software: Capability Analysis
Capability statistics are wonderful things. These statistics tell you how well your process is meeting the specifications that you have.
In this webinar, you will learn:
Minitab Statistical Software: Control Charts
A stable process is one in which the inputs and conditions are consistent over time. When a process is stable, it is said to be "in control". This means the sources of variation are consistent over time, and the process does not exhibit unpredictable variation. In contrast, if a process is unstable and changing over time, the sources of variation are inconsistent and unpredictable. As a result of the instability, statistical test results cannot be relied upon with confidence.
In this webinar, we will talk about:
Predictive Analytics in Minitab Statistical Software
Most of the companies are already implementing descriptive analytics to understand what is going on or what has happened. Companies can combine descriptive analytics with other analytics methods such as predictive analytics to gain a fuller picture of business performance. Minitab's best-in-class algorithms not only fit more accurate models but are also equipped to handle larger data sets with more variables, messy data, missing values, outliers or non-linear relationships.
In this webinar, you will learn:
Driving the Best Ideas for Innovation and Achieving Operational Excellence with Minitab Engage
Innovation and idea management, and operational excellence are critical to organizational success now more than ever. Successful improvement programs rely on dedicated budget, innovative ideas and people to deliver necessary results, which need to be shared with stakeholders in a meaningful way. Discover how Minitab Engage is the only solution designed to start, track, manage and share innovation and improvement initiatives from idea generation through execution.
Topics include:
Predictive Analytics in Operational Excellence and Risk Management
Join this free webinar to learn what predictive analytics is and how it can help financial institutions improve their customer service, assess risk and make preventive actions, therefore, increase their revenues. We will showcase how we can use powerful predictive analytics tools in the two case studies.
Minitab Statistical Software: Gage R&R and Bias Study
A measurement system is one potential sources of variability when measuring a product or process. When a measurement system is poor, we lose the ability to truthfully "see" process performance. A poor measurement system leads to incorrect conclusions and flawed implementation.
Join our webinar to learn:
Data Visualization and Statistical Testing
No matter how well-versed you are in statistics, it's good practice to get into the habit of intuitively "knowing" your data well before you dive into a sea of complex calculations. It helps ensure you'll fully understand your analysis results, avoid careless errors, and draw sound conclusions.
In this webinar, we covered:
Monte Carlo Simulation with Process Optimization
When making forecasts or performing risk analysis, it is impossible to escape from variability and uncertainty. A Monte Carlo simulation considers a wide range of possibilities and helps us reduce uncertainty. Watch our recorded webinar and learn how to use Minitab Statistical Software to model data and quantify risk; predict and manage risk with Monte Carlo simulation in Minitab Workspace.
Minitab Statistical Software: Regression for Predictive Analytics
While there are many new predictive analytics and machine learning tools in the market, Regression is a classical tool for building predictive models. Regression allows the user to model the relationship between a response and various predictors. Minitab Statistical Software makes it easier than ever to perform regression analysis.
Join our webinar to learn:
Minitab Statistical Software: Measurement System Analysis
Measurement System Analysis assesses and ensures data collected are accurate and precise. Good reliable data can prevent wasted time, labor and scrap in a manufacturing process.
In this webinar, you will learn :
Minitab for Quality Initiatives in Non-Manufacturing Industry
Whether you are a business or technology professional in the non-manufacturing/service industry for example healthcare services, financial & banking, government, telecommunication, or consumer products sector, this session will provide you with an all-round application of Minitab in various industries. We will show you how to use Graphical Analysis, Chi-Square test, Control Chart and Binomial Capability Analysis in Minitab Statistical Software to analyze data and improve service quality of your business.
Tips & Tricks for Minitab Statistical Software: Data Preparation and Visualization
In this webinar, you will learn valuable tips for importing, cleaning and manipulating data, managing worksheets, and working with graphs in Minitab Statistical Software. We will also show you how Graph Builder can help you instantly visualize, create, and explore your insights. In addition to these, Minitab 21 also offers a web version of Minitab. You will learn how you can access Minitab web version to complete analyses and discover insights from anywhere.
Minitab Automation for SPC Monitoring
By watching this webinar, you will learn how to use Minitab Macros to automate, customize and extend the functionality of Minitab analyses.
How to Build a Regression Model
Supervised learning is the machine learning task of developing predictive models with input and output data. Supervised learning can be further grouped into regression and classification problems. A regression problem is when the output variable is a real value or measurement, such as "height" or "distance" or "weight".
How to Build a Classification Model
Supervised learning is the machine learning task of developing predictive models with input and output data. Supervised learning can be further grouped into regression and classification problems. A classification problem is when the output is a category, such as "yellow" or "green" or "accept" and "reject".
Harness the value of Predictive Modelling in non-Manufacturing Industries
More reliable, easier to use and deploy, and equipped with superior reporting tools, Salford Predictive Modeler outperforms data platforms and open source packages in head-to-head tests. Its time performance in the market provides executives and regulators with confidence in its predictive capabilities. In this webinar we will show how you can leverage powerful Machine Learning algorithms and predictive modelling techniques to unlock the value of your data for improvements in non-manufacturing industries.
Machine Learning: An overview of Salford Predictive Modeler (Non-Manufacturing)
Over half of the companies we have spoken to globally rate Machine Learning as one of their top challenges impacting business in the next 2-3 years, and many are not sure where to start. You might not be as far behind as you think though. Popular machine learning tools are actually an extension of the modeling tools you already know. We invite you to take a look of how to start today.