Overview
The world is swimming in data yet raw data is mostly useless without
methods to turn this data into useful and actionable information. Those
individuals and companies that make best use of the available data
achieve a competitive advantage by optimizing their operations and
making superior decisions. Companies that fail to take advantage of
data are resigned to chasing rather than leading in this information
age.
However, most analysts and decision makers do not possess
enough knowledge in statistical methods to effectively use their data
and they often find it difficult to interface with statisticians at
their disposal.
This seminar provides a solid introduction of
important statistical concepts and methods that are essential for making
objective decisions supported by data.
The methods have many applications including:
- Effectively summarizing data to know what the data tells us
- Determining how well my process/product meets requirements
- Knowing when a process or system is behaving consistently or differently than before
- What key inputs to my process affect product performance or customer satisfaction
- Ensuring that I can effectively measure what I need to
- Compare groups of data when random (natural) variation is present?
- Predicting future outcomes using a model?
- Ensuring I have an adequate sample size to reach significant conclusions
Why you should attend
Failing to utilize your data effectively puts you at a competitive
disadvantage and your competitors will take advantage. Harnessing your
data allows you to put yourself in the driver’s seat by making superior
decisions, optimizing operations, and avoiding costly issues. This
seminar will provide a solid foundation for many of the statistical
methods that are critical for today’s decision makers. With this
background, you will be in a position to determine where you can focus
next to make the biggest impact in your business.
Who Will Benefit
The target audience includes personnel involved in process
development, manufacturing, quality, program management, and business
operations.
- Data Analysis
- Product Engineers & Management
- Program Managers
- Quality & Process Engineers
- Quality Technicians
- Manufacturing/Production Supervisors
- Test Lab Personnel
- Personnel involved in Process Development and Validation
- Process Improvement Personnel
- Supplier Quality Personnel
Agenda
- Introduction and Basic Statistics
- Summarizing Data with Statistics
- Probability Distributions
- Graphical Methods
- Understanding Data Over Time
- Run Charts / Trending Analysis
- Statistical Process Control Charts
- Developing Process Understanding through Predictive Models
- Regression Modelling
- Application: Stability Studies/Shelf Life Estimation
- Design of Experiments (DOE)
- Application: Specification Setting
- Test Method Validation / Measurement Systems Assessment
- Types of Measurement Error
- Measurement Systems Assessments (e.g. Gage R&R)
- Comparing Groups of Data
- Hypothesis Testing with Applications
- Power & Sample Size
Speaker Profile
Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. Steve has worked as a statistician at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control.
Steve is currently a Principal Statistician at Integral Concepts, Inc. where he assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity. He also possesses expertise in the application of reliability methods to achieve robust and reliable products as well as estimate and reduce warranty. Steve regularly speaks at industry conferences and provides workshops in industrial statistical methods worldwide.
