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MAY 1-3, 2023
DISCOVER. PREDICT. TRANSFORM. ACHIEVE.


CONNECT WITH INNOVATORS, PEERS, AND PROFESSIONALS WHO HELP SHAPE THE FUTURE WITH
DATA-DRIVEN INSIGHTS AND EXPLORE NEW SOLUTIONS YOU CAN IMPLEMENT IMMEDIATELY!




THE PREMIER DATA AND ANALYTICS EVENT

MINITAB INSIGHTS GLOBAL CONFERENCE 2023

Minitab Insights Global Conference is the premier, customer-focused data and
analytics event for all innovators and industry experts looking to extract more
value from data. This annual event connects the brightest minds from top
organizations to learn, network, and discover valuable insights from their data
and achieve excellence through our best-in-class suite of tools and solutions.
These visionaries gather with a single mission; to advance business, life, and
humanity forward with the power of data and analytics.




THE MINITAB INSIGHTS GLOBAL CONFERENCE IS WHERE VISIONARIES GATHER WITH A SINGLE
MISSION; TO ADVANCE BUSINESS, LIFE, AND HUMANITY FORWARD WITH THE POWER OF DATA
AND ANALYTICS.

REGISTER NOW




COLLABORATIVE SESSIONS

Connect with professionals and thinkers who help shape the future with
data-driven insights. You will have the opportunity to hear from engaging and
inspiring speakers along with endless opportunities to expand your network.
Explore new solutions that you can implement immediately!


AT MINITAB INSIGHTS GLOBAL CONFERENCE 2023 YOU WILL:

 * Discover new ways to use Minitab Solutions to achieve results and transform
   your organization. From the beginner to the advanced user, Minitab Insights
   has something for everyone.
 * Minitab customers from a variety of industries will share how they have used
   the tools to predict, analyze and improve processes that produce positive
   results.

 * Grow your network and build strong relationships with others who are eager to
   learn and share innovative and proven techniques to transform their
   organization.
 * Go beyond the basics and take a deep dive into the robust tools that other
   users, like you, have utilized to achieve results.

 




2023
FEATURED
SPEAKERS

Michelle Ruehl


MICHELLE RUEHL

Michelle “Sonic” Ruehl is an Air Force Instructor Pilot with over fifteen years
of service. She flew four different aircraft and amassed over 2000 hours,
including 807 combat hours in Afghanistan, providing real-time airborne
targeting data to Special Operations forces. While in Afghanistan, she also
volunteered to teach English to local school girls as well as a group of young
Afghan men studying Business. For her service, she earned seven Air Medals, two
Aerial Achievement Medals and a special award for volunteer work, the Military
Outstanding Volunteer Service Medal.

After her last deployment, Sonic returned to the U.S. Air Force Academy (class
of ’03) to teach Rhetoric and Composition in the Department of English and Fine
Arts. She taught courses in Writing and Public Speaking. When she was not in the
classroom, she was the theater director, equestrian team mentor and worked down
at the airfield teaching cadets how to fly the T-53 in the Air Force Academy’s
Powered Flight Program. She found it incredibly rewarding to help the next
generation of officers reach their dream of becoming military aviators.

Sonic brings 15 years of rhetoric, communication, and debriefing skills to the
Afterburner team. She earned her M.A. in Teaching Writing and Rhetoric from the
University of Colorado and traveled to Ghana where she taught civic leaders how
to develop community improvement plans. In Tanzania, she taught children how to
write music. In Nepal, she taught English to Tibetan refugees at a Buddhist
monastery. She also worked as a speechwriter for a three-star general, preparing
her for public engagements and developing strategic corporate messages for
dissemination to 7000 personnel. Additionally, at the request of the Secretary
of the Air Force Heather Wilson, she designed and taught a communication course
to the Air Force headquarters staff at the Pentagon.

To honor fallen military colleagues, Sonic founded Parwana LEADership Legacy, a
501c3 non-profit organization whose mission is to provide leadership camps to
veterans and their families to enhance empathy, communication, and teamwork so
youth can then use these concepts to lead others. Through these programs, Sonic
uses her M.A. in Psychology, as well as her certification as an Equine
Specialist in Mental Health and Learning (ESMHL) to teach children, veterans,
and survivors of trauma how to heal from their experiences and become empowered
leaders in their community.
Sonic excels at helping teams become their best by aligning their communication
processes with their strategic goals, so she was thrilled to join the
Afterburner team in 2018! She is currently serving in the Air Force Reserves for
the 302nd Airlift Wing at Peterson Air Force Base. She lives in Colorado with
her husband, who flies for a major airline, and their baby girl.

https://www.afterburner.com/michelle-sonic-ruehl/


EXECUTIVE CONSULTANT
FORMER MC-12W MISSION COMMANDER, T-53 INSTRUCTOR PILOT, USAF

Get ready for some serious innovation and motivation from our keynote Michelle
“Sonic” Ruehl, former MC-12W Mission Commander, T-53 Instructor Pilot, USAF.


Connor McIntyre


CONNOR MCINTYRE

Connor McIntyre is the Six Sigma Quality Champion for Amazon. In role since
2016, Connor’s team built the first of its kind Six Sigma training and
certification system at Amazon. This system incorporates traditional Six Sigma
tools and practices as well as SQL, Predictive Analytics, Vision System, Control
System, 3D Simulation, and Programing. Amazon’s Six Sigma platform incorporates
Amazon’s 16 Leadership Principles and is deployed across all lines of business
globally. Connor is an active Bar Raiser (Amazon Executive Interview System)
whereby he has the responsibility of leading Amazons interview process. Connor
is also the sponsor of Amazon Allies affinity group which serves as an education
service to build relationships and create support networks under the banner of
“Better Together”.

Connor is a Sr. Fellow with the Optness Institute and has developed Six Sigma
MBA courses at a number of Universities in North America (Harvard, Yale,
Columbia, Rice, Chicago Booth and Ivey) and actively teaches 100’s of MBA
students a year (awarded Professor of the Year in 2021).

Connor has been active in several causes for social justices serving on the
board of Metanoia, Charleston Youth Development Center (oldest orphanage in the
US), project leader for United Nations World Food Program (Malawi Africa) as
well as loaned executive to the United Way. Connor’s passion is supporting
Myotonic Dystrophy research and developing a cure to this deadly genetic disease
(Both Connor’s wife Rossie and son Deegan have MD Type 1).

Connor holds a bachelor's and master's degree in Business Management from
Florida State University and Military College of South Carolina (The Citadel).
In his spare time, Connor enjoys sailing offshore, building racecars and smoking
cigars.


SIX SIGMA QUALITY CHAMPION
AMAZON

Connor McIntyre is the Six Sigma Quality Champion for Amazon. His team built the
first of its kind Six Sigma training and certification system at Amazon.


35+


UNIQUE
SESSIONS


PRESENTED BY INDUSTRY LEADERS

Real practitioners and business experts share proven strategies and examples for
enterprise level success on topics such as digital transformation during and
post-Covid, predictive analytics, data governance, process improvement, risk
analysis, fraud detection, customer insights, and more.

Overcoming Travel Industry's Adversities


OVERCOMING TRAVEL INDUSTRY'S ADVERSITIES

The pandemic has hit hard many industries but not more than Travel and
Hospitality. With forced cancellations on the rise due to government policy
changes, identifying ways to mitigate or reduce customer effort and maintain
customer relationship even beyond the tumultuous times is key to rebound.


CO-PRESENTED BY:

Perla Asistin


PERLA ASISTIN

Perla is certified Lean Six Sigma Master Black Belt and a previous speaker at
the 2019 Minitab Conference in Manila. She has worked with multiple global
organizations such as Cognizant Technology Solutions, Accenture, and now with
TELUS International. Her career has been focused in Process Improvement and
Digital Transformation, helping organizations to reach significant amount of
savings, efficiencies, and saving jobs for employees by making sure that
processes are efficient for clients. Outside of her professional career as a
Global Director for Operational Excellence at TELUS International, she is also a
Continuous Improvement consultant for the Philippine's Department of Health in
2021 to support process improvement through multiple projects amidst the
pandemic.


GLOBAL DIRECTOR FOR OPERATIONAL EXCELLENCE


TELUS INTERNATIONAL

Ma. Katrina Dayrit


MA. KATRINA DAYRIT

Ma. Katrina Dayrit is a Business Process Excellence Manager from TELUS
International whose work is focused on driving strategic process improvement
initiatives globally through statistical analysis, digital transformation, and
process remediation. She is a Lean Six Sigma Green Belt certified and has been a
continuous improvement practitioner since 2014, driving efficiency improvements
across different industries such as Travel and Hospitality, Gaming, Mortgage
Banking, and Fast-growing Technology. She graduated with a degree in Bachelor of
Science in Business Administration major in Business Economics. Katrina’s
personal interests outside of work include managing her own online small
business making hand-crafted latte and americano.


BUSINESS PROCESS EXCELLENCE MANAGER


TELUS INTERNATIONAL

Practical Experiences with Screening Experiments


PRACTICAL EXPERIENCES WITH SCREENING EXPERIMENTS

The benefits of running screening experiments as an integral part of a
successful sequential experimental strategy are discussed. Tips, traps and
Minitab guidelines are provided, using case studies from more than 90 years of
combined personal practice and 47 published screening experiments.


PRESENTED BY:

Steven Bailey


STEVEN BAILEY

Steven P. Bailey founded Steven P. Bailey LLC in 2016 after a 36-year career
with DuPont, where he most recently was their applied statistics principal
consultant and Master Black Belt Network leader. Steve is also currently an
adjunct faculty member in the University of Delaware’s Department of Applied
Economics and Statistics. Steve received his B.S., M.S., and Ph.D. degrees in
statistics from the University of Wisconsin. Steve is a Past President and
Chairman of the Board of ASQ and is an ASQ Fellow and ASQ Distinguished Service
Medalist. Steve is BB and MBB certified by both DuPont and ASQ.


PRINCIPAL AND MASTER BLACK BELT
STEVEN P. BAILEY, LLC

Digital Transformation post-Covid


DIGITAL TRANSFORMATION POST-COVID

Digital disruption impacts every industry globally via innovation, technology
and cultural. We will review the 3 critical components of people, process and
technology, and their interaction in a digital organization while leveraging
analytics for real-time awareness of operational excellence.


PRESENTED BY:

Therese Costich


THERESE COSTICH

Therese Costich is the president and managing partner of the consulting firm The
Costich Group (www.costichgroup.com). She has spent more than 25 years in
Digital Transformation, Lean Six Sigma and Continuous Improvement world, working
with employees from the C-suite to front line associates, for many Fortune 500
companies. Therese uses her expertise in operational excellence, business
analytics and digital transformation to guide organizations to be leaders in
their industry while sustaining continuous improvement and transforming their
businesses to world class. She is recognized as a thought leader on digital
transformation and operational excellence. She is author of Excelling on a
Digital Transformation Journey - A Field Guide That Will Help You Define Your
Success as well as co-author and project manager of The Black Belt Memory Jogger
- A Pocket Guide for Six Sigma Success, First Edition.


PRESIDENT AND MANAGING PARTNER


THE COSTICH GROUP

The Rise of the Mu Sigmas


THE RISE OF THE MU SIGMAS

Institutionalizing data driven decision making requires more than having a
process improvement department. This presentation will discuss “how” the
utilization of Minitab in a process improvement academy has enabled the
institution to move in that direction


PRESENTED BY:

Maryam El-Bakry


MARYAM EL-BAKRY

Maryam El-Bakry is a process improvement lead at Children’s Hospital Colorado
(CHCO), in Denver. She is a certified Black Belt in Lean Six Sigma and is
currently pursuing her Master Black belt certification. She worked at Texas
Children’s Hospital for 5 years as a process engineer and then moved to Denver,
where she became a process improved lead. There she was the program manager for
patient flow and care coordination, while also training and mentoring Green Belt
and Black Belt candidates to certification.


PROCESS IMPROVEMENT LEAD


CHILDREN'S HOSPITAL COLORADO

Effective Risk Management using Gage Studies, Run Charts and Capability Analysis


EFFECTIVE RISK MANAGEMENT USING GAGE STUDIES, RUN CHARTS AND CAPABILITY ANALYSIS

Getting a good night’s sleep is something we all cherish and comes more easily
with less worry and anxiety.  This presentation will focus on simple analysis
tools and fundamentals which can aid you in your decision-making processes,
thereby helping to reduce risk which will (hopefully) result in a better night’s
sleep! 


PRESENTED BY:

Jerry Hamilton


JERRY HAMILTON

Jerry Hamilton is a GMLRS  Procurement Engineer Master Black Belt at Lockheed
Martin in Dallas, Texas.  Jerry works with a team of engineers to employ the use
of Lean Six Sigma and statistical tools/methods to production processes within
the supply chain.  He has worked in the semiconductor, transportation and
aerospace industries throughout his career.  He is certified through the
American Society for Quality (ASQ) as a Six Sigma Master Black Belt.  He holds a
Master of Science degree in Industrial Engineering from the University of
Houston and a Bachelor of Science degree in Mechanical Engineering from New
Mexico State University.


GMLRS  PROCUREMENT ENGINEER MASTER BLACK BELT
LOCKHEED MARTIN

The CEO Wants to Know - A Cart Regression Application


THE CEO WANTS TO KNOW - A CART REGRESSION APPLICATION

The CEO wants to know how to improve HCAHPS (hospital patient satisfaction
scores). Does anybody have any thoughts?  “I’d like to look into that,” in a
moment of curiosity.  What data got included/excluded?  What was learned?  How
did CART Regression help?  Did it move an organization to action?


PRESENTED BY:

Paul Kelly


PAUL KELLY

Paul Kelly’s improvement & quality journey started at a facility with Western
Electric on the facade, a Bell system spin-off, AT&T Microelectronics. Paul has
10 years as a Photolithography Process Engineer in an integrated circuit
manufacturing line. Stints as a Quality Engineer in Medical Device manufacturing
(catheter & surgical kits – Arrow International); a Black Belt with a
semiconductor Gas & Chemical manufacturer (Air Products) and recently in
Healthcare as a Continuous Improvement Project Manager with a hospital network
in eastern PA (Lehigh Valley Health Network). Paul has a BS in Computer Science;
Post Grad Certificate: Data Analytics; Lean Six Sigma Black Belt; ASQ Certified
CQE.


CONTINUOUS IMPROVEMENT PROJECT MANAGER
LEHIGH VALLEY HEALTH NETWORK

Split-Plot Designs – More the Norm than the Exception in DOE


SPLIT-PLOT DESIGNS – MORE THE NORM THAN THE EXCEPTION IN DOE

This talk will explain the origins (plot stands for a plot of land) and basic
concepts of split-plot designs. It will show why these designs that originated
in agriculture are very common in across all industries. We will address how and
why the analysis of the data is different from standard DOE. Finally, we will
show an example where the design was created using complete randomization, but
the experiment itself was conducted as a split-plot. The necessary steps in
Minitab to get the correct analysis for this inadvertent split-plot will be
shown along with the inclusion of center points, which are currently not
available for split-plot designs.


PRESENTED BY:

Scott Kowalski


SCOTT KOWALSKI

Dr. Scott Kowalski earned his Ph.D. in Statistics from the University of
Florida, where he taught several courses and concentrated on design of
experiments. He has been at Minitab LLC since 2001 and is currently the is
Manager, Global Services. Scott has published articles in Journal of Quality
Technology, Quality Engineering, Quality Reliability Engineering International,
Technometrics, and Quality Progress. Scott was awarded the 2005 Lloyd Nelson
Award by ASQ for the paper having “the greatest immediate impact to
practitioners”. He has delivered presentations and seminars at meetings of
professional organizations including the American Society for Quality, American
Statistical Association, the Fall Technical Conference, the Quality and Research
Productivity Conference, and many events in Europe and Asia.


MANAGER, GLOBAL SERVICES
MINITAB, LC

Benefits of Proactive Predictive Analytics


BENEFITS OF PROACTIVE PREDICTIVE ANALYTICS

A case study illustrates how Predictive Analytics can be utilized in a proactive
manner to gain valuable intuition into complex relationships between predictor
and response variables while also reducing future reliance on computationally
intensive analyses.


PRESENTED BY:

Jimmy Leta


JIMMY LETA

While earning a Bachelor of Science in Mechanical Engineering Technology and a
Master of Science in Applied Mathematics, Jimmy developed a passion for using
numerical simulation to solve engineering problems. After completing his
degrees, he worked for The Equity Engineering Group, Inc., in Shaker Heights,
Ohio, where he helped develop, support, and test software products used to
evaluate pressure vessel and piping equipment utilized in oil and chemical
refineries. It was during this period that Jimmy became interested in
computational statistics (e.g., MCMC and Machine learning), which ultimately led
him to pursuing his current role at Minitab. He currently works on a software
development team that is implementing new Predictive Analytics features such as
Random Forests and Discover Best Model.


SENIOR SOFTWARE ENGINEER
MINITAB

Monte Carlo Simulation: A Strategic Tool to Maintain Competitiveness in a
Challenging World


MONTE CARLO SIMULATION: A STRATEGIC TOOL TO MAINTAIN COMPETITIVENESS IN A
CHALLENGING WORLD

Organizational leadership must make strategic improvements to processes to
remain competitive in a fast-changing world. Capital budgets routinely include
funds for investment to update equipment to ensure optimal output and high
levels of quality. Monte Carlo simulations of models made from operational data
allow engineers to test the effect of new equipment without the need for
difficult and costly trials. Success in improving process outputs is greatly
enhanced when investments in technology are focused on inputs that exert the
most sensitivity from variation. The gain in process capability is obvious to
all stakeholders through simple plots easily available via a dashboard.


PRESENTED BY:

Rob Lievense


ROB LIEVENSE

Rob Lievense is a Solutions Architect at Minitab. At Minitab he works with large
organizations helping them to match solutions to their technical needs. Rob has
more than 25 years of experience in data driven approaches to improvement in
both commercial and government organizations, has presented at several
conferences, and has published several papers and authored a book.

Solutions Architect – Minitab, LLC
Human Factors Assessment of Quality Trainer


HUMAN FACTORS ASSESSMENT OF QUALITY TRAINER

The study used physiological measures (electroencephalography (EEG), galvanic
skin response (GSR), eye tracking and facial expression) and subjective
usability questionnaires to determine the effectiveness of Quality Trainer
combined with Minitab on engineering statistical pedagogy.


CO-PRESENTED BY:

Jiahui Ma


JIAHUI MA

Jiahui Ma is a Master Student under Industrial & Management Systems Engineering
at Montana State University. She received one bachelor degree in Financial
Engineering from Montana State University and the other bachelor degree in Plant
Pathology from Fujian Agricultural and Forestry University. Her research
interests include the engineering usability design, human factors/ergonomics,
the workload measurement in healthcare, and the risk of musculoskeletal injuries
and the usage of patient-handling devices among rehabilitation clinicians


GRADUATE STUDENT


MONTANA STATE UNIVERSITY

Bernadette McCrory


BERNADETTE MCCRORY

Dr. Bernadette McCrory is an Assistant Professor at Montana State University.
She teaches a variety of courses including junior-level probability and
statistics, human factors engineering and work design analysis. She has 15 years
of experience working in healthcare and with clinicians including surgeons,
nurses, anesthesiologists, emergency medicine physicians and technicians,
hospitalists, physiatrists, and therapists. She has collaborated on research
projects in healthcare, aviation, engineering education and simulation.


ASSISTANT PROFESSOR


MONTANA STATE UNIVERSITY

MSA Beyond Gage R&R


MSA BEYOND GAGE R&R

How to more efficiently evaluate multiple measurement systems by grouping,
evaluating multiple variables together, and evaluating measurements systems over
time with few resources.


PRESENTED BY:

Abigal Malinosky


ABIGAL MALINOSKY

Abigail Malinosky is a Reliability & Quality Assurance Specialist at Autoliv, an
automotive safety company. She graduated with her B.S. in Mathematics from
Colorado State University and her M.S. in Applied Math & Statistics from the
Colorado School of Mines in Golden, CO. Previously she worked as a high school
math teacher for 4 years and is passionate about continuous learning and
improvement for herself and those she works with. She has recently become a
Certified Reliability Engineer through the American Society for Quality and is
now a global support for reliability of safety products. She also assists in
problem solving training for Quality Engineers and thoroughly enjoys getting to
apply her teaching background in that realm.


RELIABILITY ENGINEER / TRAINER
AUTOLIV

Strategy & Analysis of the Tenets of C-Sat


STRATEGY & ANALYSIS OF THE TENETS OF C-SAT

Customer Satisfaction is the key performance measure for a Customer Service
provider. A sub-optimal C-Sat attracts penalty and impacts client confidence.
This presentation provides a replicable analysis strategy for C-Sat, and details
how Minitab can help analyze the tenets of that strategy.


PRESENTED BY:

Abhishek Mitra


ABHISHEK MITRA

 


GM, BUSINESS EXCELLENCE & TRANSFORMATION - CORPORATE
HINDUJA GLOBAL SOLUTIONS LIMITED

Hiring Profile Using Binary Logistic Regression


HIRING PROFILE USING BINARY LOGISTIC REGRESSION

Establishing a hiring profile customized to the company’s needs is relevant to
its competitiveness and growth. Binary Logistic Regression would be able to help
us identify the factors which are significant to the organization consequently
achieving its client’s requirements.


PRESENTED BY:

Herleenor Mortera


HERLEENOR MORTERA

Herleenor Mortera has contributed more than 11 years of experience from various
industries from Manufacturing to BPO contributing 8M USD dollars savings
throughout her career. In Toshiba where she started as a Process and Failure
Analysis Engineer, she led a project which generated 2M USD savings and was
implemented across countries. She was able to conduct trainings in Singapore for
Six Sigma and ISO 9001:2015 as their Regional Quality and Compliance Manager in
SGS Asia Pacific. As the Digital Transformation Leader in Cognizant and
Concentrix, she was able to implement process improvements and automation
solutions. Currently she’s the AVP for Digital Transformation at WNS Global
Services where she managed Six Sigma Black Belt Professionals in driving digital
solutions. She holds Bachelor of Science in Electronics Communications
Engineering at the University of Santo Tomas, a Certified IA for ISO, and a
Certified Lean Six Sigma Master Black Belt from the University of the
Philippines.


AVP FOR DIGITAL TRANSFORMATION
WNS GLOBAL SERVICES

Discover, Predict and Achieve More with RSM


DISCOVER, PREDICT AND ACHIEVE MORE WITH RSM

Response Surface Methodology is the ideal tool to Discover, Predict and Achieve
your project goals. RSM characterizes the process and accelerates the Discovery
curve to bring products to market. You will learn how to leverage sequentially
designed experiments (DOE) to Achieve world-class quality.


PRESENTED BY:

Gerald Phillips


GERALD PHILLIPS

Jerry Phillips, M.S. Statistics, is the president and founder of Phillips
Statistical Consulting, LLC. Previously, Jerry worked for a highly-regulated
manufacturer and distributor of medical devices (disposable infusion systems and
hardware). During his 35 year tenure, he participated on cross-functional teams
that included engineering, manufacturing, quality and medical professionals to
bring new products to market in a timely fashion that meet regulatory
requirements. He has extensive experience in optimizing processes through the
use of designed experiments (DOE) and process validation. Jerry has developed
and delivered statistical training (including Six Sigma) worldwide that has
enabled thousands of engineers and scientists to interpret and report
statistical results in practical terms.


FOUNDER AND PRESIDENT


PHILLIPS STATISTICAL CONSULTING, LLC

Fraud Detection with Minitab Predictive Analytics


FRAUD DETECTION WITH MINITAB PREDICTIVE ANALYTICS

After obtaining the historical data of e-payments, reported as fraud or
non-fraud, what do you do with it? Don’t panic. With Minitab and its new
Predictive Analytics Module we will follow the path of machine learning
methodology to discover the best model to detect future fraud and go live with
it.


CO-PRESENTED BY:

Stefano Polastri


STEFANO POLASTRI

Stefano Polastri is a Minitab certified trainer, Data Scientist, Software and
Data Architect, CTO @ GMSL s.r.l., Milan. He developed several projects as Data
Scientist, Software and Data Architect and applied Statistics expert at
multination companies acting in different markets such as Pharma, Manufacturing
and Service. He received the M.Sc. degree in Physics and Astrophysics from the
University “Statale di Milano”, Milan, Italy, in 2009. Since 2019 he has been
working on projects related to the use of applied AI (for example predictive
maintenance and fraud detection problems), particularly interested in the
usability of the solutions that can be released in the production environment.
In the period 2013/2019, he was head software & data architect @ Aruba S.p.A
developing software solutions to manage and analyze data. In the period
2009/2019, as consultant, he developed several software for data management and
for mathematical and statistical analysis at many companies.


CTO, SOFTWARE & DATA ARCHITECT, DATA SCIENTIST, CERTIFIED MINITAB TRAINER


GMSL S.R.L.

Ivano Izzo


IVANO IZZO

 


MINITAB SUITE TRAINER, SIX SIGMA & DFSS CONSULTANT


GMSL S.R.L.

Discover What's Impacting Your Bottom Line


DISCOVER WHAT'S IMPACTING YOUR BOTTOM LINE

We discovered predictable external factors that impact our revenue as well as
pricing models that were detrimental to our profitability using various tools in
Minitab . Today we are transforming our service model to achieve increased
customer satisfaction while promoting long-term profitability.


PRESENTED BY:

Anthony Santillanes


ANTHONY SANTILLANES

Anthony is a leader of change with experience in improving processes in the
military, manufacturing, and most recently as part of ProMiles, a software
development company heavily involved in the trucking industry. He leads LSSGB
training at ProMiles and has spoken on process improvement here at Insights
before. Anthony is a certified LSSBB, coach, trainer, and speaker on the John
Maxwell Team, is a best selling author, and holds a master's degree in
Industrial/Organizational psychology.


STRATEGIC PLANNER


PROMILES SOFTWARE DEVELOPMENT CORPORATION

Monte Carlo Simulation in Accident Reconstruction


MONTE CARLO SIMULATION IN ACCIDENT RECONSTRUCTION

Accident reconstruction is a field dedicated to the analysis of factors that
lead to a crash. In this session, we will discuss how Monte Carlo simulation is
used within law enforcement to evaluate likely scenarios and develop conclusions
about the cause of an accident.


PRESENTED BY:

Dustin Smietana


DUSTIN SMIETANA

Dustin is the Road Patrol Lieutenant in the Chenango County Sheriff's Office
located in upstate New York. As an FAA certified drone pilot and accident
reconstructionist, Dustin supports accident, event, and fire investigations. As
a member of the causation forensics team, he determines how and why an accident
happened using car dynamics, photogrammetry, physics, mathematics, engineering,
and computer applications, such as simulation tools.


LIEUTENANT, ROAD PATROL


CHENANGO COUNTY, NY SHERIFF'S OFFICE

Navigate the Winding Road of Weibull Reliability


NAVIGATE THE WINDING ROAD OF WEIBULL RELIABILITY

The Weibull distribution has many applications in problem solving, especially
when examining life cycle data. Performing the analysis correctly and
comprehensively is paramount to properly assess failure mode characteristics,
evaluate design or process improvements, and develop efficient test plans.


PRESENTED BY:

Scott Sterbenz


SCOTT STERBENZ

Scott Sterbenz is a Six Sigma Master Black Belt at Ford Motor Company in
Dearborn, Michigan. In this role since 2001, Scott solves customer satisfaction
and quality issues using the DMAIC and DFSS toolsets. Scott also serves as
Technical Adviser for the United States Bowling Congress, the national governing
body for the sport of bowling. There, he helps develop test plans and data
analysis methods to set specifications and conduct ground breaking research for
the sport. A licensed Professional Engineer in Michigan, Scott holds a
bachelor's and master's degree in Mechanical Engineering from Wayne State
University in Detroit—having graduated first in his class in both programs.
Scott teaches advanced mathematics to middle school students as part of the
MathCOUNTS competition program. In his spare time, Scott enjoys mountain biking
and motorcycling. He is also an accomplished bowler, with twelve certified 300
games and a high certified three-game series of 853.


SIX SIGMA MASTER BLACK BELT


FORD MOTOR COMPANY

My Six Sigma Master Black Belt Journey


MY SIX SIGMA MASTER BLACK BELT JOURNEY

An Engineer’s Master Black Belt journey following the DMAIC model is reviewed,
starting with applied statistics in undergrad Chemical Engineering labs.  This
journey includes three internships at Crayola, during which various projects
were completed, from downtime studies to a Green Belt project that utilized
DOEs.  The discussion will include a Black Belt project with 250+ input factors,
as well as key learnings from using Minitab Engage, leading Green and Black Belt
trainings, creating a Black Belt module on Central Composite Designs, and
expanding into the application and implementation of Lean concepts. The
conclusion of this multi-year journey will be a Master Black Belt project.


PRESENTED BY:

Madeleine Titus


MADELEINE TITUS

Maddie is a certified Six Sigma Black Belt and a Master Black Belt candidate.
 She works as a Process Engineer at Saint-Gobain’s Merrimack, NH plant, where
she leads Lean and Six Sigma initiatives.  In 2022, Maddie completed a Black
Belt project that included 250+ input factors and reduced changeover time by 85%
using sequential DOEs and robust control plans.  Also in 2022, Maddie was
awarded The Manufacturing Institute’s STEP Ahead Emerging Leader award, which
recognizes 30 women under 30 in the manufacturing industry.  Prior to
Saint-Gobain, Maddie worked at Armstrong Flooring, where she gained
manufacturing experience in a rotational training program, then as a Process
Engineer for the Luxury Vinyl Tile line, and finally as a Lean Engineer
supporting multiple production lines.  Maddie began her statistical journey as
an intern at Crayola and used applied statistics in her Chemical Engineering
courses at Lafayette College, where she earned her degree in 2018.


PROCESS ENGINEER
SAINT-GOBAIN’S MERRIMACK

DMAIC and DOEs with your Customer


DMAIC AND DOES WITH YOUR CUSTOMER

Precision Roll Grinders is committed to providing the high-quality ground rolls
as well as partnering with customers in order to determine the optimal process
settings following the DMAIC process.


PRESENTED BY:

Rich Titus


RICH TITUS

Dr. Richard Titus started his Lean Six Sigma journey in 1998 as a Wave I Master
Black Belt at Ingersoll-Rand. Rich’s broad experience ranges from hands-on
leadership of continuous improvement and Lean initiatives in multiple industries
to teaching in a variety of academic and corporate environments. These
organizations represent a wide range of industries including defense, energy and
consumer products with products varying from highly engineered low volume to
high volume consumer products. Savings for these organizations exceeds $50+MM.
Rich is an adjunct faculty member in Lehigh University’s College of Business and
Economics following a 20-year career at Ingersoll-Rand. He recently earned his
Ph.D. at Penn State University in Industrial and Manufacturing Engineering.


PRINCIPAL AND ADJUNCT FACULTY


TITUS CONSULTING AND LEHIGH UNIVERSITY

Feature Engineering: A Key to Better Predictive Models


FEATURE ENGINEERING: A KEY TO BETTER PREDICTIVE MODELS

Feature engineering is the task of using knowledge about a process and its
resulting data to extract properties, or features, that make predictive models
work. In this session, we will discuss some simple feature engineering
techniques, how to apply them in Minitab, and how the techniques fit into the
framework of predictive models.


PRESENTED BY:

Tom Williams


TOM WILLIAMS

Tom Williams is a Solutions Engineer at Minitab, where he supports the
commercial sales teams in the Americas through specialized presentations
tailored to helping Minitab customers gain insights utilizing Minitab solutions.
Prior to Minitab, Tom has leveraged data to help drive decision making and solve
problems in roles with GE Healthcare, IMG Learfield Ticket Solutions, and Penn
State Wrestling. Areas of interest and expertise include predictive analytics,
design of experiments, statistical process control, visualizing data, Six Sigma,
and Monte Carlo simulation. Tom holds a bachelor’s degree in applied statistics
and a minor in economics from Penn State University and he is also a certified
Six Sigma Black Belt.


SOLUTIONS ENGINEER


MINITAB

Gage R&R for Leak Testing: A Two-Stage Approach


GAGE R&R FOR LEAK TESTING: A TWO-STAGE APPROACH

A crossed gage R&R for a custom-built leak tester is reviewed. Extreme
part-to-part variation required the use of a two-stage analysis: an attribute
data analysis for gross leaks of 1.000 - 5.000 SCCM and a second, variable data
analysis for leak rates of 0.0001 - 0.0100 SCCM.


PRESENTED BY:

Jason von Wilpert


JASON VON WILPERT

Jason von Wilpert currently works as a Senior Process Engineer at Masimo in
Irvine, California. His work involves transferring new designs into
manufacturing and he regularly uses several statistical techniques in process
development & optimization: measurement system analysis, design of experiments,
process capability, ANOVA, and regression. He also supports a variety of
continuous improvement efforts and is data-driven in his analysis. He has 32
hours of course credit in "Statistical Tools for Medical Devices" from Minitab
and is a regular user of Minitab's support page and blog, and frequently submits
questions and observations to Minitab's customer support service. Jason holds an
M.S. in Material Science and Engineering from the University of California,
Irvine, and a B.S. in Applied Physics from the University of California, Santa
Cruz.


SENIOR ENGINEER II, PROCESS


MASIMO

Boost Prediction Power with TreeNet-Random Forests


BOOST PREDICTION POWER WITH TREENET/RANDOM FORESTS

This talk is a continuation to our dialogue on CART methodology at 2019 Minitab
Insights Conference. As we discussed before, CART, a single decision tree, is
less powerful for prediction. Its two ensemble methods, TreeNet and Random
Forests, can address the issue, which makes the presentation topic.


PRESENTED BY:

Yanling Zuo


YANLING ZUO

Dr. Yanling Zuo is a senior advisory statistician at Minitab LLC. She has been
the lead statistical designer of Minitab Statistical Software (MSS) since 2007.
Yanling is an expert in statistical methodology. Since joining Minitab in 1998,
she has designed/enhanced more than 70 statistical commands in the following MSS
menus: Predictive Analytics Module, Basic Statistics, Regression, ANOVA, Control
Charts, Quality Tools, Time Series, Tables, Equivalence Tests, Power and Sample
Sizes, Assistant. She has written/reviewed many technical papers for MSS users.
Yanling has made invited presentations at the Joint Statistical Meetings, the
Fall Technical Conference, and the Quality and Productivity Research Conference.
She has published research results in journals/book. Yanling earned her PhD
degree in Statistics from Pennsylvania State University, MSc in Statistics from
University of British Columbia, and MSc in Electrical Engineering from Beijing
Institute of Technology.


SENIOR ADVISORY STATISTICIAN
MINITAB




CHECK BACK SOON!
MORE SESSIONS ARE STILL
TO BE ADDED!




REGISTER NOW


 


9


PRE-CONFERENCE
WORKSHOPS

Enhance your skills with a pre-conference workshop. Taught by Minitab experts,
these workshops cover topics that will help you take an in-depth look at your
data and discover new insights. Add a workshop or two to your agenda when
registering for the conference! 

 * You must be registered for the conference.
 * Registration is required. Seating is limited. 
 * Workshops are 4 hours with two 15-minute breaks.
 * Lunch is provided.


CHOOSE FROM THE FOLLOWING WORKSHOPS:

Macros for Beginners


MACROS FOR BEGINNERS

SUNDAY, APRIL 30, 2023
8:00 AM TO 12:00 PM

Many times, statistical analysis is needed on structured data that simply
changes over time. Some examples include weekly production data and customer
billing data. Other times, a common analysis of your data may take 6-8 steps in
Minitab. Clicking through the user-interface and setting up the dialog box can
be time consuming. In both scenarios, it can be extremely beneficial to fast
track your analysis using Minitab command language and basic macros. 

Learn to automate your Minitab analysis and save time with macros. Discover
Minitab’s command language and learn how to convert your repetitive analysis
into a macro. By the end of this hands-on course, you will learn of Minitab’s
macro capabilities and be able to write and execute your own simple macros.

Topics include: 

 * Overview of Minitab Macros 
 * Setting up the environment in Minitab 
 * Interacting with Command Line/History Pane 
 * Session Commands 
 * Creating and running an Exec macro

Prerequisite
Familiarity with navigating Minitab and Windows.

SUNDAY, APRIL 30, 2023
8:00 AM TO 12:00 PM


TOPICS INCLUDE: 

 * Overview of Minitab Macros 
 * Setting up the environment in Minitab 
 * Interacting with Command Line/History Pane 
 * Session Commands
 * Creating and running an Exec macro


PREREQUISITE

 * Familiarity with navigating Minitab and Windows.

Introduction to Predictive Analytics


INTRODUCTION TO PREDICTIVE ANALYTICS

SUNDAY, APRIL 30, 2023
8:00 AM TO 12:00 PM

Use Minitab’s powerful engine and easy-to-use interface to create visualizations
and build models. Learn the basics of predictive analytics including a roadmap
for developing and leading a culture of analytics in your organization. 

Begin your analytics journey by analyzing data from real world problems to
explore and describe relationships between variables. Learn to use the
supervised machine learning technique known as CART® to analyze patterns found
in historical data to gain better insights, identify potential risks, seek out
improvement opportunities, and make predictions about the future. 

Topics include: 

 * Data Visualization
 * Modeling Techniques: including Regression, Logistic Regression, and CART
 * Cross Validation
 * Prediction

Prerequisite
Minitab Essentials – basic understanding of Minitab, hypothesis tests,
confidence intervals, p-values, and regression analysis. 

SUNDAY, APRIL 30, 2023
8:00 AM TO 12:00 PM


TOPICS INCLUDE: 

 * Data Visualization
 * Modeling Techniques: including Regression, Logistic Regression, and CART
 * Cross Validation
 * Prediction


PREREQUISITE

 * Minitab Essentials – basic understanding of Minitab, hypothesis tests,
   confidence intervals, p-values, and regression analysis. 

Design for Six Sigma


DESIGN FOR SIX SIGMA

SUNDAY, APRIL 30, 2023
8:00 AM TO 12:00 PM

Overall business improvement cannot be achieved by focusing on reducing
variability and waste in the manufacturing processes alone. No matter how well a
product is manufactured, if it is overly sensitive to real-world conditions
(Noise), meeting and exceeding customer requirements will forever be a
challenge. One method to address the aspect of sensitivity to Noise is Robust
Design, which is a primary objective of Design for Six Sigma – an approach for
taking the operational excellence philosophy of Six Sigma upstream from
manufacturing into product and process design.

Learn the concepts and methodology of Robust Engineering (IDDOV) Design for Six
Sigma. With this knowledge, your organization can develop robust products and
processes to drive operational and enterprise excellence. 

Topics include: 

 * Robust Design and Noise
 * Design of Experiments
 * Monte Carlo Simulation
 * Quality Function Deployment
 * Parameter Diagrams
 * Voice of Customer 

Prerequisite
Minitab Essentials – a basic understanding of hypothesis tests, confidence
intervals, p-values, and regression analysis

SUNDAY, APRIL 30, 2023
8:00 AM TO 12:00 PM


TOPICS INCLUDE: 

 * Robust Design and Noise
 * Design of Experiments
 * Monte Carlo Simulation
 * Quality Function Deployment
 * Parameter Diagrams
 * Voice of Customer 


PREREQUISITE

 * Minitab Essentials – a basic understanding of hypothesis tests, confidence
   intervals, p-values, and regression analysis

Reliability Analysis


RELIABILITY ANALYSIS

SUNDAY, APRIL 30, 2023
8:00 AM TO 12:00 PM

Determine lifetime characteristics of a product using both graphical and
quantitative analysis methods. Examine real-world applications containing
censored and uncensored data to learn how to correctly handle a wide variety of
data structures commonly found in reliability. 
Explore the common distributions used to model failure rates and develop
necessary skills in choosing these models. Learn how to handle accelerating
variables in an accelerated life test. A strong emphasis will be placed on using
appropriate probability models to predict important lifetime characteristics of
your products

Topics include: 

 * Parametric Distribution Analysis
 * Sample Size for Estimation
 * Multiple Failure Modes
 * Accelerated Life Testing

Prerequisite
Minitab Essentials – basic understanding of Minitab, hypothesis tests,
confidence intervals, p-values, distribution testing, and regression analysis.

SUNDAY, APRIL 30, 2023
8:00 AM TO 12:00 PM


TOPICS INCLUDE: 

 * Parametric Distribution Analysis
 * Sample Size for Estimation
 * Multiple Failure Modes
 * Accelerated Life Testing


PREREQUISITE

 * Minitab Essentials – basic understanding of Minitab, hypothesis tests,
   confidence intervals, p-values, distribution testing, and regression
   analysis.

Measurement System Analysis


MEASUREMENT SYSTEM ANALYSIS

SUNDAY, APRIL 30, 2023
8:00 AM TO 12:00 PM

Measurement data is used to make decisions about the process and the business in
general. Therefore, it is critical for this data to be accurate and precise. A
bad measurement system could lead to erroneous decisions. Measurement System
Analysis (MSA) is used to build trust in the data used for the decision-making
process.

Develop the necessary skills to successfully evaluate and certify manufacturing
and engineering measurement systems. Explore the fundamentals of MSA studies for
nondestructive and destructive tests. Learn how to incorporate an additional
factor such as part location or multiple gages into a MSA Study. Investigate how
accurate your measurements are across the expected range of the measurements.
Understand how these important quality tools can provide the necessary evidence
to trust the data gathered from manufacturing processes.

Topics include: 

 * Crossed Gage R&R
 * Nested Gage R&R
 * Gage Linearity and Bias
 * Expanded Gage R&R

Prerequisite
Minitab Essentials – basic understanding of Minitab, hypothesis tests,
confidence intervals, p-values, and ANOVA.

SUNDAY, APRIL 30, 2023
8:00 AM TO 12:00 PM


TOPICS INCLUDE: 

 * Crossed Gage R&R
 * Nested Gage R&R
 * Gage Linearity and Bias
 * Expanded Gage R&R


PREREQUISITE

 * Minitab Essentials – basic understanding of Minitab, hypothesis tests,
   confidence intervals, p-values, and ANOVA. 

Advanced Macros


MEASUREMENT SYSTEM ANALYSIS

SUNDAY, APRIL 30, 2023
8:00 AM TO 12:00 PM

For those who have a working knowledge of Minitab command language and the power
of Exec macros, it is now time to take your macro writing skills to the next
level. Exec macros are a first step in automating your analyses and saving time
but offer little flexibility to meet different data structures or user inputs.
Many times, there are unknowns about the data, such as how many columns of data
to analyze or if the data meets a certain condition for the analysis, such as
normality, until the data is already collected and imported into Minitab.
Advanced Minitab macros, global and local, can account for these uncertainties
about the data and still allow the analyst to automate the analyses from start
to finish.

Learn to customize your results beyond using the commands from the History
window and transform your Exec macros into more flexible macros. Learn advanced
programming techniques and the tricks used by the experts. 

Topics include: 

 * Overview of the three Minitab macros types: Exec, Global, Local
 * Understanding of which macro to use and benefits of each
 * Macro commands and syntax
 * Conditional statements such as Do Loops and If/Else
 * Tips and tricks 

Prerequisite
Macros for Beginners – familiarity with navigating Minitab and Windows,
knowledge of Minitab Exec macros and command language.

SUNDAY, APRIL 30, 2023
1:00 PM TO 5:00 PM


TOPICS INCLUDE: 

 * Overview of the three Minitab macros types: Exec, Global, Local
 * Understanding of which macro to use and benefits of each
 * Macro commands and syntax
 * Conditional statements such as Do Loops and If/Else
 * Tips and tricks 


PREREQUISITE

 * Minitab Essentials – basic understanding of Minitab, hypothesis tests,
   confidence intervals, p-values, and regression analysis. 

Advanced Predictive Analytics


ADVANCED PREDICTIVE ANALYTICS

SUNDAY, APRIL 30, 2023
1:00 PM TO 5:00 PM

For those who understand the basics of predictive analytics using cross
validation, it is now time to take your skills to the next level. Ensemble
modeling is the process of combining information from multiple base models to
improve prediction and reduce the variance.

Learn two common ensemble modeling tools. Random Forests uses bootstrap sampling
and out-of-bag validation while TreeNet uses stochastic gradient boosting to
model generalized residuals. Both techniques generate many decision trees and
use their combined information to create a powerful predictive model. Use the
Predictive Analytics Module within Minitab to apply these methods to identify
important variables and make predictions about the future.

Topics include: 

 * Data Visualization
 * Bootstrap Sampling and Out-Of-Bag
   Validation
 * Random Forests
 * Random Sampling and Learning Rate
 * TreeNet
 * Prediction

Prerequisite
Introduction to Predictive Analytics – basic understanding of Minitab,
regression analysis, and CART.



SUNDAY, APRIL 30, 2023
1:00 PM TO 5:00 PM


TOPICS INCLUDE: 

 * Data Visualization
 * Bootstrap Sampling and Out-Of-Bag
   Validation
 * Random Forests
 * Random Sampling and Learning Rate
 * TreeNet
 * Prediction


PREREQUISITE

 * Introduction to Predictive Analytics – basic understanding of Minitab,
   regression analysis, and CART.

Design of Experiments


DESIGN OF EXPERIMENTS

SUNDAY, APRIL 30, 2023
1:00 PM TO 5:00 PM

Use Minitab’s customizable and powerful graphical displays to interpret and
communicate experimental results to improve products and processes, find
critical factors that impact important response variables, reduce process
variation, and expedite research and development projects. Real-world
applications demonstrate how the concepts of randomization, replication, and
blocking form the basis for sound experimentation practices. Develop the skills
necessary to correctly analyze resulting data to effectively and efficiently
reach experimental objectives.

Learn to generate full factorial designs using Minitab’s intuitive DOE
interface. Understand how to account for variables (covariates) that may affect
the response but cannot be controlled in the experiment. Explore the
opportunities of using repeats to minimize variability while simultaneously
optimizing an important product or process characteristic. 

Topics include: 

 * Design of Factorial Experiments
 * Normal Effects Plot and Pareto of Effects
 * Power and Sample Size
 * Main Effect, Interaction, and Cube Plots
 * Overlaid Contour Plots
 * Multiple Response Optimization
 * Analyze Variability
 * Blocking and Analysis of Covariance 

Prerequisite
Minitab Essentials – basic understanding of Minitab, hypothesis tests,
confidence intervals, p-values, and regression analysis. 

SUNDAY, APRIL 30, 2023
1:00 PM TO 5:00 PM


TOPICS INCLUDE: 

 * Design of Factorial Experiments
 * Normal Effects Plot and Pareto of Effects
 * Power and Sample Size
 * Main Effect, Interaction, and Cube Plots
 * Overlaid Contour Plots
 * Multiple Response Optimization
 * Analyze Variability
 * Blocking and Analysis of Covariance 


PREREQUISITE

 * Minitab Essentials – basic understanding of Minitab, hypothesis tests,
   confidence intervals, p-values, and regression analysis. 

Process Capability


PROCESS CAPABILITY

SUNDAY, APRIL 30, 2023
1:00 PM TO 4:00 PM


Process capability assesses the ability of a stable process to produce output
within specification limits. Capability analysis often assumes a Normal
distribution and uses metrics like Cpk, Ppk, and PPM. Learn how to utilize these
important capability analysis tools to evaluate your process relative to
internal or customer specifications.

Develop the necessary skills to successfully use graphical methods and
statistical tests for detecting nonnormal data and choosing an appropriate
distribution or transformation for the analysis. Build on the fundamental
concepts of capability analysis by learning additional tools for measuring
quality levels and assessing process capability when your data are skewed, have
extreme outliers, or are multimodal. The emphasis will be placed on
manufacturing processes.

Topics include: 

 * Capability Sixpack
 * Capability Analysis Normal
 * Individual Distribution Identification
 * Capability Analysis Nonnormal
 * Capability Analysis Multiple Variables
 * Tolerance Intervals 

Prerequisite
Minitab Essentials – basic understanding of Minitab, hypothesis tests,
confidence intervals, p-values, and graphical analysis. 

SUNDAY, APRIL 30, 2023
1:00 PM TO 4:00 PM


TOPICS INCLUDE: 

 * Capability Sixpack
 * Capability Analysis Normal
 * Individual Distribution Identification
 * Capability Analysis Nonnormal
 * Capability Analysis Multiple Variables
 * Tolerance Intervals 


PREREQUISITE

 * Minitab Essentials – basic understanding of Minitab, hypothesis tests,
   confidence intervals, p-values, and graphical analysis. 




GROW YOUR NETWORK AND BUILD STRONG RELATIONSHIPS WITH OTHERS WHO ARE EAGER TO
LEARN AND SHARE INNOVATIVE AND PROVEN TECHNIQUES TO TRANSFORM THEIR
ORGANIZATION.

REGISTER NOW




HEARING DIRECTLY FROM PRACTITIONERS HOW THE SOFTWARE IS USED AND CONNECTING WITH
OTHER USERS MADE ME EXCITED TO GO BACK TO WORK AND UTILIZE THE TOOLS!




THE SESSIONS! THIS IS TRULY A PRACTITIONER’S CONFERENCE, AND IT WAS GREAT TO
HEAR ALL THE WAYS MINITAB IS USED TO IMPROVE QUALITY IN SO MANY INDUSTRIES.


THE CONTENT, PEOPLE, AND RESOURCES (I.E., LAB). IT WAS A GREAT GROUP OF LIKE
MINDS COMING TOGETHER.




EXPECTATION WAS TO HEAR FROM THE EXPERTS AND TO EXPAND MY PROFESSIONAL KNOWLEDGE
AS WELL AS MEET AND INTERACT WITH ATTENDEES TO SHARE THOUGHTS. EXPECTATION
MET!!!!







2023 CONFERENCE PRICING

EARLY BIRD REGISTRATION:
 $925.00 / now until February 28th, 2023


REGULAR REGISTRATION: 
 $1,250.00 / March 1st through May 2nd, 2023


EACH CONFERENCE REGISTRATION INCLUDES:

 * Breakfast and Lunch
 * All Day Break Station
 * Welcome & Networking Reception
 * Keynotes
 * Access to over 30 concurrent sessions
 * Post conference recordings (available only to attendees)
 * 1:1 hands-on advice in the Minitab Solution Center
 * Interaction with Minitab Subject Matter Experts

HALF DAY WORKSHOPS PRIOR TO THE CONFERENCE:
Workshops will take place on April 30, 2023 and are 4 hours each

WORKSHOP FEE: $375 each

MORNING WORKSHOPS 8:00 AM – 12:00 PM
Macros for Beginners
Introduction to Predictive Analytics
Design for Six Sigma
Reliability Analysis
Measurement System Analysis

AFTERNOON WORKSHOPS 1:00 PM – 5:00 PM
Advanced Macros
Advanced Predictive Analytics
Design of Experiments
Technical Problem Solving - Root Cause Analysis
Process Capability




YOU DON’T WANT TO MISS THIS

REGISTER NOW



MINITAB INSIGHTS WILL BE HELD AT THE BEAUTIFUL


SCOTTSDALE RESORT AT MCCORMICK RANCH SCOTTSDALE, ARIZONA

The Scottsdale Resort at McCormick Ranch
7700 E. McCormick Parkway
Scottsdale, AZ 85258


MAY 1-3, 2023

For more information on the venue, and to book your stay at the Scottsdale
Resort at McCormick Ranch, visit the Minitab Insights Scottsdale Resort at
McCormick Ranch reservation page soon, rooms sell out quickly!




AIRLINE DISCOUNTS

The resort is just 16 miles from the Phoenix Sky Harbor Airport.
Airfare Discounts will be available for this event. Additional information and
codes will be posted as they become available.


AIRLINE DISCOUNTS

Delta Airlines

Meeting Code NY292

Reservations and ticketing is available via www.delta.com/meetings or by calling
our Delta Meeting Network Reservations at 800-328-1111. When booking online at
www.delta.com/meetings, select 'Book Your Flight' and enter your Meeting Code in
the box provided.

United

To make flight reservations online please click on discount code ZN4R241943

You may also call United Meetings Reservation Desk Monday – Friday at (800)
426-1122 for booking assistance.

Booking fees are waived for Meeting reservations. International customers may
contact their local United Reservation Desk.

JUSTIFICATION LETTER


NEED HELP WITH JUSTIFYING YOUR TRIP?

Click here for an MS Word Template Letter with all the details you need to
present to your supervisor.

DISCLAIMER: Third-Party Reservations. Minitab does not solicit hotel rooms, nor
do we share any attendee lists with outside marketing companies. Should you
receive a call from a housing company please know that these companies are not
affiliated with Minitab or with The Scottsdale Resort at McCormick Ranch. You
are strongly discouraged from making reservations with these companies as the
reservations may not be honored when you check in.

If you receive a call or email from a third-party company, please email the
conference organizer at insights@minitab.com.

Terms and Conditions



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