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Decision Making for Leaders: Leveraging Data
Published 10/2023
Duration: 3h 36m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.76 GB
Genre: eLearning | Language: English
Getting Started in Extracting Insights from your Organization's Data
What you'll learn
How to use your organization's data to make better decisions
The nature and sources of variation in business data
Common cause versus special cause variation
How to calculate and use a capability index
How to start making statistically confirmed decisions
An overview of Designed Experiments
Types of hypothesis errors
Hypothesis testing steps
T tests and Z tests
One way and two way ANOVA
An overview of Design of Experiments (DOE)
An understanding of leading and lagging indicators
The 10 steps toward building a Quality Operating System (QOS)
QOS examples in manufacturing
Excel-based, downloadable spreadsheets
Requirements
Basic understanding of math, manufacturing, and business
A desire to take your decision making skills to the next level
Description
If you are a manufacturing professional looking to advance your data analysis skillset so that you can advance your business career, then this is the class for you!!
In this second course in its series course,
"Decision Making for Leaders: Leveraging Data"
, you will learn beginner and intermediate level skills from 3 important areas of business data analysis:
Understanding and Analyzing Data Variation
Making Statistically Confirmed Decisions
Utilizing Leading and Lagging Indicators to Monitor Business Processes
Each of these sections are
"bite sized" lessons
that a busy professional can watch in one or two lunch breaks or evenings.
In the first section,
Understanding and Analyzing Data Variation
, you will learn:
The value of visualizing your data on a time-based run chart
How to calculate control limits as a means of characterizing the normal range of your process
How to use Cpk as a business indicator
In the second section,
Making Statistically Confirmed Decisions
, you will learn:
How to use intermediate level statistical tools like t tests, z tests and ANOVA to make better business decisions
An overview of Design of Experiments (DOE) as a mean of validating your improvements
An introduction to more advanced DOE concepts like fractional factorial and Taguchi methods
And in the third section,
Utilizing Leading and Lagging Indicators to Monitor Business Processes
, you will learn:
The value of both leading and lagging indicators in monitoring your business processes
Real life examples of both types of indicators
Connecting leading and lagging indicators for greater business success
If you are going to be successful in business or operations, you must know how to extract useful insights from the data your organization is producing. Complement your managerial and people skills today with
"Decision Making for Leaders: Leveraging Data"
, and take your career to its next level.
See you in class!!
Who this course is for:
Manufacturing managers and supervisors
Quality managers, engineers and technicians
Supply chain managers and analysts
Industrial engineers and manufacturing engineers
More Info
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