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