Decision Making for Leaders: Leveraging Data

Easy-to-Follow Techniques for Extracting Managerial Insights from your Organization's Data

Ratings 4.40 / 5.00
Decision Making for Leaders: Leveraging Data

What You Will 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

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

In addition to over 3 1/2 hours of high-quality video, this class also offers several downloadable resources including:

  • The slide deck for each of the three lessons (OVER 200 SLIDES TOTAL)

  • Several Excel Spreadsheets that were used during these lessons (Excellent for practicing your new skills!!)

If you are going to be successful in business or operations, you must know how to extract useful insights from your organization's data. 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 Should Attend!

  • Manufacturing managers and supervisors
  • Quality managers, engineers and technicians
  • Supply chain managers and analysts
  • Industrial engineers and manufacturing engineers

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Subscribers

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Lectures

62

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