Data Collection: Six Sigma Thinking, #1

By Sumeet Savant

Understanding Data Collection for Six Sigma, knowing how to collect Data, selecting the right Data Types, Scales, and Sampling techniques and tools has never been easier!

Have you ever wanted to perform Data Collection for your company's processes?

Have you ever wanted to perform Data Collection for your customer's processes?

Have you ever wanted to identify the right Data Types, Scales, Sampling techniques, and tools, reduce process variations, and increase process capabilities in your company?

If the anwer to any of these questions is yes, you need look no further.

Lean Six Sigma Master Black Belt Mentor and Coach, Sumeet Savant, with more than a decade of experience in executing, leading, and mentoring hundreds of Lean Six Sigma improvement projects brings to you a simple, straight forward, no nonsense book which will enable you understand the Data Collection process, understand the various Data types, scales, sampling techniques, and collection tools, and achieve the process improvements you have always dreamt of, quickly, effectively, and efficiently.

He shares his belief: "Your processs variation can reduce, process capability can increase, and process improvements can indeed happen, if and only if you have collected the right data, in the right way, and at the right time"

Do Act Now and have a LOOK INSIDE the short book to have a brief experience of the immensely valuable information it has in store for you.

With this book, you will get to,

- Know what is Data, and its Collection.
- Know, undestand, and appreciate the relation between Data, Information, Knowledge, and Wisdom.
- Know and understand more than ten Data Types.
- Know and understand the four Data Scales.
- Know and understand more than ten Data Sampling Techniques, with useful, meaningful, and easy to understand examples.
- Know and understand the most famous Data Capture Tools.
- Know and understand how to create Survey Questionnaire, with a sample.
- Know and understand Operational Definition, along with an example.
- Know and understand what Data Accuracy, and Precision exactly means, and their difference.
- And know all these in the least number of words possible – to help you improve your processes and reduce process variations faster.

This may very well be the last book you will ever need to learn Data Collection for Six Sigma and achieve overall improvements in your processes, services, and products.

We are sure about it! And, so will you be!

• Language: English
• Publisher: Sumeet Savant
• Release date: Feb 8, 2019
• ISBN: 9781540134714

Sumeet Savant

Sumeet Savant is a Lean Six Sigma Master Black Belt Mentor and coach, with more than a decade of experience in executing, leading and mentoring Lean Six Sigma process improvement projects. He is a BTech, MBA, and Prince certified Practitioner. He has facilitated hundreds of process improvement projects, and coached hundreds of professionals, White, Yellow, Green, and Black Belts over the years. He lives in Mumbai, India with his family.

Book preview

Table of Contents

Cover

Title

About the Author

Section I Data

Data

Information, Knowledge, Wisdom

Section II Data Types

Data Types

Data Types based on the Characteristic

Data Types based on the Nature of Characteristic

Data Types based on the Level of Measurement

Data Types based on the Time Component

Data Types based on the Ways of Obtaining Data

Section III Data Scales

Data Scales

Nominal Scale

Ordinal Scale

Interval Scale

Ratio Scale

Section IV Data Sampling

Data Sampling

Reasons for Sampling

Types of Sampling

Types of Probability Sampling

Simple Random Sampling

Systematic Random Sampling

Stratified Random Sampling

Cluster Random Sampling

Types of Non Probability Sampling

Quota Sampling

Purposive Sampling

Extreme Case Sampling

Critical Case Sampling

Typical Case Sampling

Heterogenous Sampling

Homogeneous Sampling

Theoretical Sampling

Vounteer Sampling

Self Select Sampling

Snowball Sampling

Haphazard/Convenience Sampling

Section V Data Capture Tools

Data Capture Tools

Preparing a Questionnaire

Sample Questionnaire

Section VI Operational Definition

Operational Definition

Sample of Operational Definition

Section VII Data Accuracy and Precision

Data Accuracy and Precision

Author's Note

titlepage.png

Data Collection

Six Sigma Thinking Series

––––––––

Sumeet Savant

––––––––

(c)2019, Sumeet Savant

All rights reserved

Table of Contents

Cover

Title

About the Author

Section I Data

Data

Information, Knowledge, Wisdom

Section II Data Types

Data Types

Data Types based on the Characteristic

Data Types based on the Nature of Characteristic

Data Types based on the Level of Measurement

Data Types based on the Time Component

Data Types based on the Ways of Obtaining Data

Section III Data Scales

Data Scales

Nominal Scale

Ordinal Scale

Interval Scale

Ratio Scale

Section IV Data Sampling

Data Sampling

Reasons for Sampling

Types of Sampling

Types of Probability Sampling

Simple Random Sampling

Systematic Random Sampling

Stratified Random Sampling

Cluster Random Sampling

Types of Non Probability Sampling

Quota Sampling

Purposive Sampling

Extreme Case Sampling

Critical Case Sampling

Typical Case Sampling

Heterogenous Sampling

Homogeneous Sampling

Theoretical Sampling

Vounteer Sampling

Self Select Sampling

Snowball Sampling

Haphazard/Convenience Sampling

Section V Data