Measurement and Statistics : Data Quality


Take a Big Byte

by Su, Chao-Ton

Quality improvement is a key principle of total quality management and a never-ending process for every organization. A systematic approach is crucial for improving the process and product quality to enhance organizational competitiveness....


Statistics Spotlight: A Unified Approach

by Jones-Farmer, L. Allison; Hoerl, Roger

The emerging discipline of statistical engineering focuses on how to link and integrate multiple methods—including those outside of statistics—in an overall approach to address complex problems....


Open Access

Show Me the Pedigree

by Hoerl, Roger W.; Snee, Ronald D.

Data analysis is a cornerstone of quality improvement. While there’s obviously much more to quality than data and statistics, devoid of analytics, quality can devolve into a lot of hype, slogans and fanfare....


Revolutionary Impact?

by Freiesleben, Johannes

Machine learning, aka deep learning, is gaining more attention these days. As a part of the field of AI, machine learning deals with algorithms that make computers think—that is, making sense of huge amounts of unstructured data by themselves....


Statistics Spotlight: How Good Are My Data?

by Seaman, Julia E.; Allen, I. Elaine

For many every day uses, applied statistics is used to prove superiority, inferiority or equivalence or test for outliers....


Statistics Spotlight: Know the Differences

by Barsalou, Matthew

Data are not the same as information. Data alone serve little purpose. To be useful, data must be transformed into information....


Open Access

The Deal With Big Data

by Boulanger, Michele; Chang, Wo; Johnson, Mark; Kubiak, T.M.

The era of big data is upon us. While providing a formidable challenge to the classically trained quality practitioner, big data also offers substantial opportunities for redirecting a career path into a computational and data intensive environment....


Field Notes: Maintaining Data Integrity

by Rodriguez Perez, Pepe

In August 2015, the European Union (EU) banned the marketing of about 700 Indian-made generic drugs for alleged manipulation of clinical trials data....


Open Access

One Good Idea: The 3-D Pareto Chart

by Levinson, William A.

A 3-D Pareto chart is a better way to visualize closed-loop corrective action processes....


Open Access

New Heights

by Mermel, Matt;

Whether they are Fortune 500 conglomerates or small start-ups, many organizations regard translation and localization as peripheral to their business model and profit margins, often delegating the task to in-country employees without formal training....


Open Access

One Good Idea: Put to the Test

by Gojanovic, Tony

Count data are everywhere, and they form the basis of many decision-making statistics. Learn about formulas that help determine data’s statistical significance....


Open Access

Best of Back to Basics: Eight Simple Steps

by Sharma, Mohit

Collecting data is a critical and important step in putting a project together. In experience reviewing projects, I have seen Black Belts often make mistakes in collecting data. This affects the overall result....


Open Access

Back to Basics: Eight Simple Steps

by Sharma, Mohit

Collecting data is a critical and important step in putting a project together. In experience reviewing projects, I have seen Black Belts often make mistakes in collecting data. This affects the overall result....


Open Access

Volviendo a los Fundamentos: Ocho sencillos pasos

by Sharma, Mohit

Collecting data is a critical and important step in putting a project together. In experience reviewing projects, I have seen Black Belts often make mistakes in collecting data. This affects the overall result....


3.4 per Million: Understanding the Data

by Breyfogle, Forrest W. III

At the end of business quarters, many people spend precious time and effort preparing to satisfy management’s need to know how the business is faring....


Open Access

Perspectives: Traversing a Data Jungle

by Vaidya, Jigish

The definition of data, simply put, is facts and statistics collected for reference or analysis. Even more important, however, is thinking about how to make data work for you....


Open Access

Breaking Down Barriers

by Liu, Shu

To leverage the benefits and prepare for the challenges big data present, quality professionals must change their mindset, get more data, upgrade their skills and expand their roles in the big data universe....


Follow the Fundamentals

by Snee, Ronald D. ; DeVeaux, Richard D.; Hoerl, Roger W.

New technology for acquiring, storing and processing data is being introduced at an ever-increasing pace. In 2012, the White House launched a national “Big Data Initiative.” According to IBM, 1.6 zettabytes of digital data are now available....


Measure for Measure: Into the Unknown

by Shah, Dilip

For estimation of measurement uncertainty, both Type A and B uncertainty contributors may need to be considered, depending on the parameter that is being estimated....


Open Access

Balancing Act

by Montgomery, Eda Ross; Neway, Justin

With common quality methods and standards in place, manufacturing organizations share a daunting challenge: an increased volume of electronic and paper-based data collected during process development and manufacturing....


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