The Douglass Index, Keeping Good Data from Going to Waste

Posted by: meikah | 21 July 2010 | 3:15 am

Every day, we are faced with data. The greater challenge is how to evaluate the data and make them work for us.

According to iSixSigma article,

The Douglass Index allows practitioners to convert data with poor-to-marginal repeatability and reproducibility to a marginal process capability (Cp) level.

Read more…

Filed under: Data, Data Analysis, Data Quality, Six Sigma

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Quality Quiz from PQ Systems e-Line

Posted by: meikah | 10 March 2010 | 6:46 pm

PQ Systems Quality E-Line

PQ Systems through it’s Quality eline newsletter brings us another quality quiz by Professor Leary.

For this month’s quiz, and a chance to win a copy of the newly-released collection of Quality Quiz Classics, go to Quality Quiz. Submit your response by February 26 to be entered in the drawing.

Start reading the quiz.

Last month we met Quinn Quip, quality manager for Quince’s Quality Quiche in Quincy. In a market survey, Quinn wanted to determine the percent of outlets—restaurants, hotels, bakeries, and cafes, as well as private residents—in Quincy who sell or consume the quiche that his company makes. He took many samples of a (sample) size of 100. He found that on average 50 out of the 100 sampled use Quince’s Quality Quiche, and reported to his boss that half the town—give or take 2 percent—are customers.


Winners of last month’s quiz and a copy of the Quality Quiz Classics DVD are:

Dan Frederick (Andersen Corporation)
Nayna Modi (Sentara Health Systems)
Walter Prowse (BAE Systems)
Breeda M Worthington (NHS UK)
and Donna Yeakel (Greene Tweed Co. Inc.)


Filed under: Data, Data Quality, PQ Systems eLine, Quality Quiz, Six Sigma

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On Measurement

Posted by: meikah | 24 February 2010 | 3:41 am

A large part of Six Sigma is dealing with data and making sense of them. That is why statistics plays a major role in any Six Sigma implementation.

As they say, you cannot manage what you cannot measure. But an article on BusinessWeek warns everyone that measuring data should be treated with utmost care. It cites Einstein saying, “Not everything that can be counted counts, and not everything that counts can be counted.” Thus, measurement has its right time and place.

Companies should guard against overmeasuring not only data but using metrics in processes. The article cites four problems with overemphasizing measurement’s role in management.

  1. Degradation by over-measurement
  2. Dehumanization
  3. A false sense of trust
  4. Increased cost and risk

Read more…

Filed under: Data, Data Analysis, Data Quality, Metrics, Six Sigma

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The Data Aspect in Six Sigma

Posted by: meikah | 25 June 2009 | 6:55 pm

Data is important to your Six Sigma initiative. Thus, if you are thinking of going into Six Sigma, you better learn how to gather and interpret data at the very least.

Oracle put out a white paper titled, Increasing Return on Investment with Data Services.

As the number of applications and platforms generating data increases, so does an organization’s need to give users access to that data through a unified, standard system compatible with multiple interfaces. Oracle Data Service Integrator is a powerful solution that allows organizations to build data services that unify business processes and data for easier use and improved customer service.

Read the white paper now!

Filed under: Data, Data Analysis, Data Quality, Six Sigma, Six Sigma References

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Innovation of the Week: Stream Computing from IBM

Posted by: meikah | 22 May 2009 | 3:46 am
sixsig innovation of the week
IBM is introducing its hot innovation: stream computing software.
The software enables massive amounts of data to be analyzed in real time. The new software is called IBM System S.Big Blue is making System S trial code available at no cost to help clients better understand the software’s capabilities and how they can take advantage of it for their business. This trial code includes developer tools, adapters and software to test applications.
Filed under: Data, Data Analysis, Data Quality, IBM, Innovation, Innovation Update

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SixSig Looks at Some Important Data on Thanksgiving Day

Posted by: meikah | 27 November 2008 | 12:25 am

Six Sigma is a data-driven initiative, and so if you are to apply it to any process, you must start with some data.

Over at ThomasNet, they shared Thanksgiving by the Numbers. Figures that will matter to mostly service industries, e.g. hospitality, transportation, retail, among others.



  • 41 Million – The number of Americans anticipated to travel more than 50 miles from home this Thanksgiving weekend [Source: AAA]
  • 33.2 Million – Holiday travelers expected to go via car, a 1.2 percent decrease from 2007 [Source: AAA]
  • $1.89 – National average price of gasoline per gallon as of Nov. 24 [Source: Energy Information Administration]


  • 34% – The percentage of shoppers hitting the stores on “Black Friday” — the day after Thanksgiving [Source: Maritz, Inc.]
  • $875 – Amount to be spent on gifts by 33 percent of Black Friday shoppers; 17 percent plan to spend over $1,000 [Source: Maritz, Inc.]
  • 1.2% – Expected sales gain on Black Friday, down 7.1 percentage points from last year’s 8.3 percent sales increase [Source: BDO Seidman, LLP]

Read more…

To my friends in the U.S., Happy Thanksgiving!

Filed under: Data, Data Analysis, Data Quality, Events/Announcements, SixSig, Thanksgiving Day

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IT Data for Six Sigma

Posted by: meikah | 7 May 2008 | 10:48 pm

IT data and Six SigmaDealing with data is part and parcel of any operation. But how to treat the data in your hands is another question. That is the usual dilemma that CIOs and senior IT team leaders face.

What’s ironic even, is that CIOs and senior IT team leaders often find themselves handling a lot of data, yet they seldom treat these information as something that can help them optimize their organizations effectively. That is because they don’t have the tools that help them sift through and find the relevant data. This is where Six Sigma comes in.

Thus, in the recent Six Sigma in IT conference, this question was asked: “What should we be measuring for our IT organization?”

To know the answers, read IT Measures That Matter.

Information Week

*Photo from Stock.Xchng

Filed under: Data, Data Analysis, Data Quality, IT, Metrics, Six Sigma, Software/Technology


The SixSig Roundup

Posted by: meikah | 7 February 2008 | 9:11 pm

sixHere’s another serving of the SixSig roundup. Data is very important in Six Sigma, and so the focus of this roundup is data, data management, and data quality.
The ASQ blog needs your thoughts on sizing up the government: For those of us who are schooled in the methods and values of quality and organizational improvement (e.g., Deming, Kaizen, SPC, Lean Six Sigma, etc.), what would the process of assessing government agency missions look like? Are there any best practice examples around the world that our Government Division and other readers know about? What can the Government Division do in the days and weeks ahead, to think about the work of the next Administration, and offer the benefit of our knowledge and experience?

Informatica Data Quality Blog says that you can’t achieve customer data integration without data quality. CDI helps you to address data quality issues, such as accuracy, timeliness, and completeness.

Over at BNET, managers are encouraged to apply evidence-based management. People can make good decisions when armed with complete data.

Joyce Norris-Montanari of Dataflux asks “do you do data?” Doing Data includes any process, model, database, architecture, data stewardship issue, data governance issue, or metadata repositories that include data.

Filed under: Data, Data Quality, Six Sigma

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