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.
Filed under: Data, Data Analysis, Data Quality, Six Sigma
Posted by: meikah | 10 March 2010 | 6:46 pm
Start reading the quiz.
Last month we met Quinn Quip, quality manager for Quinceâ€™s Quality Quiche in Quincy. In a market survey, Quinn wanted to determine the percent of outletsâ€”restaurants, hotels, bakeries, and cafes, as well as private residentsâ€”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 Quinceâ€™s Quality Quiche, and reported to his boss that half the townâ€”give or take 2 percentâ€”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
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.
- Degradation by over-measurement
- A false sense of trust
- Increased cost and risk
Filed under: Data, Data Analysis, Data Quality, Metrics, 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 organizationâ€™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.
Filed under: Data, Data Analysis, Data Quality, Six Sigma, Six Sigma References
Posted by: meikah | 22 May 2009 | 3:46 am
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
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.
- 271 Million – The preliminary estimate of turkeys raised in the U.S. in 2008, with 49 million expected to come from Minnesota [Source: USDA National Agricultural Statistics Service, U.S. Census Bureau]
- 46 Million – The number of turkeys predicted to be eaten at Thanksgiving, with the average turkey weighing 15 lbs [Source: National Turkey Federation]
- 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” â€” 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]
To my friends in the U.S., Happy Thanksgiving!
Filed under: Data, Data Analysis, Data Quality, Events/Announcements, SixSig, Thanksgiving Day
Posted by: meikah | 7 May 2008 | 10:48 pm
Dealing 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.
*Photo from Stock.Xchng
Filed under: Data, Data Analysis, Data Quality, IT, Metrics, Six Sigma, Software/Technology
Posted by: meikah | 7 February 2008 | 9:11 pm
Here’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.
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.