Too many quality professionals are clinging to the way things have always been done. There’s some sort of taboo about doing things quickly and easily. What are the differences between 20th and 21st Century Quality? Watch and find out:
Latest "Data Mining" Posts
A recent TED video showed that Big Data is a $122 Billion Dollar business, but 73% of projects failed to return a profit. That’s a one-sigma performance. You don’t need big data. You can get big profits from small data.
“Our evolutionary instincts sometimes lead us to see patterns when there are none there. People have been doing this all the time – finding patterns in random noise.” – Tomaso Poggio
People just need a way to separate the Signal from the Noise.
Here are some insights from the book by Nate Silver.
People often get stuck before the “Analyze” phase of DMAIC because of ugly data.
You can’t analyze data until it is in the right format for analysis.
In this data about medications that might affect patient falls, we have to:
- Transpose the data
- Use Excel’s Text-to-column feature to split the meds into separate cells
- Use QI Macros UnStack Columns tool to get all of the meds into a single column
- Use QI Macros Data Mining Wizard to create a PivotTable and Pareto chart of medications involved in patient falls
You can watch the video below:
I have found that people often get stuck before the Analyze phase of DMAIC because of ugly data. You can’t analyze data until it is in the right format for analysis.
In this example of patient falls data, we have to:
- Transpose the data
- Use PivotTables to summarize the data
- Use a c Chart to plot the data.
The March-April 2017 issue of HBR has a survey of 1770 managers in 14 countries. When asked to identify the top 3 skills needed, the managers identified two that are important to quality:
- 31% of managers said Data Analysis and Interpretation
- 20% said Quality Management and Standards
QI Macros New Data Mining Wizard can dramatically accelerate anyone’s ability to analyze and interpret data.
Quality management is process management and statistical process control (SPC). QI Macros can do that too.
People skills were another key focus: social networking, people development, coaching and collaboration.
Learn more about people here: https://www.qimacros.com/knowware-articles/teamwork/
Most data is preprocessed or overprocessed. All the nutrients that you need to solve problems are gone.
Solution: Go on a Raw Data Diet
Nobody wants to read your spreadsheet! No matter how hard you try to make it pretty, create great labels or whatever, the only person who can read your spreadsheet is a CFO or Excel spreadsheet geek. And the Excel geek is going to tell you 10 ways to make it prettier.
The purpose of data is to provide insights for action, not just report past performance.
How Do I Know That Most Excel Users Try to Make Their Spreadsheets Readable By People?
According to Renu Davi, Sr. Program Manager for Excel, Microsoft tracks how people use Excel. The vast majority of the 650 million users use it for lists and reports.