CHARTrunner® Control Chart Summary Saves Time, Enhances Analysis
FOR IMMEDIATE RELEASE
For more information, contact:
| Beth Savage |
| 800-777-3020 |
| [email protected] |
Dayton, Ohio (April 18, 2007) – A new release of CHARTrunner, a stand-alone charting tool for general statistical process control (SPC) charting, makes it easy to find and display only the most problematic charts among many charts being monitored.
CHARTrunner saves time by sifting through and thinking about countless charts, then focusing attention on the few that present problems or opportunities.
Also featured in this release is the Cpk Advisor. Since capability analysis can be confusing, this feature provides statistics, interpretation, and guidance for a capability study within the application, in an easy-to-read text format, customized for specific data, with the click of a button.
Other features of the newest release include t-charts and g-charts, according to PQ Systems development manager Steve Daum. These charts facilitate analysis of rare events. Some events do not occur frequently but nonetheless have a significant impact on quality. For example, a hospital may rarely have an outbreak of a particular infection. While charting this data with traditional control charts may not provide useful information, t-charts and g-charts specialize in this situation. These charts allow users to visualize this unusual data in a familiar, easy-to-understand, control chart format.
CHARTrunner, developed by statisticians at PQ Systems, Inc., creators of the best-selling SQCpack®, reads data that resides in Access, Excel, SQL Server, Oracle, and virtually all other data sources and instantly creates SPC charts, making data immediately available for analysis and supporting Six Sigma efforts.
In CHARTrunner, charts are always fresh, since CHARTrunner links to the most current data. The program facilitates data mining, to bring specific business processes into focus, and since data resides in its familiar native format, the user avoids complex importing or repetitive data entry.
For more information about CHARTrunner, visit the CHARTrunner web site, http://www.chartrunner.com.
