Our Philosophy Busitech was founded on the simple philosophy that in order for a company to improve its process, it must first understand that process. This philosophy is at the core of all our products, from Quality Window to our charting utility for Microsoft Excel®, QWXL 3. The philosophy holds true no matter what level of understanding you wish to obtain. For many companies, time, budget and staffing constraints prevent a complete and exhaustive examination of their data. Still, even at the most basic of levels there is an acknowledgement that process data needs to be collected so that trends and other unique events can be observed. Busitech has helped companies collect their data through the simple transfer of log sheet functions to the computer, advanced automated data collection through PLC’s, handheld data collection and now through common office software products such as Microsoft Excel®. The methods may change over time, but our philosophy remains the same: data must be collected and stored in an efficient, accurate and objective manner. Simply collecting and observing the data is just the tip of the iceberg. For the past decade Busitech has worked with some of the most progressive manufacturing experts around the world to apply advanced statistical examination to ever increasing data populations. Our contribution has been to make these advanced calculations accessible and meaningful, through simple and easy to understand program interfaces. Our reporting options close the circle by presenting these findings in intuitive and attractive full colour charts so that all members of an organization can understand the results. The following chart is a representation of Busitech’s philosophy as it applies to the examination of data. Some insight on our approach Are there any trends, upsets? Is there stability or consistency? When did the trend or upset occur? Is there a correlation with other data? Does other data explain the trends and upsets? Did all the upsets occur at the same time? Has there been any improvement/disimprovement? Is the improvement/disimprovement statistically significant? How large is the improvement/disimprovement? Where will we be in five years? Will we achieve our goals? Do we need to increase our rate of improvement?