Using Power BI for collecting, analyzing, and visualizing data? Easily include process performance metrics in Power BI reports and dashboards with PQ Systems’ PI VIZpack.
Businesses that are devoted to continuous improvement can leverage the power of control charts with the flexibility of Power BI to increase consistency and drive quality outcomes. No need to develop custom visuals when PI VIZpack offers all the critical process improvement visuals right out of the box.
Histograms with critical indices such as Cpk, Ppk, and "expected defects per million" help determine if your process is capable of producing output within specification limits.
Free Trial BuyThis short video shows the importance of process improvement chart visuals for Microsoft Power BI.
Process control charts are visual management tools for recognizing and reacting to process variation. Control charts enable your business to see which processes are in control and which processes are exhibiting special cause variation.
Control charts help predict the performance of processes and serve as the cornerstone of Statistical Process Control (SPC). Control chart and other improvement chart visuals indicate areas in which opportunities for improvement exist.
Control charts are graphs that study how a process will change over time. Control charts always have a central line for the average, and control limits that are represented by lines for both the upper control limit and the lower control limit.
The control limits are lines on a control chart used as a basis for judging whether variation in data on a chart is due to special or common causes. They are important in helping your organization react to statistically significant signals in the data and avoid over controlling or under controlling. Control limits are calculated in such a way as to anticipate the common cause variation in a system. They are calculated on the basis of approximately three standard deviations from the average of the data.
Control charts are often used in pairs. The top chart monitors an average of distribution data, while the bottom chart monitors range and width of distribution. They are highly effective tools to study how a process or system changes over time. Control charts discriminate special from common causes of variation, to help you understand how to improve a process. Control charts are useful for understanding all types of data collected over time and help you take timely action when problems occur.
Control charts should be used in your business to:
To successfully use control chart visuals for improvement, follow these steps:
PQ Systems has more than three decades of experience in the quality improvement industry, so we know the problems and challenges organizations face. Our solutions make quality improvement more efficient, more effective, and less complicated for our customers.
Our team of experienced quality experts work with clients to implement solutions that meet their unique needs. We provide flexible software, quality improvement consultation and training, and unrivaled customer service.