Benchmarks on Demand uses some key terminology to communicate the benchmarks. The terminology is explained here.
The metric ID is the unique number that represents the measure.
A measure is a means to determine a performance metric value; it consists of descriptive information about the measure such as its name as well as instructions on how to determine the performance value.
The measure category is a means to group related measures. Typical measure categories include:
||Measures related to the cost of a process or function, and the effective management of those costs.
||Measures related to the cycle time necessary to execute the specific process or function.
||Measures related to the efficiency of the process, in terms of the output relative to the various inputs.
||Measures related to the performance of the individuals executing the process.
||Measures that don't quite fit into other categories; additional information that can help understand the characteristics of performance.
Low, Mid, High, and Sample Size
These columns represent the descriptive statistics for the data set of the measure for the selected peer group. The "Low", "Mid", and "High" terms refer to the quartile boundaries within the data set, specifically the 25th, 50th, and 75th percentile values. A value at the "mid" level means that 50% of the values in the sample lie below the stated value, and 50% of the values in the sample lie above the stated value. Note that due to the directionality of some measures, you may notice that values seem "flipped". You may adjust the labels on the descriptive statistics as you see fit. Also note that the values in the "Low", "Mid", and "High" fields are not correlated with specific performance outcomes. They simply are descriptions of the underlying data set.
The sample size refers to the number of observations APQC has collected and validated for this specific performance measure and peer group combination.
APQC offers four peer types: All Companies, Region, Revenue, and Industry.
Each peer type groups organizations with similar characteristics, base don the peer group you choose. For example, if you choose "North America and South America" in the Region peer type, then the sample will be filtered to include only organizations in North and South America.