Examples of KPM's
To visualize how some common KPM's can be charted and analyzed in InetSoft's application look at the examples to the left.
The Marketing Department of any products or services company needs to track leads as one of its KPMs. This screenshot shows the weekly count of the number of new leads generated. In addition, thanks to mutli-dimensional charting of the source of leads by colors in the vertical bars, the reasons for a KPM's increase or decrease can be seen. The checkboxes to the right provide simple point-and-click access to filtering to explore further the reasons for change, or for slicing and dicing different campaigns, so that multiple KPMs can be tracked in a single "report."
Other marketing KPMs that could be tracked are churn, conversion rates, customer value, customer profitability, CPL, CPA, and CPGA. Common sales KPMs that are tracked are time to close, win rates, average deal size, sales actuals vs forecast, and quota attainment percentage.
Supply Chain KPMs >include turnover, efficiency, out-of-stock performance, shrinkage rates, number of weeks of supply, and average order lead time.
Popular HR KPMs include average number of training hours per employee, staff turnover, average training costs per employee, and HR FTE to total FTE ratio.
No function has more KPMs than Finance, and examples include cost of goods sold (COGS), operating margin, net change in cash, revenue per employee, earnings before interest and taxes (EBIT), debtor days, and forecast accuracy of budget.
In operations and supports centers run by information technology departments, common measures are percentage of actual uptime (in hours) of equipment relative to the total numbers of planned uptime (in hours), mean-time between failure (MTBF), which is the average time between equipment failures over a given period i.e. the average time a device will function before failing, and first-call resolution rate, which is the percentage of customer issues that were solved by the first phone call.
Manufacturers track average time to produce, defect rates, output per man hour, accidents per month, and machine downtime.