Step 2: Quantifying the performance of users for a data series.
The meaning of quantifying is to 'measure the quantity of something', What is needed is one number to measure the performance.
Observation is the means of capturing data and placing data into a KPI category to identify the performance and get a rating.
Kademi uses aggregating methods to calculate the KPI records.
The aggregating methods are:
Sum – the total amount records resulting from the addition of two or more numbers, amounts, or items.
Count – determine the total number of records
average – a number expressing the central or typical value in a set of data records, in particular the mode, the value separating the higher half of a data sample, a population, or a probability distribution, from the lower half , which is calculated by dividing the sum of the values in the set by their number
Minimum – the least or smallest amount or quantity possible, attainable, or required to record data
At least one value provided – the KPI value will be 1 if there is a value otherwise there will be no values
1st value provided, by period from date – the 1st value in the series will be recorded
Last value provided, by period from date – the last value in the series will be recorded.
Step 3: Categorise their performance
The 1st question to ask is, how do we do this, what do you compare that quantified performance number too.
we use a function in each KPI called Levels, its similar to a target, therefore we set the level that each user or organisation is required to obtain,
their level can be obtained daily, weekly, monthly, quarterly and yearly.
Step 4: Rewarding performances to users
With the reward system, you can view the users or organisations that perform excellently and award them with incentives which help them perform better,
you can incentives them with points or some custom reward.