Use Cases

perSimplex brings unique and valuable information to the user on the real data natural structure, which is determined by the mean of their allocation to various characteristic clusters. To the users, the knowledge on such allocation allows, generally, the appropriate decision making based on undistorted learning of the individual clusters.


12000 curves on metalware sales during 52 weeks of the year

…regardless whether the numeric data represent the company’s customers, bank transactions, web data or movement of goods on the stock.


2500 curves on patients whose health was monitored by the mean of some medical instrument – 24 measured values

The input data shall not necessarily express only the dynamics change in time, i.e. the situation when the individual columns identify the daily hours, month days or year weeks. The data may include data which is not homogeneous, e.g. sex, age, qualification, income or number of children. The only thing needed is the sufficient numerical representation of the data and then the use of perSimplex. Then, the cluster eneration criterion becomes multidimensional. This allows the dealing with tasks related to the factor analysis.


17000 curves – replies of citizens to questions on their dwelling standard (Education, Age, Status, Subtenants)


140000 curves on the activity of the Internet provider’s customers (Mon, Tue, Wed, Thu, Fri, Sat, Sun)

The universality of perSimplex consists in no content restrictions applied for the processed data. Solely the user is to decide what type of data he needs to process.



140000 curves on the activity of the Internet users during 24 hours of the day

It is crucial only to prepare the input data so that their graphic representation should correspond to the user’s intent.


16000 curves on the business performance of the company’s customers at the end of the monitored period – 12 months

This product name comes from the Latin „per-simplex”, which could be translated loosely as „through simplicity”. The product idea is simple as well as the data preparation, product control and the interpretation of the result.


24000 curves on the buyer’s behaviour during market-day