With [TIS], company-specific analysis and forecasting tools can be easily assembled using the internet. What can and should be assembled depends on company-specific circumstances.

In a retail company the first question that came up was whether sales increased or decreased in the course of a month and whether the sales curve of a month had an influence on turnover. ximes thus developed a visualisation, which allowed a comparison of the turnover by showing the developments in each month over time.
Another interesting question: What is the correlation between staffing levels and real turnover? This interplay of staffing level and turnover, staffing level and performance, staffing level and overtime is interesting for a variety of different cases. Are there any correlations – and if yes, which ones? The concrete design of an analyis is different for each company but it must take the specific circumstances into account and must produce a good overview. One possible visualisation could present the sales in different weeks at specific times of day and on each day of the week in the form of a map. An extremely interesting perspective which makes peaks perfectly visible.

In cooperation with the company interflex, ximes developed a comprehensive, highly adaptable forecasting and campaignplanning tool for call centres which helps with a variety of definitions and aspects in the planning phase. Similar solutions can be implemented for a variety of sectors, e.g. the retail business. As explained above, the optimisation potentials or target workforce requirements must be calculated specifically for each company and project. A task for which [TIS] – an extremely flexible and powerful analysis and forecasting tool – fits like a glove.


With [TIS] you can create your own tailor-made applications. This task becomes really simple thanks to libraries which are made available by experts. The standard library contains a host of elements for importing, converting, restructuring and evaluating data. This library is described and simultanoeusly amended on the ximes-Wiki-Website. The result is an overview of what becomes feasible with the data and this library.

The library is structured according to the main steps of the process: Data import, standard methods for restructuring data according to templates. Transferring data into standard formats. How do I build time algorithms, how do I convert values such as the structure of tables, how do I select valid data fields, how do I recode, export, evaluate? The library provides a variety of templates which may be interesting for your analysis.
Each expert can contribute to the exchange of information and interesting solutions by providing or using the knowledge on Wiki and the templates in the template library or by developping his/her own libraries. Everybody can thus help improve the functionality of the software tool for himself/herself and all other users.

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