[TIS] allows you to establish Client Server Solutions with data nodes and complex operations. It is really easy to produce graphics to show for instance the number of working hours per week, in order to gain sometimes surprising insight and thus new options for solutions to problems.
Let’s have a look at the following example: Intensive discussions within a company. The employees complain: “We have to work overtime because we don’t have enough staff. Because we don’t have enough staff, we cannot fulfil all our tasks – we thus need more staff.” But the management argues: “Even if we have employed more staff, overtime hasn’t decreased.“ A typical case for using [tis] to review time-related data, to visualise it and to understand. In a first step of the analyis with [tis], the quality of scheduling has to be checked.
With [TIS] it does not take more than an hour or two to set-up the necessary tools and make a tailor-made controlling system available. The first step is to check, how many employees were present at 12 am and how many hours overtime this means. The curve shows, that there is not a big difference between days when 11 employees are present and days when 15 employees are there. This leads to the conclusions that the number of employees present during the day can not be the main cause for the registered overtime.
A visualisation covering several days makes apparent that, surprisingly, there is no correlation between overtime and employees present. Hence, the main result of the analysis is, that overtime is due to the fact, that at the end of the day, i.e. after normal office hours, work remains to be done. The conclusion: The office hours are wrong, not the number of employees.