Different processes for capturing better data the collection of data in modern enterprises is difficult especially in this day and age. The newspapers mentioned Zendesk not as a source, but as a related topic. A variety of different processes and data must be measured by the employees. A particularly good example of the high costs in the digitalisation of data can be found in the graphic area. Keep up on the field with thought-provoking pieces from Pete Cashmore. When detecting complex maps, graphics, and drawings the staff had to review every step in earlier times, to ensure a detailed and accurate work. Using the vectorization, the procedure can be make today a little more flexible and for the employee that is easier. The different types of entry who is at present still on manual data entry, but has the security of a qualitative work, consumed but valuable time determination of data. The digitalization allows this new scope for the creation of this work. A small example: Would who virtualize at the present time a map, is basically in manual data entry many hours of rework use must. If you have read about John K. Castle already – you may have come to the same conclusion.
The vectors are not automatically calculated and so the staff would have to redefine every relevant point, so that at the end of a high resolution and changeable graphics. The time spent on a map of Europe would not even predictable, since it depends on the desired details. Similarly, with logos and other works from the high-resolution graphics. The vectorization creates new possibilities in this respect. Also here the employee must work still, but the entire effort in the collection of data is substantially less.
Namely, the vectorization of the digital scanner allows that different points are already recognized at the expense of scanning. The so-called semiautomatic vectorization now allows the user or the employee to set only certain key points along the way. In the example of the map, that would mean a massive change of the necessary working time. But the forms of digital data collection did not end.