Service Packages
EWSQVM
BayMiner EWS is a decision support system especially developed for project business.

BayMiner EWS is intended for small and mid size manufacturers, offering repetitively similar projects in hundreds or thousands per year to their clients. BayMiner enables you to avoid booking unprofitable orders. BayMiner identifies co-occurrences of several risk factors, which you cannot do with conventional calculation methods such as spreadsheets and classic statistics. Opposite to the conventional risk assessment tools BayMiner EWS uses a simple traffic light solution to communicate the appropriate recommendations to the user

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BayMiner QVM is a new quality analysis method developed for manufacturers of complex products.

BayMiner QVM is intended for manufacturers with mid size volumes in the hundreds or thousands per year. BayMiner identifies co-occurrences of several problem factors, which you cannot easily do with conventional calculation methods such as spreadsheets and classic statistics. BayMiner enables you to find the root causes to quality problems. Opposite to conventional tools BayMiner QVM groups the problem cases and visualizes them and their difference to other product groups with an easy-to-understand profile presentation.


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Customer testimonies:

As a result we found that some of our products were too high priced and of course some too low priced. This immediately lead to reprising of certain products says Vesa Pirinen, development manager at YIT Construction. Read more.

Of all the analysis packages I looked at, BayMiner is the only one that can do rapid high quality co-occurence analysis of tens or even hundreds of variables. Professor Jaro Karppinen, senior lecturer in Physical Medicine and Rehabilitation, Oulu University. Read more.

"We have already avoided some disaster projects, but have still much work to do. But we are confident we are on the right track" says project manager Frej Weurlander.

Other Case Stories:


Try out our easy EWS demo. 

BayMiner is able to predict match results surprisingly well without any specific football expertise, just by automatically collecting rather indirectly related variables.

 
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