Nick Verstegen helps StatSoft’s customers to benefit from data science (esp. machine learning and automation) for over ten years. This includes know-how-transfer through trainings and development of solutions based on individual requirements.
Six Sigma Statistica

Six Sigma in Statistica 

What is „Six Sig­ma“? Six Sig­ma is a struc­tu­red, data-ori­en­­ted method to redu­ce defects, was­te and qua­li­ty issues of any kind in pro­duc­tion, ser­vices, manage­ment and fur­ther busi­ness acti­vi­ties.  Six Sig­ma is a trade­mark of Moto­ro­la, that shaped the term in the eight­ies. The method is based on a com­bi­na­ti­on of estab­lished tech­ni­ques of qua­li­ty assu­rance, […]

Machine Learning Statistica

Machine Learning in Statistica 

Machi­ne Lear­ning descri­bes a coll­ec­tion of algo­rith­ms that learn from data. This is useful to gain insights and to make pre­dic­tions. The­se algo­rith­ms can detect rela­ti­ons that were pre­vious­ly unknown to the users. Machi­ne Lear­ning con­ta­ins many dif­fe­rent algo­rith­ms, older and more recent ones, as well as com­plex and simp­le ones. Brief histo­ry les­son: Many of […]

Pharma Statistica

Statistica in regulated Industries (like Pharma) 

Many com­pa­nies in regu­la­ted indus­tries such as phar­maceu­ti­cal manu­fac­tu­ring or life-sci­en­ces are using Sta­tis­ti­ca suc­cessful­ly in the domains of qua­li­ty assu­rance & con­trol and pro­cess moni­to­ring. 
We as Stat­Soft would in fact cla­im that the­se are the are­as whe­re Sta­tis­ti­ca deli­vers the hig­hest return on invest­ment. Why is that?