General

The Statistica Story 

We, the com­pa­ny Stat­Soft and the soft­ware Sta­tis­ti­ca are clo­se­ly con­nec­ted and can look back at a long and exci­ting histo­ry.   It all began with the release of CSS (Com­ple­te Sta­tis­ti­ca Sys­tem) by Stat­Soft Incor­po­ra­ted in 1986, fol­lo­wed by a first DOS ver­si­on – now under the name STATISTICA in 1991. In the­se years the­re […]

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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, […]

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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 […]

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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?   Sta­tis­ti­ca offers the ana­ly­ti­cal func­tion­a­li­ty that is […]

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How to Unlock the Power of Manufacturing Data with Machine Learning in Alteryx  

In the dyna­mic land­scape of manu­fac­tu­ring, enter­pri­ses are facing mul­ti­ple chal­lenges that can impact their bot­tom line and com­pe­ti­ti­ve­ness. From sup­p­ly chain dis­rup­ti­ons to qua­li­ty con­trol issues and sus­taina­bi­li­ty con­cerns, the com­ple­xi­ties are vast. Howe­ver, amidst the­se chal­lenges lies a bea­con of hope—data ana­ly­tics and machi­ne lear­ning. Lever­aging the­se powerful tools, par­ti­cu­lar­ly through plat­forms like […]