Stasca Soﬅware Stasca Desktop The basic product offers the complete spectrum of classical stas- cal methods (including SPC), data preparaon processes, visuali- zaons and reporng. Analyses and data preparaon can be struc- tured, automated and reused by means of the Stasca project interface. In addion to the extensive import and export opons for data and graphics, seamless calculaons from R or Python en- vironments can be integrated. Stasca Analyst The advanced soluon for your enterprise environment. This product contains all the features of Stasca Desktop. In addion, it offers special ETL processes (Extract, Transform, Load) for merging different data sources. Thanks to the Rules Builder funcon, data analyses can be automacally selected according to freely definable business rules and analysis paths can be bran- ched. Stasca Modeler Your choice for the implementaon of Predicve Analycs and data mining. Compared to Stasca Analyst, Stasca Mo- deler offers the complete range of algorithms for supervised learning with models and ensembles. Machine learning, neuro- nal networks, deep learning are included in this product. The “weight-of-evidence” module offers addional opons for crea- ng meaningful predicve models for the financial market. Stasca Data Scienst The complete analycal package for the perfect embedding into your company-wide data analysis environment. The Stasca Data Scienst offers addional connecvity. Integrates marketplaces such as Azure ML, Algorithmia and Aperva. Analysis possibilies are extended by text mining or methods for process opmizaon. Modelling for other applicaons, such as PMML, Teradata, Java, Java MapReduce, C, C ++, C #, stored SQL procedure, SQL user-de- fined funcon, or even SAS. Funkon Desktop Analyst Modeler Data Scienst Basal stascs & graphics Higher stascs Industrial stascs Report tables Visualizaon Designer Mulvariate process stascs Method Comparison Shelf-Life Esmaon ETL Rules Builder PI Connector Variance Esmaon Weight of Evidence Data Mining Deployment Process Opmizaon Text Mining In-Database Analycs This product can be addionally licensed as an add-on. In-Database Analycs is available in combinaon with the Stasca Server.

StatSoft Statistica SoftwareSuite 2019 EN · Statistica Software Statistica Desktop The basic product offers the complete spectrum of classical statis-tical methods (including SPC),

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Page 1: StatSoft Statistica SoftwareSuite 2019 EN · Statistica Software Statistica Desktop The basic product offers the complete spectrum of classical statis-tical methods (including SPC),

Statistica SoftwareStatistica DesktopThe basic product offers the complete spectrum of classical statis-tical methods (including SPC), data preparation processes, visuali-zations and reporting. Analyses and data preparation can be struc-tured, automated and reused by means of the Statistica project interface. In addition to the extensive import and export options for data and graphics, seamless calculations from R or Python en-vironments can be integrated.

Statistica AnalystThe advanced solution for your enterprise environment. This product contains all the features of Statistica Desktop. In addi-tion, it offers special ETL processes (Extract, Transform, Load) for merging different data sources. Thanks to the Rules Builder function, data analyses can be automatically selected according to freely definable business rules and analysis paths can be bran-ched.

Statistica ModelerYour choice for the implementation of Predictive Analytics and data mining. Compared to Statistica Analyst, Statistica Mo-deler offers the complete range of algorithms for supervised learning with models and ensembles. Machine learning, neuro-nal networks, deep learning are included in this product. The “weight-of-evidence” module offers additional options for crea-ting meaningful predictive models for the financial market.

Statistica Data ScientistThe complete analytical package for the perfect embedding into your company-wide data analysis environment. The Statistica Data Scientist offers additional connectivity. Integrates marketplaces such as Azure ML, Algorithmia and Apertiva. Analysis possibilities are extended by text mining or methods for process optimization. Modelling for other applications, such as PMML, Teradata, Java, Java MapReduce, C, C ++, C #, stored SQL procedure, SQL user-de-fined function, or even SAS.

Funktion Desktop Analyst Modeler Data Scientist

Basal statistics & graphics

Higher statistics

Industrial statistics

Report tables

Visualization Designer

Multivariate process statistics

Method Comparison

Shelf-Life Estimation

ETL

Rules Builder

PI Connector