The ultimate aim of Data Science is about extracting knowledge and solving business problems through analytical engineering by designing analytical solutions using data engineering and, mathematical algorithms and visualization tools.  While our other two products, namely, sLogicEngine and sLogicAnalyser help customers preparing and analyzing, our sLogicPreditor provides a container for performing predictive analysis.  Using sound analytical engineering techniques, customers can perform 

  •       Descriptive analysis – what happened
  •       Diagnostic analysis – why did happened
  •       Predictive analysis – what will happen
  •       Prescriptive analysis – what should happen

 sLogicPredictor has many built-in visualization tools for viewing

data and performing predictive analysis by generating charts,

bubble diagrams, geo-spatial diagrams, histograms, data clustering,

data associations, time-elapsed animations using  intuitive graphical

interface.  Customers can further diagnose data by using other

techniques such as decision trees, clustering, classification and

content analysis.  Another important aspect of the data analysis

is to make predictions using the models.  Such predictions are made

possible in the tool through many built-in statistical and non-statistical

algorithms such as neural networks, decision trees, random forests,

genetic algorithms and other simulation techniques.