BIG DATA SERVICES
Our specialized services are related to BIG Data & Predictive Analysis based on Statistics, especially for Finance/Retail and identify’ either generic or niche services
We write Web Services and automated the inflow of data and the process and flow on the Cloud by using existing Web Services or we write a series of Web Services, each reflecting a Statistical Analysis procedure or method. Some of the techniques have human/brain interpretation which is mapped for result, using cognitive Computing.
The Application of these techniques are in various domains, like CAPM modeling of Stock prices, Sub-prime lending risks, predicting/comparing Sales Data for Retail in geographical domains, archeological studies on Bone Density, Call Center customer profiling, Etc.
We use Algorithms and process flows to analyze the Data real time and based on one/two/more Samples for the Population.
We estimate the Hypothesis of the mean values expected or the difference of mean values expected using Test Statistics and map it against Critical Values and calculate a Confidence Interval. This permits to do Predictive Analysis if to Accept or Do Not Accept the Hypothesis and accept the Alternatives. There are several techniques to estimate the Estimated or Expected results (based on Correlations) based on one/two/more Sample data and it will depend on the nature of data, like if it is Quantitative or Qualitative as well as if the data is Independent or Paired. Further there are techniques to test to see if we are analyzing tolerance levels on the same data.
Further, analysis incorporates regression, and extends the study by introducing dummy variables to the categorical predictors and is extended to several groups. The Predicted Results (based on Trend Lines) is further assessed for Residual Error for Independence and Variance and map via transformation in case the Trend Line is not straight.
We write Web Services and automated the inflow of data and the process and flow on the Cloud by using existing Web Services or we write a series of Web Services, each reflecting a Statistical Analysis procedure or method. Some of the techniques have human/brain interpretation which is mapped for result, using cognitive Computing.
The Application of these techniques are in various domains, like CAPM modeling of Stock prices, Sub-prime lending risks, predicting/comparing Sales Data for Retail in geographical domains, archeological studies on Bone Density, Call Center customer profiling, Etc.
We use Algorithms and process flows to analyze the Data real time and based on one/two/more Samples for the Population.
We estimate the Hypothesis of the mean values expected or the difference of mean values expected using Test Statistics and map it against Critical Values and calculate a Confidence Interval. This permits to do Predictive Analysis if to Accept or Do Not Accept the Hypothesis and accept the Alternatives. There are several techniques to estimate the Estimated or Expected results (based on Correlations) based on one/two/more Sample data and it will depend on the nature of data, like if it is Quantitative or Qualitative as well as if the data is Independent or Paired. Further there are techniques to test to see if we are analyzing tolerance levels on the same data.
Further, analysis incorporates regression, and extends the study by introducing dummy variables to the categorical predictors and is extended to several groups. The Predicted Results (based on Trend Lines) is further assessed for Residual Error for Independence and Variance and map via transformation in case the Trend Line is not straight.