Business Analytics Service Provider

we are the popular Business Analytics Service provider in Tirupati, Andhra Pradesh, India. Exploring data to find new patterns and relationships SSS's Data Mining services follow standard practices of classification, clustering, regression, pattern recognition, and all other associated rules of data mining. This in turn allows you to solve complex business problems by revealing patterns which cannot be usually detected using standard OLAP and query tools.

Statistical Quantitative AnalysisL
Explaining why a certain result occurred Statistical analysis involves collecting and scrutinizing every data sample in a set of items from which samples can be drawn. Statistical analysis can be broken down into five discrete steps, as follows:

Describe the nature of the data to be analysed.
Explore the relation of the data to the underlying population.
Create a model to summarize understanding of how the data relates to the underlying population.
Prove (or disprove) the validity of the model.
Employ predictive analytics to run scenarios that will help guide future actions.

The goal of statistical analysis is to identify trends. A retail business, for example, might use statistical analysis to find patterns in unstructured and semi-structured customer data that can be used to create a more positive customer experience and increase sales.

Multivariate Testing:
Experimenting to test previous decisions The purpose of multivariate testing is to simultaneously gather information about multiple variables and then conduct an analysis of the data to determine which recipe results in the best performance.
Multivariate data can be analysed by using either parametric or non-parametric analysis methods.