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Data Analysis, Reporting, & Statistical Model Building

Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information , suggesting conclusions, and supporting decision making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes. Business intelligence covers data analysis that relies heavily on aggregation, focusing on business information.
Data Analysis is a practice in which raw data is ordered and organized so that useful information can be extracted from it. The process of organizing and thinking about data is key to understanding what the data does and does not contain. G2C Partners offers an integrated value driven service mix of Outsourced Data Analysis Services to companies worldwide with a focus on fact based decision making and transforming businesses to succeed under any circumstance. From simple cross tabs to the application of complex multivariate statistical techniques, our Data Analysis Outsourcing Services is backed by our firm understanding of Industry and business life cycles. G2C Partners offers clients a combination of rich Industry experience and a committed group of intellectuals who are passionate about statistics and focus on filtering the last spec of intelligence from raw data through its advanced Data Analysis services. We do understand data with its logical conclusions driven by a “process” but we endeavor to go beyond to provide Innovative strategies that help companies stand out The science of statistics has developed a wide range of techniques to determine whether the fluctuations, changes, effects, etc. observed in the data can be attributed to some deterministic component or are due to chance variation alone. We recommend and apply the most appropriate analysis methods in order to extract the parameters of interest from your data. Our data analysts have years of experience in the following areas:

  • Multivariate Analysis Techniques
  • Analysis of Data from Designed Experiments
  • Categorical Data Analysis
  • Analysis of Clustered or Longitudinal Data
  • Survival Analysis
  • Statistical Methods in Clinical Chemistry and Laboratory Medicine
  • Methods for Quantitative Synthesis in Medicine
  • Genetic Analysis
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