Data Analytics Framework

Data Analytics Framework Using our standard Data Analysis Framework our clinical database software can be further developed for advanced Data-Analytics allowing us to obtain, integrate and analyse complex data sets from multiple data sources. We can design tour software applications to perform quite advance data analysis and presents this information as complex studies. This allows examination of complex data interactions within biological systems and to model and discover emergent properties within genetic, tissue and patient data. Data Analysis Our Data Analysis service covers both qualitative and quantitative approaches to data analysis. Data collection is a precursor to data analysis, and data analysis is closely linked to data visualization and data modeling with the goal of highlighting useful information, suggesting conclusions, and supporting decision making. In statistical applications, some people divide data analysis into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data and CDA on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical or structural models for predictive forecasting or classification.