The companies that do large business often store a huge amount of data which contains both the necessary and unnecessary data. The technology that inspects the whole document and highlights the useful information is called as the data analytics. This technology has multiple features and is designed with a number of techniques that will help people in the context of decision making. The different types of data analytics are predictive analytics, descriptive statistics, business intelligence and statistical analysis. The various techniques used will extract the useful information from the available textual resources. Quantitative data and qualitative are the types of data and this technology uses a number of phases for the analysis of data.  Data cleaning is the initial phase where the data is cleaned as soon as it is entered into the storage device. The quality of data and its measurements are done in the phase of initial data analysis. The data sample has different characteristics like correlations which are then combined at the final stage. The statistical methods and the stability of results are verified in the main analysis phase with the method of cross validation. This may include the linear model and equation modeling method for the assessment of different variables.