Being well-acquainted with different development platforms and the possibilities they afford, Zfort Group experts can make a preliminary analysis of your project with a view to determining which of the existing technologies fits best and should be applied. Data Analysis Covers 3 Major Phases: 1. Data preparation (filtering and putting the data together for analysis): covers logging data in, checking it for accuracy, modifying data, developing and documenting a database structure which incorporates multiple measures. 2. Descriptive Statistics (describing the data): utilized to describe the fundamental features of data in a study, with the help of which plain summaries about sample and measures are provided. They shape a foundation of practically every quantitative data analysis along with plain graphics analysis. 3. Inferential Statistics (testing models and hypotheses): studies issues, models and hypotheses. In many situations, the outputs from inferential statistics go further instant data. For example, inferential statistics is used to indicate what most people think on a given subject. This type of statistics is also used for making judgments of the probability where an observed difference between groups is a dependable one or one that might have happened circumstantially within this study. Therefore, we utilized inferential statistics to draw conclusions from our data to more broad conditions. To describe what’s happening in the data, descriptive statistics is used. In our daily work Zfort Group experts implement all the necessary knowledge for data research and analysis in order to achieve only the best results for our customers’ projects. Importantly, we have an abundance of experience in conducting this type of analysis for a number of e-commerce solutions with rich functionality using various platforms and technologies.