Data analysis is the process of analysing the gathered data in various formats. As the data are available in different forms and scattered over carious sources of information. The data analysis helps to clean and transform all the data into a consistent form so that the researcher can evaluate the information in order to draw the final conclusion.

Hereby, data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing the conclusions, and supporting decision-making. Hence, problem solving and decision making practice are the major purpose of data analysis, for which the researchers and data miners are trying to conduct in depth critical analysis and evaluate the gathered information efficiently.

In the recent era of globalisation, there are diverse issues faced by the organisations, educational institutions, NGO and government entities, where the market researchers, educational professionals and data miners are focusing on gathering appropriate data and information for further analysis in order to support the organisations or entities for better decision making practice.

Hereby, the process of SPSS data analysis is being utilised by diverse people across the world, where it is possible to evaluate the findings in a systematic way and draw the final conclusion. Through data analysis, it is possible to improve the understanding of the respondents and researchers, evaluate the findings, acknowledging social science and real life activities for better solutions and influencing future research. Hereby, data analysis is beneficial for the people in different professional field to gather authentic and valid data and information and choose appropriate methods of evaluating the findings critically.

Data analysis in this regard is useful in structuring the findings from different sources of the data as well as it helps in breaking macro problems into micro problems. For acquiring meaningful insights from the large data set, the researchers are using data analysis methods so that they can explore further solutions to the specific issues in the society. It also helps in keeping the human bias away from the research conclusion, with the SPSS help of proper statistical treatment.

There are two types of data analysis, one of qualitative and other is quantitative. For the secondary data, the qualitative method is widely used. The data gathered through case study, grounded theory, and interview, open ended questionnaire survey and literature review are mainly analysed through the qualitative data analysis method. The method includes grounded theory, case study analysis and thematic analysis, in which the researchers can evaluate the findings critically by applying existing theories and concept. It is hereby effective to get deep insight and analyse the existing information successfully for drawing final conclusion.

On the other hand, the quantitative data analysis process is also used widely for analysing the primary data gathered through survey, feedback of the participants and market research. The statistical model SPSS, descriptive statistics, graphs and figures and carts are utilised to represent the findings and analyse it critically. It is also beneficial fop the researchers to analyse trends and ensure future predictions through critical analysis.

The statistical analysis provides a scope to develop forecast, analysing existing trend, and evaluating numeric data along with critically exploring the relationship between the variables. It is hereby widely used in different field including market research, business, education, healthcare and others.

Tracking and analysing the data are increasingly important in the business, sports, medicines, politics and many other fields. In the recent years, there is high influence of big data analytics through which the organisations and the researchers are strong to handle huge data set with different variables in order to conduct critical analysis.

The statistical application and software systems are utilised for conducting data analysis ad this provides a scope to the researchers to improve own understanding, evaluate the findings and draw the final conclusion to publish the report. Hence, critical analysis of the data and information is important to progress in the research and provide appropriate information for making further decision.

Through data analysis, it is possible to acquire new skill, develop problem solving and decision making skill, which are mandatory in both academic and professional career. Hence, one can improve own abilities in analysing the data and information for contributing positively in the academic and professional career. The data analysis is utilised widely in business and educational activities as well as health care and market research to analyse the existing activities, conduct research on a specific subject matter and forecast future activities critically.

It is also beneficial to optimise individual performance and maximize own abilities to construct good report on the basis of findings and data analysis. Deep insights about the market activities and existing factors influencing the activities are possible to evaluate through data analysis, where the researchers can conduct social science research and develop good decision for further achievements in terms of business or educational research.