Big data is a term that describes the large volume of data, both structured and unstructured data that inundates a business on daily basis. For most organisations, big data is the reality of doing business and if it is managed and analysed well, it can deliver powerful insights. Big data can be analysed statistically for insights that lead to better decisions and strategic business moves. There are different software used nowadays in organisations based on different innovative, trusted technology and passionate connection to move the world forward by transforming data into intelligence.
A lot of organisations work with data in the business environment, using statistical, mathematical, and business analytics skills. Accordingly, in this assignment, you need to show how organisations can get benefit from big data analysis and business statistical analysis. So, you need to criticise and evaluate the factors that affect the successful and effective use and implementation of different data analytics tools and statistical analysis in business such as (SAS and SPSS).
You need to refer to and use different examples and cases in your assignment and justify your choices. You should also discuss how useful any statistical or data analytics tools such as (SAS & SPSS) have been used in your group work. Furthermore, you can highlight the advantages and disadvantages of the enablers and barriers regarding the use of data analytics and business statistical tools in organisations. The report must include a critical evaluation supported by theory and reflective comments based on what you have learned in this module.