Impact of Data Warehousing in Decision Making: Pre and Post Covid-19

World environment which is now post Covid-19 give users to access their data, but it does not solve all the problems of user. Every user has started using data online approximately more than 90%. So users must have privilege to access the data but do not guarantee the integrity of the data and adequacy of response time. So in this Pandemic situation Huge Data warehousing and Big data solve the above problems and provide technology which enables the user or decision maker to process the huge amount of data in a short amount of time. With the help of big data warehousing, user extracts the data as knowledge based in a real time. Common people, Students, and many companies want to use that data for other own purposes and has no other solution and has to depend on data only. So data mining techniques are evolved for extracting new knowledge from data warehouse. Data warehousing and provides the right foundation for building decision support. Different system tools which help to measure the progressing speed of data usage now has become organization’s goal and it now is the duty for ISP (Internet Service Provider) to help companies to reach towards their goal.
Data warehousing and provide a technology that enables the user or decision-maker in the corporate sector, education sector, government sector etc to process the huge amount of data and make decisions which are useful for whole organisation. This paper will help to explore the overview, advantages and disadvantages of data warehousing with suitable diagrams. In this paper, roles and responsibilities of organizational members of data warehousing are also discussed. As a concluding point, how “Date Warehouses” can be used in different areas for different users, how these data help in decision making and allow the data manager to perform more accurate, substantive and consistent analysis.