Problem of unemployment

Problem of unemployment

The stakeholders in society make policies towards ensuring the safety and prosperity of the community. This policymaking process has long since been advanced using Information and technology tools. The advancements in technology offer the community with a lot of solutions to its problems. This is because it provides a better view and understanding of the issues that exist in society today. This includes impacting the way policies are made in the community. It is essential to note that this involves presenting, analyzing, and predicting potential effective strategies, including emerging trends in Information and Technology. Before understanding policymaking, it is essential to understand the problems that exist in society today. This includes unemployment, pollution, safety, criminality, and health. This paper will focus on unemployment and how information and technology help stakeholders make better decisions towards eliminating this problem. The information and technology used to be studied here are big data tools. Big data involves extensive sets of information that can be analyzed and studies to reveal essential relationships or comparisons between phenomena. In this case, the data would be analyzed toward unemployment.

Unemployment is a problem that many communities experience. Unemployment is the lack of a job opportunity. This leads to the rise of many other issues, including poverty and lack of education. This is because a person cannot be able to afford these things due to unemployment. This has also been known to cause homelessness. The community stakeholders include essential people that are tasked with the decision to ensure the community’s growth and development. One way they can ensure this is by eliminating the problem of unemployment and offering equal opportunities for everyone. This can be done using big data analytics and tools.

The first way in which big data may be used to solve the societal problem of unemployment is through analysis and interpretation. Stakeholders can use this information to effectively analyze the market and determine the relationship between different variables. For example, a lack of enough skill set is associated with unemployment. As such, the stakeholders can implement policies such as training opportunities for people to help solve this issue. Big data helps in the practical analysis of data. The information obtained is, therefore, accurate and reliable. Furthermore, this takes into consideration large amounts of data. Every option and possibility is explored to help come out with a more precise decision.

In conclusion, big data helps in solving the problem of unemployment through interpretation and predictions. One importance of big data is that it helps interpret and predict data. It allows stakeholders to analyze the data to come up with possible explanations and predictions which can be useful for society. For example, the number of employees needed at a particular time will reduce as a result of machines replacing human resources. The stakeholders can come up with strategies to ensure that machines and humans co-exist. This involves coming up with strategies that do not include the layover of employees and the increase in unemployed people in the community.