As we become an increasingly data-driven society, the need for individuals well equipped in artificial intelligence and data science becomes crucial to solve various problems, which makes it an important aspect of public administration.
Public administration is an umbrella term that encompasses a wide range of duties and functions and aims to achieve the goals envisioned by public policy or law. A career in public administration requires problem-solving and problem-solving skills coupled with a good knowledge of governance procedures. Functions such as maintaining law and order, government social activities, meeting infrastructure needs are examples of public administration that use data to make an informed decision.
Data science involves the preservation and analysis of large amounts of information in order to infer patterns, trends, and potential opportunities that can be used to conceptualize effective and innovative solutions to a particular problem. Policymakers have also realized the revolutionary impact of “datafication”. Therefore, the time to deploy predictive analytics to reduce crime rates, tackle traffic jams and detect corruption is not far away.
The government has encouraged digitization by formulating the draft IoT policy and launching several initiatives such as e-Sanjeevani, PM SVANidhi program, Diksha, Aarogya Setu, etc. for public administrators. However, there is a data skills gap in the industry which could be due to the assumption that data science and AI involve computer and statistical skills. Currently there are several courses that can be used to eliminate this problem.
Data scientists and those familiar with AI are likely to possess qualities such as analytical thinking, effective data visualization, decision-making skills, and the ability to innovate through hands-on training in business tools. new age such as machine learning, deep learning, MATLAB, Python, Tableau, etc. Coupled with knowledge about public policies, this can lead to the creation of better and pragmatic public administration strategies. Essentially, a public sector analyst would be required to:
Collect data: Various issues facing the public may often not surface unless careful examination of the data collected is carried out by a policy analyst. This exercise also reveals the reasons for the ineffectiveness of a policy.
Suggest better policies: After careful inspection and detection of a problem, current or potential, suitable solutions can be recommended. Mapping counterfactuals using predictive analytics will also help prepare for an emergency.
Evaluate the results of existing policies: The policy suggested by an analyst is kept under review for a period of time in order to assess its effectiveness and to draw a comparative analysis against the projections made before the implementation of the new policy. In addition, cost-benefit analyzes, surveys and more data from focus groups are brought together for a qualitative approach.
Inform stakeholders: Share relevant information with the public, decision-makers, the press, universities, etc.
Finally, the demand for data analysts in public administration to provide services such as administration, financial services, human resource management, knowledge management and strategic leadership will certainly continue to increase due to the fact that “data is the new oil”.
The writer is the founder and CEO of SkillEnable