Much has been discussed about data analysis in Institutional and Governmental Relations (RIG) activities and how technology has helped this work and changed the lobbyist's daily activities. These new data analysis tools also brought the need, on the part of the RIG professional, to have the ability to manipulate this information.
It is worth noting that the data, by itself, does not provide information. It is necessary to carry out an organization, interpretation and relationship with other sources of data / information to generate inputs that can bring insights and knowledge to be used in a strategy.
Thus, data analysis activities become essential for the RIG professional, as well as the knowledge of tools that allow the execution of these tasks, such as Excel, Power BI, Tableu, Python, R, etc. This software allows data manipulation, in particular, published by government agencies (Chamber of Deputies, Federal Senate and the Federal Government's Open Data Portal, for example).
These tools allow you to manipulate data (in small or large volumes), automate routine tasks and create dashboards with indicators, facilitating routines and customizing analyzes according to a specific objective. From the publication / dissemination of data, the RIG professional is able to answer questions such as: What is the level of legislative production? How is the dialogue between parliamentarians and authorities of the Executive Branch? How likely is a bill to pass? Who is the most active parliamentarian on environmental issues? What is the profile of Brazilian exports?
The Public Administration has been directing actions towards practices that are based on data and evidence, such as, for example, the publications of the “Practical Guide to Evaluation Ex Ante ” and the “Practical Assessment Guide Ex post", which aim to assist the process of harmonizing and coordinating public policy assessments in the Federal Executive Branch. In addition, the Federal Government recently regulated the Regulatory Impact (AIR) and Regulatory Result (ARR) Analysis, establishing the criteria and methodologies that should be used to identify the impacts and risks of regulation.
These measures show how the government is improving the public policy process, placing evidence-based information at the center of the debate. With the increase of the fiscal restriction and the dispute for public resources, the movement of evidence-based policy it can guarantee the continuity or completion of government programs. In this sense, the quality of the data must be essential to compose the evaluations, and must be stimulated - including - by the government itself, guaranteeing the transparency and security of public data in a timely manner. The quality of the data added to the rigidity of the evaluation methodology reduces the risk of error in the analysis, improving the efficiency of the application of public resources.
Even if the Government Relations professional does not need to become a data analyst, it is evident that knowledge about the methods and instruments helps to set up scenarios, develop strategies and insert the data into a context in a more agile way, when compared to a data analyst with no experience in RIG activities. These activities become even more relevant when inserted in discussions about the formulation of public policies, since the result of the analysis will shape the planning of public policy, affecting the intended final result.
By Walysson Barros