Prospects for improving information and analytical support for government decision-making

Over the past decade, the computing systems have experienced significant technological advancements, which led to continuously evolving and expansion of the software applications for the automation of government decision-making process including policy analysis process. In this regard, the traditional ministerial information analysis techniques received a digital assistant - an enhanced decision support system that supposed to maximize the functionality and performance of every organization unit where it is used. The adoption of information systems for decision support on levels of government management may transform the government from the classical administration tradition to the culture of intelligent public administration, a class of control techniques that use various artificial intelligence computing approaches like neural networks at all levels of public administration and the policy development process. The author emphasizes the efficiency of use of DSS on every stage of the political cycle, that may increase the quality of decisions and policies by allowing to make changes and discarding non-effective options before the policy is made. Moreover, the new generation DSS for public management is expected to overcome another edge, it is time to learn how to operationalize the ideas received from the information and policy analysis in order to offer a problem solution instead of just giving various ideas to choose. Next stage for DSS is making policy decisions.