The recent conference at the Center for Development Research and Foresight brought together experts to discuss how data governance and mining can improve the country's budgeting process. The conference was part of an ongoing series aimed at improving budget transparency and efficiency.

Alireza Hasanzadeh, a professor at Tarbiat Modares University, emphasized the importance of data quality and governance in budgeting. He stressed the need for accurate and comprehensive data to inform decision-making, from problem identification to monitoring solutions. He also highlighted the importance of data governance, which involves ensuring that data is collected, stored, and used effectively.

Mehdi Hosseini, from the Audit Court of Iran, discussed the role of data mining in financial auditing. He explained how data mining can help identify trends and patterns in data, which can be used to make better budgeting decisions. He also noted that data mining can be used to prevent fraud and waste.

Mohammad Hossein Ghadirian, from the Ministry of Economy, emphasized the need to move towards data-driven budgeting. He argued that data mining can help extract valuable insights from financial data, which can improve the accuracy and efficiency of the budgeting process. He also stressed the importance of data quality, noting that poor quality data can lead to poor decision-making.

The meeting is part of a larger effort to improve Iran's budgeting process. The series of meetings, which will continue until later this year, is aimed at bringing together experts from different sectors to discuss and share best practices. By improving data governance and mining, Iran hopes to make its budgeting process more transparent, efficient, and effective.