Session 6: Utilization of Government Data for Ascertaining Impact and Recommendations

Session 6: Utilization of Government Data for Ascertaining Impact and Recommendations: Harnessing Data Governance for Informed Policy Recommendations

The session underscored the critical importance of quality data throughout Monitoring and Evaluation (M&E) processes, highlighting its increasing role in senior administrative decision-making. Industry experts envision a future where data and AI synergize to support daily decision-making activities. Proposing a decentralized data governance model, akin to successful private sector practices, the session aimed to standardize data governance across states and the central government. Emphasizing the documentation of DGQI reports on M/D best practices, the panel advocated for setting benchmarks and promoting consistency in data quality governance across ministries. Furthermore, the session stressed the necessity of enhanced collaboration between industry, academia, and government, showcasing DGQI as a competitive and collaborative platform for assessing and improving data governance through workshops, capacity building, and stakeholder engagement.

Conclusion:

The panel discussion proved successful, with active participation from both participants and the audience. The focal point was the DGQI framework, with a focus on having a uniform index for data governance and conducting awareness workshops. Discussions were fruitful and extensive, emphasizing the importance of data. Overall, the engagement fostered meaningful dialogue and offered valuable insights into enhancing the DGQI framework's effectiveness and inclusivity. The key takeaway that Data is the 1 st step in the M&E ecosystem was an important actionable item for the participants going forth.