Despite the widespread use of data, significant challenges persist. About half of the respondents highlighted two major obstacles: the lack of timely data and insufficiently detailed information. For national and local organizations, limited analysis capabilities and a shortage of proper analytical tools pose substantial barriers. The reliability and availability of data also raises concerns. A troubling 30% of respondents questioned the reliability of available data, while 33% reported facing situations where necessary data was simply nonexistent. These findings point to critical gaps in the data ecosystem, emphasizing the urgent need for enhanced practices and resources across all stages of the data lifecycle.
Challenges extend to monitoring and evaluation (M&E) processes as well. Limited access to reliable data hinders effective accountability efforts across the sector. However, the nature of these challenges varies by organization type. National and local groups primarily struggle with insufficient capacity and training in M&E methodologies. International organizations, on the other hand, face difficulties in engaging effectively with diverse stakeholders, including local communities and authorities. This gap in experiences suggests that increased collaboration and knowledge sharing among partners could yield significant benefits. Interestingly, risk management emerged as a top choice for future M&E training topics, reflecting the complex and volatile nature of the operating environment in Afghanistan.
Despite these challenges, the survey reveals a strong desire for improvement. An overwhelming 96% of respondents expressed interest in enhancing their data literacy skills, even though most rated their current abilities as good. While data collection methods are familiar to many, there's keen interest in developing stronger data analysis techniques. Improving data quality and validation competencies also emerged as priority areas, aligning with the organizational gaps identified earlier. These findings underscore a widespread recognition of data literacy's importance and its potential to address current challenges at both individual and organizational levels.
