Why is data important in impact measurement?
Data is crucial in impact measurement as it provides evidence to assess the effectiveness of programs and initiatives.
Can you give examples of data types used in impact measurement?
Sure! Common data types include quantitative data like surveys and financial reports, and qualitative data like interviews and case studies.
How can organizations collect this data effectively?
Organizations can collect data through various methods such as online surveys, focus groups, and data analytics tools.
What challenges do organizations face in data collection?
Challenges include data privacy concerns, resource limitations, and ensuring data accuracy and reliability.
How can data improve decision-making in organizations?
Data enhances decision-making by providing insights that guide strategy, optimize resource allocation, and measure outcomes.
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