- Quantitative
- Aggregated results
- Longitudinal Data Analysis - individual
- Longitudinal Data Analysis - Cohort
- Comparison between multiple locations
- Qualitative
- Sentimental Analysis
- Emotional Analysis
- Keyword Analysis
What are your data analysis requirements? | ||
Y/N | Data Analysis Requirements | Details |
Measure progress over the period of time | Weekly, Monthly, Quarterly, Annually | |
Compare Baseline, Midline, and Exit | ||
Compare results versus targets | ||
Compare results by location | Countries, States, Regions, Branches | |
Compare results by program, project, or investment | ||
Aggregate results accross multiple locations | ||
Aggregate results accross multiple programs, projects, or investments | ||
Assign scores based on the beneficiary responses on the survey | For example, in a Likert scale | |
Perform additional calcuations with the raw data | For example, survey date - date of birth to get the beneficiary's age | |
Perform calcualations between metrics | For example, total students enrolled - total students that graduated to get the number of students that dropped-out or failed | |
Analyze results by cohort | ||
Analyze results by individual stakeholders |