Overview


Text should include: Step by Step, Checklist, SOPs, Tips

Analysis workflow


The analysis workflow describes the bigger picture of analysis and the different steps to undertake when analyzing a topic, and how each step builds upon the findings of the previous ones. Analysis needs to be planned and designed. The analysis workflow has four steps, each of which has several guiding questions and possible outputs.

Four steps of analysis workflow

  1. Design
  2. Acquire
  3. Analyse (explore, describe, explain, interpret, prescribe)
  4. Communicate


Analysis Spectrum and the HPC 


(provide details on the process for each phase/product of the HPC)

Exploratory

Focus: identify if data required is available (credible, reliable, timely) and structure it in a way that best suit the requirement and identifies information gaps. 

  1. Familiarise yourself with the data and check its characteristics - How relevant, sufficient and reliable is the data?
  2. Clean & enrich your data to ensure it is as good as it gets - How clean and ready for analysis is the data? Do I have enough data?
  3. Are potential signals hidden in the data?
  4. Sort, aggregate and disaggregate and define suitable taxonomy of categories. Code & refine your data – Can the data be better prepared for queries?
  5. What are the main results so far?

Examples of analysis findings

Descriptive:




Explanatory:

 



Interpretive: 




Anticipatory: 




Prescriptive:


Process


Text should include: Step by Step, Checklist, SOPs, Tips


Outputs/Resources


Text should include Essential Reading, Additional Readings, Templates. Examples, Tutorials



Guidance