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Six principles of data analysis specific to NIPN (2/5)

Principle 2: Simple, clear and country-owned data analyses are more likely to have an impact on policy makers

  • “In-house” or “country-owned” data analyses can have a higher impact on policy makers than sophisticated data analyses carried out by international organisations.
  • Simple descriptive analyses are sometimes more telling than complex analyses because the message is clear and the data can be presented in a simple and visual way. A simple bar chart (Figure 1) is more easily understood and is more likely to provide actionable recommendations than a regression table (Figure 2).

However, simple does not mean quick and dirty. What is done must be done correctly.

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Figure 1. Example of Ghana MICS 2011

(source: REACH)

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Figure 2. Example of Niger causal analysis regression model

(source: FEWS NET)

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