Systèmes d’information sur les marchés agricoles en Afrique : Analyse et présentation des données


Cette fiche fait partie d'une série de fiches d'information destinées aux personnes concevant et mettant en œuvre des systèmes d'information sur les marchés en Afrique.

A market information system gathers large amounts of data and then adds value to it. It does this in several ways: 

  • It combines data from various sources to reveal insights into the market. For example, it might produce a map of agro-dealers that locates dealer profiles (gathered by the market information system itself) on a map (provided by Google maps, Bing or other providers).
  • It analyses and interprets the data to draw conclusions. For example, it may take data on weather and production to predict a grain shortage in a particular area. Users can then use the information to decide whether to buy, sell or transport their grain.
  • It converts data useful for short-term commercial decisions into the information of use for long-term planning. Price information basically has two functions for farmers and others:
    • It can help them decide whether to sell, when and where.
    • Expressed as a time series, it can help them decide what to plant and when.
  • It converts the data into a form that is easy to understand. Examples: it summarizes price observations from several traders into an average price for a particular market; it converts time-series data into user-friendly graphs and charts.
  • It makes the information available to users by disseminating it through various channels.

This sheet covers the first four of these activities. See the separate sheets on Collecting data and Choosing the right technology for ideas on how to gather information, and Disseminating information to your clients for how to make information available.

Sheets in this series

  1. Introduction to agricultural market information systems
  2. Developing an agricultural market information system
  3. Identifying clients and planning services
  4. Deciding on your business model
  5. Choosing the right technology
  6. Choosing and working with partners
  7. Collecting data
  8. Data analysis and packaging
  9. Disseminating information to your clients
  10. Marketing your market information service
  11. Data: Ethical and legal issues
  12. Role of donors and NGOs