During internal inspections, cooperatives collect numerous primary data on paper. Data collected on paper are often forgotten, lost, hard to read, not standardised and outdated as smallholders’ groups evolve rapidly. Many projects are implemented but it remains very difficult to assess the impact/need for people. Below are some practical examples:
Digitalisation of the cooperative enabling them to gather any data regarding all cooperative activities.
By analysing the data, cooperatives can address all the previous situations described above.
With digitalised data, cooperatives have a better insight of their communities. Audits are facilitated with automatic reports for farmers and mistakes are limited by reducing human intervention with one entry per data set (could result in cost efficiency, quicker and remote auditing).
Three cooperatives involved in the project: IBA (cocoa in Togo), ATW group of farmers (Cocoa in Uganda) and Copavgon (Cashew in IVC, Bondoukou). PCs (Purchasing Clerks), Lead farmers (trained and coaching all members) as well as responsible staff of the cooperatives, are trained to collect, organise, and analyse the data.
NGO (in Uganda, we work with Swisscontact for registration, training, and certification support) and any potential funds and/or customers willing to support cooperatives with implementation costs.
And of course, the software tool provider. In our case, we want the coop to own their own license and to choose their preferred system to be used in all cooperative level.
Eventually, we are willing to replicate this activity with other partner cooperatives.
The next step could lead to better understanding of farms (better yields, CO2 reduction or retention leading to new premiums). Assessed experience could create better models of agroforestry by analysing higher quality data thanks to frequency of the internal inspections and their analysis on the long run.