Quicktrials.com Website Review

There is a lot of data generated when conducting agricultural field trials for seed tests, crop protocol yield comparisons or product benchmarks. It is often labour intensive to record, collect, aggregate and an*lyse all of that data. Trial coordinators create paper surveys or software forms with all the required parameters and then distribute these to dispersed field staff When the trial is completed all of that data has to be collected centrally, aggregated in a consistent way, transformed and an*lysed so that the findings and reports can be generated. It’s often a time consuming, error prone and frustrating experience especially when some of the results are incomplete or when the parameters of a trial need to be changed. We created QuickTrials to QuickTrials takes a new approach, using the latest technologies, whereby data is captured on mobile phones (or tablets) and then an*lysed centrally in near real-time. The software is ideally suited for plant breeding, research, product trials or any situation where accurate data needs to be captured in the field and later an*lysed. Trials can be conducted for any kind of crop (Eg. wheat, cotton, soya, etc) or seed varieties. Whatever the type of trial being conducted there is no need to manually collect, aggregate and transform the data in order to an*lyse the results. This saves a lot of time and management can now view trial data as it’s being collected in the field, allowing mistakes or trends to be spotted much earlier. App can be installed on iOS and Android mobile phones and tablet Field staff only see the trials they are authorised to participate in Data can be captured offline and synced to the cloud whenever a network connection available Powerful an*lytics tools can be used without manual transformation API’s can be used to integrate trial data with other systems QuickTrials utilises the latest technologies to provide a modern, effective solution that saves both time and money. We use a multi-dimensional hypercube for data storage which allows for powerful an*lysis. Data collection also becomes simpler and more