AT06 Big Data: Technology Trend Analysis in Biostimulants and Biopesticides

Have a look at our PowerPoint Introduction and Brochure describing deliverables, differentiators and case studies. Eight case studies can also be reviewed.

Objective

The objective of this project was to assist a client with multivariate cluster analysis of large datasets to investigate technology trends in biopesticides and biostimulants. 

Method

A proprietary platform was used to analyse large datasets (“big data”) and reveal trends in technology developments in biopesticides and biosimulants. 

The cluster analysis used advanced NLP technologies coupled with Artificial Intelligence algorithms to provide insights into the dataset.

The output of this analysis required interpretation and refinement in order to optimise the quality of insights gained. 

CPL used its expertise to define keyword lists and to interpret the clusters which the software produced. 

Output

CPL’s experts in biopesticides and biostimulants were able to assist in the identification of technology trends and underlying drivers, potential gaps and opportunities in specific areas through the analysis of these data. 

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