The following scenarios highlight the benefits of acquiring a dataset from the BigDataGrapes data marketplace.
Scenario 1: Get the interconnected dataset that you need to build prediction models
Download a structured BigDataGrapes dataset with historical fraud cases reported for wine and use it to identify trends, study correlations between incidents and origin of the wine and apply your prediction models to predict events in the grapevine supply chain. The dataset acquired by the marketplace combines unstructured data that is published by numerous National Authorities. You can use this dataset to build your models without spending time and resources to align data from all the different open data sources.
Scenario 2: Submit your unstructured data and get predictions
Upload your laboratory testing results for pesticides identified in grapes and combine them with millions of test results that the big data platform has. By submitting the data to the big data platform, your dataset will gain value since it will be transformed to an open and structured format, it will be enriched and combined with existing data for grapes and the BigDataGrapes prediction models will be used to produce a forecast of the results for the next 12 months.
Scenario 3: Combine different types of data to test hypothesis of the grapevine industry
The BigDataGrapes marketplace includes datasets for numerous data types that are semantically enriched and aligned. This means that you can combine the IoT dataset, with the laboratory testing results dataset and a food safety incidents dataset in order to test hypothesis about the correlation between different factors and stages of the grapevine supply chain.