As mentioned in the big data life cycle, the data products that result from developing a big data product are in most of the cases some of the following −
Machine learning implementation − This could be a classification algorithm, a regression model or a segmentation model.
Recommender system − The objective is to develop a system that recommends choices based on user behavior. Netflix is the characteristic example of this data product, where based on the ratings of users, other movies are recommended.
Dashboard − Business normally needs tools to visualize aggregated data. A dashboard is a graphical mechanism to make this data accessible.
Ad-Hoc analysis − Normally business areas have questions, hypotheses or myths that can be answered doing ad-hoc analysis with data.