Consumer interaction on Internet is establishing a new digital channel between the brands and their audiences. Exabytes of data are created everyday as information based on data models that keep growing in volume and variety. Predictive consumer scoring models have achieved significant lifts in conversion rates. Using the statistical techniques and other consumer web pioneers, personalized Predicate Models can be built to identify the potential of consumers. The dynamic model to discuss in this paper offers help in the challenge of managing data processing. We will mention the basics of this study, on how to capture and collect data, build connections and identify data types based on sample analysis. Next, we explain in details how to use Expert Systems to improve Cloud Computing. Finally, we expose some use-cases