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" ... Predictive Forecasting: We have popular seasonal brands in the Allergy and Cold and Flu category. The business use case is to have a predictive model that predicts how the upcoming season for allergy or cold and flu would shape up in different regions, and when are the predicted peaks and troughs. The advantage of this information is to inform consumers on our brand.com website, improve our national and regional media delivery and inform retailers of seasonal activation timing (distribution, stock up, display and secondary support). ... "
" ... The category was initially introduced with the hopes to introduce tequila to a wider audience. ... "
" ... The last category of data mover in the article is strictly interactive data movement controlled by end users. In this case data is stored in institutional storage and personal computing devices. This is the type of data movement most familiar to many people but is not appropriate for most automatically generated data. End users download or send data to a “data repository” which is operated and managed by professional IT people. Numerous solutions for such data movement, both free and commercial, have been available since the 1990’s. This approach works best with data files of up to moderate size as larger files generally take longer to transfer and thus could have glitches that make moving data difficult. ... "
" ... “With the category growing at an alarming rate, we're even having to really look at our model and say, is this the model that’s going to be the best and keep us up?” says Tibbott, who described the now $1 billion market for alternative meats a “jetstream.” ... "