Marketing and Advertising
[wtm_use_case_cats] For any business, the most integral step is to undertake proper and fruitful marketing with the aim of spreading awareness and for generating beneficial brand loyalty. This is yet another area in which big data technologies are put to use. Several useful insights are offered by the technology regarding when and where the brand […]
Customer Sentiment Analytics
[wtm_use_case_cats] Sentiment analysis is analyzing the customer’s inclination, emotions, and feelings towards a product, its brand, and personal reviews regarding that. In Sentiment, analysis data is gathered from different social media platforms. This data is interpreted, analyzed, and visualized to get insights out of it. This may help industries to know “What Customer Wants?”This helps […]
Preventive Food Fraud – Counterfeit Modeling
[wtm_use_case_cats] To assure quality and prevent false labeling, developing a method of “fingerprinting” product samples to indicate their original source is useful. Advanced data analytics can be used to discriminate between real products and fake replicates, such as verifying that a product comes from a certain region or has a certain claimed composition. For example, […]
Predictive Statistical Process Control
[wtm_use_case_cats] Predictive statistical process control of a batch process, such as for a batch-based fermentation process like that used for brewing and distilling. Real-time data monitoring combined with a prediction engine allows operators to make adjustments to batch productions as deviations occur. The model creates predictions based on past behavior and process parameters of previous […]
Predicting Shelf- Life
[wtm_use_case_cats] Over time, quality characteristics of a product can change, or degrade. We can use an example from the pharma industry in which the shelf-life of tablets are predicted. This can be compared, for example, to the potency of whiskey as it matures over time. It’s possible to use several batch samples to understand which […]
Critical Quality Control
[wtm_use_case_cats] In the brewing industry, the alcohol content of a beverage is a critical quality parameter that is routinely analyzed. Data analytics can be used to determine whether new (less expensive and less time consuming) methods of quality analysis are as effective as traditional methods. In one case, using multivariate Orthogonal Partial Least Squares (OPLS) […]
Malt yield prediction and optimization
[wtm_use_case_cats] Malt is one of the most important beer ingredients—and also one of the most expensive. That’s why brewers try to maximize the amount of flavor and sugar extracted from a given amount of malt. The amount that can be extracted from a given malt depends on a number of factors, including things like the […]
Faster Handling of Filling Machine Failure
[wtm_use_case_cats] Although predictive maintenance can reduce the frequency with which machines break down, they can’t completely eliminate failures—at least not when it comes to bottle-filling machines in breweries. These machines consist of seven complex sub-machines that often experience breakdowns multiple times per day. However, these failures aren’t the kind of thing that can be predicted […]
Predict Maintenance
[wtm_use_case_cats] Predictive maintenance is an extremely common use case in manufacturing, and beer brewing is no exception. In the beverage industry, one of the most frequent failure points is rotating motors in bottling facilities. Because the machines are always under a heavy workload, they’re particularly prone to breakdowns. Increased friction in the machine—often an early […]
Predict and Maximize Filter Lifetime
[wtm_use_case_cats] Beer is typically filtered using diatomaceous earth, a chalky substance made up of fossilized shells. However, the filtration process is prone to failure because of the large number of variables that affect the filters, they sometimes clog unexpectedly. When the filter clogs, it stops the filtration process, everything needs to be cleaned, possibly replace […]