IT for IT: e.g. using log analytics to gain better insights into how IT systems are running, when and how they might breakdown.
Social Media Analytics: e.g. using Big Data to figure out what customers are saying about your brand (or your competitor's brand) and why they are saying it.
Customer Sentiments: e.g. minimizing customer churn by detecting loyalty decay and suggest the next best action before the contact is made with the customer.
Fraud Detection: e.g. using Big Data to detect cyclical fraud patterns
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