Big Data Analytics
Improve customer integrations
Data sources can include social media, sensors, mobile devices, sentiment and call log data.
Detect and mitigate fraud
Monitor transactions in real time, proactive recognizing those abnormal patterns indicating fraudulent activity.
Drive supply chain efficiencies
Sensors, logs and transactional data can help track critical information from the warehouse to the destination.
Big Data Analytics
Big data analytics is the use of advanced analytic techniques against very large, diverse data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes.
Big data is a term applied to data sets whose size or type is beyond the ability of traditional relational databases to capture, manage and process the data with low latency.
