Identify operational failures and address them before they are reported
Enterprise companies are generating and collecting a plethora of data and the volume can double every couple of months. In addition to the rapidly growing data volumes, the data is complex. This enterprise hardware customer had hundreds of different semi-structured and unstructured log formats. To address these challenges, the company standardized on Datameer and Hadoop. Additionally, through an opt-in program, the company collected data from customers about the status of their products. When customers enroll in this program their devices and components will send back to corporate log messages that indicate things like status, device failures, application failures and utilization. This wealth of information helped Support, Development, Marketing, Services—virtually every group within the company.
failure by 30%
Big Data in Financial Services
Big Data in Technology
Big Data in Telecommunications
Big Data for Customer Analytics
Data-driven Products and Services
Fraud and Compliance
Enterprise Data Warehouse
Big Data for Operational Analytics
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