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#3 Reason Communications Service Providers Need Operational Intelligence: Take Advantage of the Big Data Opportunity

Big Data & Operational Intelligence

Big Data is beyond the scope of traditional database software tools to capture, store, manage and analyze the enormous volume of operational data being generated from transactional interactions.

In telecommunications the most obvious source of this data is the network itself: the network control and user plane events that generate billions of events everyday on every operator’s network that have previously only been used for low-level diagnostic purposes. Other Big Data sources include third-party sources, while next-generation services and service bundles create new event streams. In addition, sensors are being added to machinery, utility networks and handsets to monitor usage and performance in real-time. Email and social networking, in particular, are creating huge amounts of unstructured text and the use of video is exploding, particularly over mobile.

Operators are storing more and more data about network performance and customer usage in order to tap into this valuable resource for customer and process insights. The communications industry pioneered the use of data warehouses to integrate, analyze and store highly structured customer data, but these newer operational databases are often unstructured and too large for ordinary software management tools to analyze them, either from a technical or economic point of view.

Using Big Data frameworks, such as Apache Hadoop, these large data sets provide enormous opportunities for operators to monitor network performance, segment customers, personalize service offerings, conduct deeper analysis and improve decisions.

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