Telecom network switches, network servers and other equipment generate and store large amounts of data every day. The data is mainly used for billing and network operations, If utilized fully, this data can have an enormous impact on network operations and overall profitability.
Many communications service providers (CSP) do not have the tools to mine this data quickly and deeply enough to realize its value. Tools are being used that are usually home grown and not scalable. Valuable information is being lost—information that could be used to predict network issues rather than respond to them after the fact. The alternative of a full analytic database can be cost-prohibitive.
By applying big data tools and predictive analytics upstream of the database, CSPs can move from reactive to proactive use of the data. Network quality problems can be identified in minutes rather than days. By analyzing all the data, analytics tools can pinpoint root cause and suggest corrective actions. Finding and fixing these issues more quickly leads to higher call quality, more profitable service and increased customer satisfaction.
This session is sponsored by Pervasive
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