Mezmo's Methodology for Telemetry Data Management
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Mezmo's Methodology for Telemetry Data Management
Adding Value to Telemetry Data
While there has long been an opinion that telemetry data is simply an exhaust byproduct generated by operational systems that has little value, organizations are increasingly realizing that, in this voluminous output, there is data that can be used to ensure business continuity, drive cost reduction efforts, understand buyer sentiment, ensure compliance to legal regulations, and identify new business opportunities.
However, in its raw output, telemetry data initially has low value. Like any raw resource, it must be processed, optimized, and distributed downstream for its value to be realized. The way in which this is achieved is through a telemetry pipeline that transforms your raw data, increasing its value through each incremental step.
Adding Value to Telemetry Data
While there has long been an opinion that telemetry data is simply an exhaust byproduct generated by operational systems that has little value, organizations are increasingly realizing that, in this voluminous output, there is data that can be used to ensure business continuity, drive cost reduction efforts, understand buyer sentiment, ensure compliance to legal regulations, and identify new business opportunities.
However, in its raw output, telemetry data initially has low value. Like any raw resource, it must be processed, optimized, and distributed downstream for its value to be realized. The way in which this is achieved is through a telemetry pipeline that transforms your raw data, increasing its value through each incremental step.
Adding Value to Telemetry Data
While there has long been an opinion that telemetry data is simply an exhaust byproduct generated by operational systems that has little value, organizations are increasingly realizing that, in this voluminous output, there is data that can be used to ensure business continuity, drive cost reduction efforts, understand buyer sentiment, ensure compliance to legal regulations, and identify new business opportunities.
However, in its raw output, telemetry data initially has low value. Like any raw resource, it must be processed, optimized, and distributed downstream for its value to be realized. The way in which this is achieved is through a telemetry pipeline that transforms your raw data, increasing its value through each incremental step.
Adding Value to Telemetry Data
While there has long been an opinion that telemetry data is simply an exhaust byproduct generated by operational systems that has little value, organizations are increasingly realizing that, in this voluminous output, there is data that can be used to ensure business continuity, drive cost reduction efforts, understand buyer sentiment, ensure compliance to legal regulations, and identify new business opportunities.
However, in its raw output, telemetry data initially has low value. Like any raw resource, it must be processed, optimized, and distributed downstream for its value to be realized. The way in which this is achieved is through a telemetry pipeline that transforms your raw data, increasing its value through each incremental step.