Mobile wireless customer micro-care apparatus and method

A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processor of a system, facilitate performance of operations, comprising:

• receiving a signal corresponding to a customer associated with a user equipment that is a member of a defined population of user equipment;
• obtaining a data package comprising metrics collected by the user equipment, wherein the metrics concern performance of the user equipment in a network;
• storing the data package in a first memory location of random access memory locations in a memory device of the system;
• allocating, to a customer care process, a group of processor nodes from a distributed pool of processor nodes;
• executing the customer care process using the random access memory locations and the group of processor nodes, comprising:
• transforming, by a first processor node of the group of processor nodes, the metrics in the first memory location into measures that are configured to enable derivation of a key performance indicators concerning the performance of the user equipment, and outputting, by the first processor node, the measures to a second memory location of the random access memory locations;
• generating, by a second processor node of the group of processor nodes, an enriched measure by processing the measures in the second memory location based on correlations of user equipment events in a time sequence, and outputting, by the second processor node, the enriched measure to a third memory location of the random access memory locations;
• transforming, by a third processor node of the group of processor nodes, the enriched measure in the third memory location into a first key performance indicator that is specific to the performance of the user equipment, and outputting, by the third processor node, the first key performance indicator to a fourth memory location of the random access memory locations;
• comparing, by a fourth processor node of the group of processor nodes, the first key performance indicator of the user equipment in the fourth memory location to a second key performance indicator of the defined population of user equipment, and outputting, by the fourth processor node, a result of the comparison of the first key performance indicator to the second key performance indicator to a fifth memory location of the random access memory locations;
• and
• using, by a fifth processor node of the group of processor nodes, the result of the comparison in the fifth memory location to identify a resolution to a problem with an operation of the user equipment, and outputting, by the fourth fifth processor node, the resolution to a sixth memory location of the random access memory locations.

A system, comprising:

• a processor;
• and
• a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising:
• receiving a signal corresponding to a customer associated with a user equipment that is a member of a defined population of user equipment;
• obtaining a data package comprising metrics collected by the user equipment, wherein the metrics concern performance of the user equipment;
• storing the data package in a first memory location of random access memory locations in the memory of the system;
• allocating, to a customer care process, a group of processor nodes from a distributed pool of processor nodes;
• executing the customer care process using the random access memory locations and the group of processor nodes, comprising:
• transforming, by a first processor node of the group of processor nodes, the metrics in the first memory location into measures that are configured to enable derivation of key performance indicators concerning the performance of the user equipment, and outputting, by the first processor node, the measures to a second memory location of the random access memory locations;
• generating, by a second processor node of the group of processor nodes, an enriched measure by processing the measures in the second memory location based on correlations of user equipment events in a time sequence, and outputting, by the second processor node, the enriched measure to a third memory location of the random access memory locations;
• transforming, by a third processor node of the group of processor nodes, the enriched measure in the third memory location into a first key performance indicator that is specific to the performance of the user equipment, and outputting, by the third processor node, the first key performance indicator to a fourth memory location of the random access memory locations;
• comparing, by a fourth processor node of the group of processor nodes, the first key performance indicator of the user equipment in the fourth memory location to a second key performance indicator of the defined population of user equipment, and outputting, by the fourth processor node, a result of the comparison of the first key performance indicator to the second key performance indicator to a fifth memory location of the random access memory locations;
• and
• using, by a fifth processor node of the group of processor nodes, the result of the comparison in the fifth memory location to identify a resolution to a problem with an operation of the user equipment, and outputting, by the fifth processor node, the resolution to a sixth memory location of the random access memory locations.