METHOD AND SYSTEM FOR RAPID ANALYSIS OF CUSTOMER INFORMATION
A method and system for rapid customer data analysis. The method includes providing at least one processor capable of connecting to a network, connecting the processor to the network and providing a user interface in operable communication with the processor. Additionally, the method includes providing one or more processor-executable instructions to the processor, the one or more processor-executable instructions includes at least one algorithmic process for analyzing data in a manner that allows for descriptive and predictive analysis. Customer behavioral data and at least one Key Performance Indicator are provided to the processor. Analyzing customer behavioral data in view of the provided Key Performance Indicator includes identifying customer behavioral patterns, automatically classifying the behavioral patterns identified into discrete segments and compressing the resulting discrete segments into narrower, unique segments. A report is generated that includes patterns identified and actionable applications of the report.
1 . A method for rapid customer data analysis, the method comprising:
providing at least one processor capable of connecting to a network;
connecting the processor to the network thereby facilitating communication with at least one remote device;
providing a user interface in operable communication with the processor, wherein the user interface is used to input commands to the processor;
providing one or more processor-executable instructions to the processor, wherein providing the processor-executable instructions causes the processor to execute the instructions in response to the input;
wherein the one or more processor-executable instructions includes at least one algorithmic process for analyzing data in a manner that allows for descriptive and predictive analysis;
providing customer behavioral data, via the user interface, to the processor;
providing at least one Key Performance Indicator, via the user interface, to the processor;
analyzing customer behavioral data in view of the provided Key Performance Indicator, via the at least one algorithmic process executed by the processor, wherein analyzing the customer behavioral date includes
identifying customer behavioral patterns as it relates to the provided Key Performance Indicator;
automatically classifying the behavioral patterns identified into discrete segments; and
compressing the resulting discrete segments into narrower, unique segments;
generating a report of the patterns identified, including actionable applications of the report.
2 . The method of claim 1 , wherein the user interface is selected from the group of a graphical user interface, an auditory user interface and a virtual user interface.
3 . The method of claim 1 , wherein the key performance indicators are user-specific key performance indicators.
4 . The method of claim 1 , wherein providing customer behavioral data to the processor may be accomplished using the at least one remote device, via the network.
5 . The method of claim 1 , wherein the generated report includes a list of the patterns identified and a list of discrete classification segments provided to the user utilizing the user interface.
6 . The method of claim 1 , wherein the generated report is a virtual persona of customer attributes provided via the user interface.
7 . The method of claim 1 , wherein the generated report includes at least one actionable initiative.
8 . A computer-implemented method, comprising:
providing at least one processor capable of connecting to a network;
providing a user interface in operable communication with the processor, wherein the user interface is used to input commands to the processor;
providing one or more processor-executable instructions to a processor, wherein providing the processor-executable instructions causes the processor to execute the instructions in response to the input;
wherein the one or more processor-executable instructions includes at least one algorithmic process for analyzing data in a manner that allows for descriptive and predictive analysis;
providing customer behavioral data, via the user interface, to the processor;
providing at least one Key Performance Indicator, via the user interface, to the processor;
analyzing customer behavioral data in view of the provided Key Performance Indicator, via the at least one algorithmic process executed by the processor, wherein analyzing the customer behavioral date includes
identifying customer behavioral patterns as it relates to the provided Key Performance Indicator;
automatically classifying the behavioral patterns identified into discrete segments; and
compressing the resulting discrete segments into narrower, unique segments;
generating a report of the patterns identified, including actionable applications of the report.
9 . The method of claim 7 , wherein the user interface is selected from the group of a graphical user interface, an auditory user interface and a virtual user interface.
10 . The method of claim 7 , wherein the key performance indicators are user-specific key performance indicators.
11 . The method of claim 7 , wherein providing customer behavioral data to the processor may be accomplished using the at least one remote device, via the network.
12 . The method of claim 7 , wherein the generated report includes a list of the patterns identified and a list of discrete classification segments provided to the user utilizing the user interface.
13 . The method of claim 7 , wherein the generated report is a virtual persona of customer attributes provided via the user interface.
14 . The method of claim 7 , wherein the generated report includes at least one actionable initiative.
15 . A customer behavior analysis system, the system comprising:
at least one processor capable of connecting to a network;
at least one remote device capable of connecting to the network;
a user interface operatively coupled to the processor, the interface configured to receive an input;
a memory device storing processor-executable instructions, wherein the one or more processor-executable instructions includes at least one algorithmic process for analyzing data in a manner that allows for descriptive and predictive analysis; wherein the analysis includes
providing customer behavioral data, via the user interface, to the processor;
providing at least one Key Performance Indicator, via the user interface, to the processor;
analyzing customer behavioral data in view of the provided Key Performance Indicator, via the at least one algorithmic process executed by the processor, wherein analyzing the customer behavioral date includes
identifying customer behavioral patterns as it relates to the provided Key Performance Indicator;
automatically classifying the behavioral patterns identified into discrete segments; and
compressing the resulting discrete segments into narrower, unique segments;
generating a report of the patterns identified, including actionable applications of the report.
16 . The system of claim 15 , wherein the user interface is selected from the group of a graphical user interface, an auditory user interface and a virtual user interface.
17 . The system of claim 15 , wherein the key performance indicators are user-specific key performance indicators.
18 . The system of claim 15 , wherein providing customer behavioral data to the processor may be accomplished using the at least one remote device, via the network.
19 . The system of claim 15 , wherein the generated report includes a list of the patterns identified and a list of discrete classification segments provided to the user utilizing the user interface.
20 . The system of claim 15 , wherein the generated report is a virtual persona of customer attributes provided via the user interface.