Proactive operations platform
A proactive operations (ProOps) platform is contemplated to facilitate processing data for purposes of turning included information into action, such as to enable operators to proactively manage network operations using information derived from mathematical analysis of raw data collected from network devices.
1. A method of facilitating proactive operations (ProOps) for a plurality of devices connected to a network, the method comprising:
processing raw data into a plurality of data layers, the raw data being obtained with a collection platform from a plurality of network connected devices, each of the plurality of data layers representing different results from processing of the raw data or data from another one of the data layers based on a data modeling;
orientating the raw data into orientated data, the raw data recoverable from the orientated data, and the orientated data being one of the plurality of layers; and
executing one or more actions as a function of information included in the plurality of data layers.
2. The method of claim 1 further comprising:
trigger analyzing the orientated data into actionable data, the actionable data being one of the plurality of data layers and compiling the orientated data relative to triggers associated with assessing the one or more actions.
3. The method of claim 2 further comprising:
sectioning the actionable data into decisional data, the decisional data being one of the plurality of data layers and quantifying the actionable data surpassing the triggers.
4. The method of claim 3 further comprising:
threshold analyzing the decisional data into work items, the work items being one of the plurality of data layers and executing the one or more actions.
5. The method of claim 4 further comprising implementing a resource monitor for enabling monitorial access to the raw data, the orientated data, the actionable data and the work items.
6. The method of claim 4 further comprising implementing a resource monitor for reconfiguring or adjusting processes for generating the raw data, the orientated data, the actionable data and the work items.
7. The method of claim 4 further comprising sorting the work items to estimate benefits of completing corresponding ones of the work items.
8. The method of claim 4 further comprising outputting identifiable data resulting from the work items to a dashboard application, the dashboard application providing a mechanism for interfacing the identifiable data with network administrators or systems employed by network administrators.
9. The method of claim 1 , wherein the collection platform is a combined common collection framework (XCCF) platform that provides a structured approach to collecting the observational data from the plurality of devices.
10. The method of claim 1 , wherein the network is part of a cable plant.
11. The method of claim 1 further comprising ranking the plurality of devices according to performance measure severity.
12. A non-transitory computer-readable medium having a plurality of instructions executable with a processor to facilitate a proactive operations (ProOps) platform, the plurality of instructions being for:
processing raw data into a plurality of data layers, the raw data being obtained with a collection platform from a plurality of network connected devices, each of the plurality of data layers representing different results from processing of the raw data or data from another one of the data layers based on a data modeling;
orientating the raw data into orientated data, the raw data recoverable from the orientated data, and the orientated data being one of the plurality of layers; and
executing one or more actions as a function of information included in the plurality of data layers.
13. The non-transitory computer-readable medium of claim 12 , wherein the plurality of instructions is for implementing:
an extraction worker for orientating the raw data into orientated data; and
a trigger analyzer worker for trigger analyzing the orientated data into actionable data, the actionable data being one of the plurality of data layers and compiling the orientated data relative to triggers associated with assessing the one or more actions.
14. The non-transitory computer-readable medium of claim 13 , wherein the plurality of instructions is for implementing:
an actionable worker for sectioning the actionable data into decisional data, the decisional data being one of the plurality of data layers and quantifying the actionable data surpassing the triggers.
15. The non-transitory computer-readable medium of claim 14 , wherein the plurality of instructions is for implementing:
a threshold analyzer worker for threshold analyzing the decisional data into work items, the work items being one of the plurality of data layers and executing the one or more actions.
16. The non-transitory computer-readable medium of claim 12 , wherein the plurality of instructions is for implementing a resource monitor for enabling monitorial access to the raw data, the orientated data, the actionable data and the work items.
17. The non-transitory computer-readable medium of claim 12 , wherein the plurality of instructions is for implementing a resource monitor for reconfiguring or adjusting processes for generating the raw data, the orientated data, the actionable data and the work items.
18. The non-transitory computer-readable medium of claim 12 , wherein the collection platform is a combined common collection framework (XCCF) platform that provides a structured approach to collecting the observational data from the plurality of devices.
19. The non-transitory computer-readable medium of claim 12 , wherein the network is part of a cable plant.
20. The non-transitory computer-readable medium of claim 12 , wherein the plurality of instructions is for implementing searching the orientated data over frequency or time to indicate any detected anomaly.