INTELLIGENT OPERATIONS HEALTH SCORE WITH TEMPORAL TRACKING IN TELECOMMUNICATION NETWORKS
Systems and methods to perform temporal operations health score tracking in telecommunication networks. One system may include a processing system comprising one or more electronic processors. The processing system may be configured to receive key performance indicator (KPI) data relating to a plurality of KPIs describing a performance of a telecommunications network. The processing system may be configured to determine, based on the KPI data, a composite score indicative of an overall performance of the telecommunications network. The processing system may be configured to, responsive to determining the composite score, execute an automated action with respect to the telecommunications network.
1 . A system to perform temporal operations health score tracking in telecommunication networks, the system comprising:
a processing system comprising one or more electronic processors, the processing system configured to:
receive key performance indicator (KPI) data relating to a plurality of KPIs describing a performance of a telecommunications network;
determine, based on the KPI data, a composite score indicative of an overall performance of the telecommunications network; and
responsive to determining the composite score, execute an automated action with respect to the telecommunications network.
2 . The system of claim 1 , wherein the composite score is to indicate an overall network health of the telecommunications network.
3 . The system of claim 1 , wherein the processing system is configured to:
determine whether the composite score satisfies a criterion; and
responsive to the composite score satisfying the criterion, provide an automated notification of the composite score to a remote device.
4 . The system of claim 1 , wherein the processing system is configured to determine the composite score based on a subset of the KPI data, wherein the subset of the KPI data is associated with a subset of the plurality of KPIs that is indicative of customer experience with respect to the telecommunications network.
5 . The system of claim 1 , wherein the KPI data is time series data.
6 . The system of claim 1 , wherein the plurality of KPIs includes at least one of: an accessibility KPI, a retainability KPI, a mobility KPI, an integrity KPI, an availability KPI, or a utilization KPI.
7 . The system of claim 1 , wherein the processing system is configured to:
determine, based on the KPI data, anomaly data related to the telecommunications network; and
determine the composite score based on the KPI data and the anomaly data.
8 . The system of claim 7 , wherein the processing system is configured to determine the anomaly data using a seasonal autoregressive integrated moving average (SARIMA) model.
9 . The system of claim 7 , wherein the anomaly data includes data related to a presence of an anomaly within the KPI data.
10 . A method to perform temporal operations health scores tracking in telecommunication networks, the method comprising:
receiving, with a processing system comprising one or more electronic processors, key performance indicator (KPI) data relating to a plurality of KPIs describing a performance of a telecommunications network;
determining, with the processing system, based on the KPI data, a composite score indicative of an overall performance of the telecommunications network; and
responsive to determining the composite score, executing, with the processing system, an automated action with respect to the telecommunications network.
11 . The method of claim 10 , wherein determining the composite score includes determining a composite score indicative of an overall health of the telecommunications network.
12 . The method of claim 10 , further comprising:
determining, with the processing system, whether the composite score satisfies a criterion; and
responsive to the composite score satisfying the criterion, providing, with the processing system an automated notification of the composite score to a remote device.
13 . The method of claim 10 , wherein determining, with the processing system, the composite score includes determining, with the processing system, the composite score based on a subset of the KPI data, wherein the subset of the KPI data is associated with a subset of the plurality of KPIs that is indicative of user experience with respect to the telecommunications network.
14 . The method of claim 10 , wherein receiving, with the processing system, the KPI data includes receiving time series data, wherein the plurality of KPIs includes at least one of: an accessibility KPI, a retainability KPI, a mobility KPI, an integrity KPI, an availability KPI, or a utilization KPI.
15 . The method of claim 10 , further comprising:
determining, with the processing system, using a seasonal autoregressive integrated moving average (SARIMA) model, anomaly data based on the KPI data, the anomaly data related to a presence of anomalies within the KPI data, wherein the composite score is determined based on the anomaly data and the KPI data.
16 . A non-transitory computer-readable medium storing instructions that, when executed by one or more electronic processors of a processing system in a telecommunications network, cause the processing system to perform operations comprising:
receiving key performance indicator (KPI) data relating to a plurality of KPIs describing a performance of a telecommunications network;
determining, based on the KPI data, a composite score indicative of an overall performance of the telecommunications network; and
responsive to determining the composite score, executing an automated action with respect to the telecommunications network.
17 . The computer-readable medium of claim 16 , further comprising:
determining whether the composite score satisfies a criterion; and
responsive to the composite score satisfying the criterion, providing an automated notification of the composite score to a remote device.
18 . The computer-readable medium of claim 16 , further comprising:
determining, based on the KPI data, anomaly data related to the telecommunications network; and
determining the composite score based on the KPI data and the anomaly data.
19 . The computer-readable medium of claim 18 , wherein determining the anomaly data includes determining the anomaly data using a seasonal autoregressive integrated moving average (SARIMA) model.
20 . The computer-readable medium of claim 18 , wherein determining the anomaly data includes determining data related to a presence of an anomaly within the KPI data.