DRAFT
On the Anomaly Impact Details page, users gain insight into why & how AGILITY triggered each anomaly notification by delineating the anomaly’s unique information we received. The Anomaly Impact Details page allows you to drill down further into an anomaly's causes & impacts to expedite network resolution processes and gather knowledge to prevent similar anomalies from reoccurring.
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The Anomlay Impact Details page is accessible through each domain dashboard. To get to the Anomlay Impact Details page, users need to expand the anomaly’s information row & select View Details
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You’ll be redirected to the Anomaly Impact Details page.
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Under the Anomlay Information header located at the top of the page, you’ll find a synopsis of the anomaly’s origin and impact.
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The Start Date & Time column provides the start date and time at which the anomaly began.
The Cell column provides the cell site identifier.
The Site columnprovides the site ID
The Network Layer column provides the domain name.
The Duration column lists the amount of time that lapsed before anomaly recovery or the duration of time that the anomaly lasted.
The Class column provides the anomaly classification
The Anomaly Score is a backend threshold that is used to determine if an anomaly should be displayed to users.
The RCA column provides the Root Cause Analysis for the anomaly.
The Detected On column provides the time at which AGILITY detected the anomaly. This detail demonstrates the latency for the amount of time it takes AGILITY to detect that there was an issue. Note that there can be a delay in receiving data from the customer, which contributes to the latency.
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The Impacted Key Quality Indicator Scores (KQIS) chart provides service impact details that help users identify the severity of the anomaly.
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The KQI Name column provides the name of the KQI extracted directly from the network data ingested by AGILITY.
The Impacted QoE (Quality of Experience) column provides a rating for the quality of experience that the user encountered on the indicated cell.
The Value column is a measurement that uses aggregated user data to quantify the impact that subscribers faced from the anomaly.
The Service column lists the service type.
The Current Impact column is a measurement that uses aggregated user data to qualify the impact that subscribers faced from the anomaly. The impact levels include Low, Medium, High, No & N/A. “No” means that there was no impact. “N/A” means that there is no data available.
The See Trends column allows users to visualize the service impact on a graph that plots the impacted KQI for the selected anomaly amongst normal network behavior to highlight deviations and demonstrate their severity.
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The Service KQIS Trends graph plots the impacted KQI for the selected anomaly amongst normal network behavior to highlight deviations and demonstrate their severity.
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To view the impacted KQI service Trends graph:
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The KQI is plotted on the y-axis.
The time is plotted on the x-axis.
The legend provides the context for the colors used on the graph.
Normal network behavior (no anomalies) is plotted in green, the selected anomaly is plotted in red, and historical anomalies are plotted in yellow.
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The PM KPIS chart provides network-level key performance indicators to help users identify the severity of the anomaly.
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The KPI Name column lists industry-standard network performance KPIs.
The KPI Value column quantifies the mathematical value of the impact that the anomaly had on network performance.
The Impact Level column qualifies the impact that the anomaly had on performance. The impact levels include Low, Medium, High, No & N/A. “No” means that there was no impact. “N/A” means that there is no data available.
The Importance Level column lists the numerical value that determines whether or not an anomaly is triggered. If the value is greater than zero, network degradation has occurred and will be reflected in the RAN Metrics Trend chart.
The See Trends column allows users to visualize the service impact on a graph that plots the impacted PM KPI for the selected anomaly amongst normal network behavior to highlight deviations and demonstrate their severity.
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The RAN Metrics Trends graph plots the impacted PM KPI for the selected anomaly amongst normal network behavior to highlight deviations and demonstrate their severity.
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To view the impacted RAN Metrics Trends graph:
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The PM KPI is plotted on the y-axis.
The time is plotted on the x-axis.
The legend provides the context for the colors used on the graph.
Normal network behavior (no anomalies) is plotted in green, the selected anomaly is plotted in red, and historical anomalies are plotted in yellow.
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The Auxiliary axis provides additional contextual data that helps determine the root cause of the anomaly.
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The auxiliary data will load
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FM Alarms are triggered for non-PM (Performance Management) KPI issues.
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The Alarm ID column
The Description column
The Severity Level column
The Alarm Type column
The Importance column
The Occurrence Time column
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The Anomaly Correlations chart displays correlations between anomalies that have common causes. The correlations are made across domains as well within the same domain. Correlations help group together issues with similar sources to expedite resolution timeframes. The anomaly chart below visualizes the fact that the anomalies at these two sites are correlated.
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The View Details column provides users access to the Anomaly Details page for the selected anomaly.
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The visualizations and graphs in the Impacted Subscriber Groups Overview section of the Anonaly Details page depict the customer impacts of the anomaly.
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The applicable Cell ID.
The applicable Cell Name.
The device’s IMSI.
The subscriber's MSISDN.
The subscriber’s customer Group.
The subscriber’s Service Plan type.
The subscriber’s service Plan ID.
Additional VoLTE &/or Data KQI Details quantifying the service degradation experienced by the subscriber.
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Go to the Impacted Subscriber Groups Overview section of the Anomaly Details page.
Select the VoLTE or Data icon.
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