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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.

How to Access the Anomaly Impact Details Page

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

To navigate to the Anomaly Impact Details to view the specifics of a particular anomaly:

  1. Click the AGILITY icon.

    You’ll be redirected to the AGLILITY home page.

  2. Click the square icon.

    The Domain Insights menu will expand.

  3. Select Radio Access Network.

  4. You'll be redirected to the Radio Access Network (RAN) Domain Insights Dashboard. ( To access domain insights for a different domain, click on the desired Domain name from the Continuous Assurance menu. You'll be redirected to the applicable Domain Insights Dashboard.

Default Filters: When the Dashboard is accessed through the menu, it automatically reflects the past 3 hours and 15 minutes of activity on the selected Network.

5. Toggle Auto Refresh toggle off to refine the dashboard results using filters.

6. To use filters, select Show Filters.

7. The filter menu will expand.

8. Use the filters to refine the search results to reflect the timeframe that you'd like to investigate.

9, Select Apply.

Your query will be reflected on the dashboard.

The View Details panel will expand.

6. Select the “i” information icon to expand the row for the anomaly that you're investigating.

You’ll be redirected to the Anomaly Impact Details page.

Extracting Information from the Anomaly Details Page

  1. Under the Anomlay Information header located at the top of the page, you’ll find a synopsis of the anomaly’s origin and impact.

The Anomaly Information includes:

  • 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 column provides 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 the receipt of data from the customer, which contributes to the latency.

The Impacted KQIS (Key Quality Indicator Scores) Chart

The Impacted Key Quality Indicator Scores (KQIS) chart provides service impact details that help users identify the severity of the anomaly.

  • 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.

Service KQIS Trends

The Service KQIS Trends graph plots the impacted KQI for the selected anomaly amongst normal network behavior to highlight deviations and demonstrate their severity.

How to View the Impacted KQIs Service Trends

To view the impacted KQI service Trends graph:

  1. On the Anomaly Details page, go to the Imapcted KQIS chart.

  2. Select the graph line icon from the SEE Trends column.

    The Service KQIS TREND data for the selected KQI will load.

  • Normal network behaviour (no anomalies) is plotted in green

Auxillary data togle adds secondary data the secondary axix added on the right hand side adds data that lets you visualize the cause

Performance Management:

key performance indicators are network level performance level - second two tables PM KPIS

names are standard they all know what those names mean

kpi value mathematical value the result of the anomaly on performance

Imapct Level means the severity of the anomaly and the percentage deviation level how much it deviates from the normal network

Importance : the inidcagti=or that was decided to trigger the anomaly numbers greater than zero indicate that this KPI was degraded and therefor triggered an anomaly . You will see dgredation in the chart if it is higher than 0

RAN Metrics Trend

FM Alarms

if we have an alarm on site it will trigger an anomaly based on the alarms right now we don't have an alarm . In some cases we do have an alarm. Example of cases with an alarm: https://oci-ad-dev.b-yond.com/ran/anomaly/c3818f35-a987-d578-aa66-58f7bcb3569c?restoreFilters=4bdbf827-75e0-4620-99d1-4b55ce3ebcba

Alarm type: sometimes it is not a KPI issue . Either an issue is a PM KPI or an FM Alarm Fault. Management PM performance Management

Anomaly Correlations

Anomlay Correlation : Anomaly correlation between anomalies that are all connected together. Ex there are several towers in a stadium, Tower a had an issue tower b & c had an issue and they were triggered separately, The correlator will bring these issues into one place to advise that here is a common issue happening on an area on a group of towers whether its on the same domain or a different domain ex. a router far away fro m the stadium has an issue and at the same time there was a problem on those sites. if we ave an anomaly in PS core and we notice that it is affecting towers , we connect them

We will get an example from Toufic:

View details will take you to the NOMALYT DETAILS FOR THAT SPECIFIC ANOMALY IT is a link for that particular anomaly

its telling you the anomaly at these two sites is correlated

Impacted Subscriber Group Overview

IMPACTED SUBSCRIBER GROUPS OVERVIEW: change to impacted customer insight

How many users were actually being impacted by that anomaly

SUBSCRIBER GROUPS IMPACTEDCharts help identify who the affected users are general , normal , VIP, corporate government

IMPACTED QoE Qulity of Experience how were the users affected , what happened to them ?

IMPACTED QoEWhat was affected what kind of application was impacted what kind of application they were using social media audio

Deatils column last both volte or data or one . Actionalbel click to see what degradation was faced

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