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

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

1. Click the AGILITY icon.

   

   You will 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.

   

5. Expand the row for the anomaly that you're investigating.

6. Select the View Details icon. You’ll be redirected to the Anomaly Details page.

Extracting Information from the Anomaly Details Page

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:

Start Date & Time: provides the start date and time at which the anomaly began.

Cell: provides the cell site identifier.

Site: provides the site ID

Network Layer: provides the domain

Duration: lists the amount of time that lapsed before anomaly recovery or the duration of time that the anomaly lasted.

Class: provides the anomaly classification

Anomaly Score: is a score that is decided by our data scientist’s models & used to determine if the anomaly should be displayed to users.

RCA: provides the Root Cause Analysis for the anomaly.

Detected on: 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.

KQI Name:

Impacted QoE:

Value:

Service:

Current Impact:

See Trends:

Service data is at the top based on individual user KQIs key quality index reflected by user experience
- toggle button filter data volte

example to use: https://oci-ad-dev.b-yond.com/ran/anomaly/9892917b-580a-e555-c78b-427f1a1bf4b3?restoreFilters=3053639b-3afd-4ed8-a37d-edb44bb954db

KQI name how we ingest the data

QoE = quality of experience : user experience faced on that cell

Value: the output of the KQI. its the aggregated data of individual data of subscribers on those cells. Each user . Value is a measure of the impact of the anomaly.

Sevrice : the service name

Current impact: the model computes the impact and tells you if it is low medium high or not available . No means it is not impacted there are three no, medium, high N/A means the data is not available

Service KQIS Trends: How to view the Impacted KQIs service trends

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.

See Trends:

cLICK ON THE sEE tRENDS icon to see the Service KQIS Trend Chaart

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