Digital Operations: Handbook for Communication Service ...€¦ · VITRIA HANDBOOK FOR COMMUNICATION SERVICE PROVIDERS | 9 ® TELECOMMUNICATION SERVICE PROVIDER REALIZES A SERVICE

VITRIA®

Digital Operations:

Handbook for Communication Service Providers

HANDBOOK FOR COMMUNICATION SERVICE PROVIDERS | 2VITRIA®

DIGITAL OPERATIONS CHANGES THE GAME FOR COMMUNICATIONS SERVICE PROVIDERS

Digital Operations focuses on the use of data to make better decisions within an execution window. It uses data to drive better decision making so that organizations can react more intelligently to incidents and exceptions in the process of engaging with customers or in delivering a service.

...Lives at the intersection of real-time and continuous data analytics, customer experience and operational execution. Successful Digital initiatives lead to data-driven execution. Data-driven execution uses all available data, to guide or automate the next best response under all operating conditions, all the time and in real-time.

...Is the real-time measurement and visibility of all aspects of a service or process as well as the “Digitization” of the Incident to Response or Opportunity to Offer Life-Cycle.

Digital Operations...

...Brings together the dependent data sources that drive a service or sub-service in real-time into a single source of truth. Advanced analytics, AI, and machines learning techniques are used to shorten, automate and more intelligently detect operational anomalies or opportunities and find the correct response during daily service process execution.


12

3


BUSINESS CASE FOR DIGITAL OPERATIONSService performance is the key competitive differentiator in attracting new customers and reducing churn. Service performance, a key success factor in the communication industry is the most important criteria for delivering on business objectives and improving the customer experience.

INCREASED UPTIME OR THROUGHPUTWhen anomalies or opportunities are detected late or not at all the risk of down time increases. Early detection translates into more billable hours of enjoyment and less service credits for subscription offerings.

IMPROVED CUSTOMER EXPERIENCEUptime and rapid response, as well as, providing advance customer notification for any impacts they may experience improves customer loyalty and satisfaction.

IMPROVE OPERATIONAL EFFICIENCYBy eliminating the time spent chasing symptoms, diagnosis, response, and recovery can be accelerated. (Some estimates indicate 20% or more of opex resources goes to chasing the symptoms.)

OPTIMIZATION BENEFITSDigitizing a service enables real-time analytics to be used to optimize situationally appropriate responses that improve the customers’ services experience and improve margin.

For many companies, a dollar spent in the area of digital operations yields a better — or more quantifiable — return than an incremental dollar spent in online engagement pursuing data to drive their strategic or planning functions.


TRANSFORMING THE INCIDENT RESPONSE LIFE-CYCLE MANAGEMENT PROCESSReal-time analytics, AI, machine learning, and IoT are transforming Incident Response Lifecycle Management and providing enormous operational improvement in service performance.

To gain a competitive advantage, service providers are transforming their Incident Response Lifecycle Management processes in order to:

• Prevent problems before they are visible to customers and

• Accelerate time to issue resolution when service incidents occur.

Providing a service while remaining dependent on silos of disconnected data across software, hardware and network is no longer an option. Winning companies are measuring service operations holistically and making use of multiple modes of technology and data to drive better experiences and outcomes.

Achieving operational visibility of the customer experience and accelerating response to any event degrading or disrupting service performance requires significant process change.

MOVING FROM TRANSFORMING TO

Reactive response Proactive action

Monitoring for service disruption Monitoring to improve the customer experience

Post event processing Real time processing

Scheduled maintenance Predictive maintenance

Manual processes Automated processes

Stove pipe incident response Holistic incident response management across the network, application, and infrastructure.


THE JOURNEY TO DIGITAL OPERATIONS“Digitizing” any service or sub-service involves establishing analytic pipelines that can be grouped into these five (5) categories:

Real-time Operational Visibility: The ingestion of data at every layer of the service necessary to measure the current state and historical state of performance. Usually this Digitization effort takes the form of reducing a set of data feeds into time series data then establishing metrics to the time series data across various time windows.

Advanced Anomaly Detection: This is the application of a variety of analytic rules, models and algorithms that look for unusual boundary conditions, patterns of interaction or anomalies to the metrics and measurements for each layer separately and cross correlated across layers.

Dynamic Population Management: Dynamic change management is a separate category of opportunity or anomaly detection and incident management in which some form of “change” can be correlated with an operational anomaly. It represents the capability to automatically detect changes to entities related to a Digitized service (for example changes to the attributes of a subscriber to my service or to a physical asset such as a server or router configuration in one of my technological enablement layers). Dynamic Population Management provides the ability to dynamically discover if these populations or groups of entities that have experienced a change is meaningful in comparison to a performance indicator (for example truck rolls, service calls, login or transaction failures) and to identify and respond to this change intelligently.

Incident Life-Cycle Automation: When opportunities or anomalies are detected by a portfolio of analytic rules and models the Digitized service requires that we make available all related information and data correlated in time with its associated reference data for further evaluation. This stage involves incident life-cycle management and it involves the application of another portfolio of analytic models and rules to associate the incident to its root cause or next best action. This allows for the automaton of the right response and eliminates the alarm noise and waste associated with monitoring independent silos of business events with their application and technology layers.

Dynamic Failure Prediction: Involves the use of the resulting history from the above processing stages to learn and detect in advance, sequences of operational states and activities, that are the early predictors of anomalies and incidents and proactively initiate corrective action or intelligent alerting.

FIGURE 4: STAGES OF THE DIGITAL OPERATIONS FRAMEWORK

Real-TimeOperationalVisibility

AdvancedAnomalyDetection

DynamicPopulation

Management

IncidentLife-CycleAutomation

DynamicFailure

Prediction

Automated orSemi-Automated

Action

1

2

3

4

5


VITRIA, THE POWER OF THE VIA PLATFORM AND THE VIA DIGITAL OPERATIONS SOLUTIONS SUITEAt Vitria, we bring the power of artificial intelligence and machine learning to address the complex issues that surround real-time digital operations. We have the expertise to leverage the exploding volume of disparate data assets to enable effective automation.

We work with our clients and deploy our solutions to simplify and improve processes and service delivery in order to provide a better experience for their end users and customers.

Our solutions help our clients make sure that the right people have access to the right context to do their jobs better.

VIA’S LOW CODE PLATFORM & TOOLS FOR DIGITAL OPERATIONS

CONNECTIVITY & IOT

BIG DATA

STREAMING ANALYTICS

ARTIFICIAL INTELLIGENCE

AUTOMATION

FULLY AWARE

LEANER

RELIABLE

MONETIZATION

Real-Time Collect & Compute Open Core Data Lake & In-Memory Technologies

Pre-built Templates for Digital Operations

Visual Low-Code DevelopmentOver Open Core

Real-timeAnalytics

Advanced Analytics Engine

HistoricalAnalytics

PredictiveAnalytics

PrescriptiveAnalytics

Automation

Solution Templates

Digital Operations Solutions

StreamingIngestion

IoT Communications& Protocols

OpenData Lake


BROADBAND PROVIDER INVESTS WITH CONFIDENCE

OPPORTUNITY

To improve their customers’ experience and increase service reliability, investments were being made to their fiber optic facilities to reduce node sizes from hundreds of subscribers sharing the facility to tens of subscribers. But the impact of change to the subscribers’ experience needed to be accurately defined to continue to make these investments.

CHALLENGES

• Manual processes to gather data and generate reports were arduous, error prone and reports were not timely enough.

• Subscribers negatively impacted by the change were sometimes lost in the big picture.

• Inability to accurately define the full subscriber impact of the investment.

SOLUTION

A Vitria subscription-based solution with Dynamic Population Management powered by the VIA platform. The VIA platform ingests streaming events in real-time, enriches with batch reference data, analyzes for attribute and time-series behavioral changes and takes actions such as generating alerts and opening incidents in third party systems. Dynamic Population Management:

• Identifies subscribers’ attribute changes.

• Groups those subscribers into populations with common changes.

• Associates Key Performance Indicators (KPIs) such as service calls and device errors associated with these subscribers.

• Calculates baselines for KPIs.

• Creates alerts when there are meaningful deviations from the baseline.

OUTCOMES ACHIEVED

• Rapid identification and analysis of populations with similar attribute changes.

• Monitors affected population subscribers’ experiences so prompt action can be taken.

• Alerts appropriate staff to any degradations in the subscribers’ experience so prompt action can be taken.

• Identification of nearly 250,000 avoidable truck rolls in the first year.


TELECOMMUNICATION SERVICE PROVIDER ACCELERATES TIME TO REVENUE

OPPORTUNITY

Reduce time to revenue by accelerating and optimizing the customer onboarding process and the quote-to-bill process for both end-user clients and wholesalers.

CHALLENGES

• Gaining real-time visibility into their internal processes.

• Integrating workflows across multiple acquired providers.

• Finding systemic and nuanced issues within their process.

• Reducing manual processes through automation.

SOLUTION

Deployment of the VIA platform and Real-time Operational Visibility & Advanced Anomaly Detection Solution templates on a subscription basis. The solution enables:

• Ingestion and synthesis of data across multiple sources in real time.

• On-demand baselines of various metrics.

• Association of metrics to service health and service-delivery layers.

• Autonomous anomaly detection and Incident creation.

• Visibility of key metrics through live dashboards.

• Finding nuanced problems and contextualizing insights to continuously improve operational processes.

• Automation of processes.

OUTCOMES

• Optimized three mission critical internal systems for provisioning, quoting, and billing to accelerate time to value and improve their customers’ experience.

• Monitoring of these internal processes in real time and taking proactive action when anomalies are detected.

• Synthesized and automated manual workflows and processes reducing operational costs.

• Resulted in a reduction of missed orders by 12% and shortening the quote-to-bill cycle by an average of 3 days.


TELECOMMUNICATION SERVICE PROVIDER REALIZES A SERVICE ORIENTED OPERATING MODEL WITH VIA

OPPORTUNITY

Transition to a service-oriented operating model to implement new processes that deliver dramatic gains in performance across email, voice, internet service and video on demand among others.

CHALLENGES

• Define the possible by viewing their service processes holistically across their services.

• Find a consistent way of looking at the health of all of their services.

• Map their customers’ journeys to their processes and place the customer as the focal point for process change improvements.

SOLUTION

Implement the VIA platform, the full suite of Digital Operations Solutions and associated templates. Vitria’s Integration Services were leveraged along with deployment of a Vitria onsite Technical Account Manager. The VIA Digital Operations Solutions Templates and the VIA platform enables:

• Ingestion and synthesis of data across the network, infrastructure, and application software layers in real time.

• Automation of processes.

• Advanced analytics and predictive intelligence.

VIA’s low code environment accelerated time to value and provided the agility the organization required to adapt to change and operationalize multiple use cases rapidly using the VIA platform.

OUTCOMES

• Accelerated their incident lifecycle processes with a multiplier effect through integration across the networking, software application, and the infrastructure service layers (incident lifecycle reduced for one of their services from 12 hours to 30 minutes).

• Reduced operating costs by millions of dollars per year.

• Ability to solve more incidents faster and prevent incidents from occurring delivers an improvement in customer satisfaction (expected to be a 40-point increase in NPS).

• Detecting 92% of incidents prior to customer impact is reducing customer calls and truck rolls by thousands per month.


VIA’S FAST-START DIGITAL OPERATIONS SOLUTION FRAME WORK AND ASSOCIATED SOLUTION TEMPLATESVIA helps speed time-to-deploy by offering a family of pre-configured fast-start solution templates. The templates include core analytic application functions — parsers, schemas, algorithms, dashboards and automation triggers - to guide the organization’s steps toward building a complete analytics pipeline.

VIA Digital Operations templates have out-of-the-box live dashboards and reporting interfaces, and custom UIs can be created using VIA authoring tools. The solution templates can easily be configured or extended by customer developers, system integrators or the Vitria field team.

Dynamic failure prediction – solving problems before

performance impact

Monitors complex processes in real time to take corrective action prior to performance degradation

Leverages powerful AI to uncover meaningful anomalies to find problems sooner

Awareness of the impact of operational changes to ensure better decision making

Decipher complex incident patterns in real time – understanding impact and

automating resolution to solve the right problems faster

Real-Time Operational

Visibility

Advanced Anomaly Detection

Dynamic Change

Management

Incident Life-Cycle

Automation

Dynamic Failure

Prediction

Digital Operations Framework


REAL-TIME OPERATIONAL VISIBILITY

Delivers real-time visibility with advanced analytics to gain end-to-end insight into complex processes to take proactive action and improve process efficiency.

CAPABILITIES BENEFITS

• Individual metrics are enriched with context in real time to provide live ad hoc trend analysis.

• Baselines are generated on-demand for immediate visual representation of anomalies.

• Analytics can be applied to patterns of interest with drill down to the transaction level.

• Gaining real-time process visibility into end-to-end performance to improve service quality.

• Obtain at-a-glance insight into key performance indicators (KPIs) and highlight process exceptions.

• Manage processes by exception in real time.

DIGITAL OPERATIONS SOLUTION TEMPLATES


Visibility


Dynamic Change

Management

Incident Life-Cycle

Automation

Dynamic Failure

Prediction


ADVANCED ANOMALY DETECTION

Allows organizations to detect anomalous behaviour and find root cause within a complex set of assets or processes across the network or within process flows with speed and agility.


• Dimension analysis uses machine learning, the association of attributes-to-events across a given time-series to identify potentially impacted entities.

• Intelligent alerting uses machine-learning. Detected anomalies are reanalysed for both time-based and parent/child redundancy. The resulting correlated anomalies are grouped into a single alert which is continuously reanalysed as new data is made available.

• Integration with incident management systems, as well as other downstream systems like CRM, provisioning, billing, and contact management enables checking for existing incidents or alerts on the same population.

• Situational Intelligence enriches entity profiles with situational KPIs from third party OSS systems.

• Predictive Analytics predicts the impact of detected anomalies and events.

• Reduction in avoidable service incidents by addressing the issues proactively.

• Improvement in staff productivity by eliminating false positives and raising accurate operational alarms.

• Eliminates multiple teams working on the same problem independently and in silos without the benefit of advanced analytics and context-based learning.

• Reduction in the meantime to repair and resolve.

• Improvement in overall customer satisfaction and net promoter scores.

• Improves and enables automation of root cause analysis.

• Enables prioritization of actions to minimize operational impact.


Visibility


Dynamic Change

Management

Incident Life-Cycle

Automation

Dynamic Failure

Prediction



DYNAMIC POPULATION MANAGEMENT

Enables customer organizations to be constantly aware of operational changes and assess their performance.


• Collects and contextualizes time-series data in real-time to create groupings or populations of entities such as equipment sharing similar characteristics (e.g. firmware version) and behaviours (e.g. throughput).

• Once the solution detects a change in characteristics (e.g. change for firmware version) for an entity it will re-classify that entity into a new population and track the before and after impact of that change on its behaviour (e.g. improved/lowered throughput).

• Improved capital allocation, reliability and efficiency.

• Enables the rapid mitigation of any negative impacts of change and the ability to better assess the benefits of the change.

• Automatically correlates operational anomalies with change and maintenance activities.

• Enhanced agility to evaluate digital transformation opportunities and make more informed decisions (e.g. operational a/b testing).

DIGITAL OPERATIONS SOLUTION TEMPLATES (CONTINUED)


Visibility


Dynamic Change

Management

Incident Life-Cycle

Automation

Dynamic Failure

Prediction


INCIDENT LIFE-CYCLE AUTOMATION

Notifies operations teams of potential future incidents, including the probability that they will occur and their potential impacts.


• Analytic pipelines operate in real-time, continuously analysing, scoring, predicting and learning.

• Continuously analysed event anomalies and matches them with patterns of historical incidents.

• Once a high probability incident is discovered, the solution can trigger an automated resolution process, schedule a maintenance activity, or simply notify the operations team.

• System learning based on current issue resolution results.

• Ability to interrogate Incident Management systems to determine previously taken actions on a similar incident type (e.g., reboot an element) in order to provide prescriptive steps.

• Integrate with systems such as Resolve in order to drive step-by-step actions.

• Avoid outages and disruptions that interfere with production optimization.

• Reduce maintenance cost, decrease service incidents and quality degradation.

• Data-driven predictive maintenance to improve service reliability, lower cost and extend asset life.

• Automate QA testing to reduce downtime, improve yield, and limit threshold deviations.


Visibility


Dynamic Change

Management

Incident Life-Cycle

Automation

Dynamic Failure

Prediction



DYNAMIC FAILURE PREDICTION

Enables the identification and resolution of potential issues before they impact performance. It can be used to implement effective preventative maintenance and quality assurance testing to reduce cost.


• Notifies operations teams of potential future incidents including the probability they will occur and their potential impact.

• Continuously analyses event anomalies and matches them with patterns of historical incidents. Once a high probability incident is discovered, an automated response can be triggered such as a resolution process, scheduling a maintenance activity, or notification of a response team.

• Relies on the capabilities of the VIA platform to perform predictive analysis from a single-stream time-series or from complex, multi-stream, multi-thread, correlated, labelled historical indicators.

• Operates in real time continuously analyzing, scoring, predicting, and learning. Predictive failures are recognized continuously as they manifest in the analytic model’s results.

• The system can learn based on issue resolution results.

• Interrogates incident management systems to determine previously taken actions on similar incident types and provides prescriptive steps.

• Presents an action item list and manages the life-cycle of the tasks associated with the action items through the resolution path.

• Predict and act on parts or systems failure that can create service quality issues or downtime.

• Increase efficiency by improving and automating maintenance procedures lowering cost and extending asset life.

• Improve forecast accuracy and uptime by 20% or more.

• Decrease the number of service incidents and improve overall service quality.

• Test new technologies prior to roll out to ensure that there are no points of failure.

• Automate QA testing to reduce downtime, improve yield and limit threshold deviation.

DIGITAL OPERATIONS SOLUTION TEMPLATES (CONTINUED)


Visibility


Dynamic Change

Management

Incident Life-Cycle

Automation

Dynamic Failure

Prediction



VIA’S DIGITAL OPERATIONS SUITE ACCELERATES THE INCIDENT RESPONSE LIFE-CYCLEThe VIA Digital Operations Solutions Suite accelerates each phase of the Incident Response Lifecycle process, providing the real-time operational process monitoring and delivering the predictive analytics needed to deflect service incidents, and enable continuous operational improvements.

THE INCIDENT LIFE CYCLE PHASESPHASE 1 PHASE 3 PHASE 4 PHASE 5

Occurrence Detection RestorationDiagnosis Repair RecoveryReaction

INCIDENT LIFE-CYCLE PHASE

COMMON CHALLENGES BENEFITS OF VITRIA’S DIGITAL OPERATIONS SOLUTIONS

Occurrence to Detection

Undetected occurrences due to nuanced issues are harder to detect and extend the time to recovery.

Detect anomalous behavior within a complex set of assets across a network, production line or process flow, with both speed and agility.

Detection to Reaction

False positives overwhelm operations draining their productivity and delaying reaction time to real issues.

Lack of integration across systems introduces redundancy with multiple efforts underway to tackle the same or related issues across the same population base.

Reduce false positives and fine tune the alerting process to improve efficiency.

Enable integration across systems and stove pipes eliminating redundant efforts and waste.

Diagnosis

Diagnosis involving complex human analysis often across multiple data sets and disciplines to determine root cause extends cycle time.

Visualization tools, machine learning algorithms, and predictive analytics is often lacking or not well integrated.

Enable operations teams to triage network, system and machine anomalies more efficiently by applying event-to- event correlations and machine learning techniques.

Integrate visualization tools and predictive analytics into the diagnostic process.

Repair

Workarounds and manual repairs to resolve the issue takes time.

Leverage AI and machine learning from previous events to suggest workarounds and repairs and automate implementation where feasible.

Recovery

Incident impact may be felt during recovery requiring monitoring through full restoration to provide recovery assurance.

Monitors incident impact in real time to assure incident restoration.


VIA’S DIGITAL PLATFORM AND DEVELOPMENT ENVIRONMENTVitria’s VIA Digital Operations Platform is designed to provide intelligent, real-time access to the organization’s many operational layers. VIA overcomes operational silos to track changes in operational assets — a critical feature in today’s fast-changing operations infrastructures.

VIA features an open-core, real-time analytics architecture that can be deployed via cloud, on-premise or hybrid configurations. VIA uses standards-based components to ingest streaming data, access historical/contextual data, build analytic models, and generate automated responses and predictive workflows.

VITRIA’S ADF DEVELOPMENT ENVIRONMENT

VIA also features a graphics-based, low-code development environment called ADF, or Analytic Data Flow to help non-technical users compose applications by dragging and dropping reusable code blocks.

Model-Driven Analytic “DataFlows”Streaming & Batch Applications

Interaction Development & Debugging

Deploy to Spark Server or Elastic Cluster

Cloud Ready

•

•

•

•

Common Building BlocksSource and Target Resources (e.g., HDFS, Feeds,

Sockets, Kafka, connectors)

Parse — Schema on Read

Aggregate (Time-Series Enabled)

Filter, Correlate and Join

In-Memory Tables, SQL Execution

Predictive Analytics (PMML, Spark R, MLlib)

Geospatial Correlation and Location Analytics

Time-Series Analytics with Late Event Support

Create “Libraries” of Re-usable analytic building blocks for

composite applications and your own solution offerings

•

•

•

•

•

•

•

•

•


RESOLVING THE MAKE VS. BUY DECISIONVIA’s solution templates offer an attractive alternative to the typical build-or-buy quandary. Many organizations choose whether to build applications in-house or buy pre-formed applications for specific use cases. The “build” option takes time, risks cost overruns and is difficult to modify in order to keep up with fast changing operational environments. The pre-built application is typically inflexible when it comes to accommodating new service requirements or operational changes.

In contrast, VIA templates deliver an open-ended solution that combines quick starts with ease of modification. VIA’s fast-start solution templates cover 70 to 80 percent of the application build. Developers, business users and others then employ ADF tools to add customization and intellectual property. This allows unique applications to be developed and implemented in weeks rather than months. The templates are easily extensible, allowing additions or changes in services or operational assets to be made quickly.

Vitria has experience and best practice to advise in the approach to digitizing service operations. The VIA solution suite from Vitria provides a complete and easy to adopt set of templates to guide adoption and achieve success. The solution and approach allow for rapid realization of value while taking into consideration the sometimes-conflicting requirements for agility, self-service, open standard inclusiveness and the need for insulation from change during this period or rapid innovation.

HOW TO FUND DIGITAL OPERATIONS INITIATIVESA smart approach to funding Digital Operations initiative is to begin with a single business function or service. This enables operations executives to measure results and create short sprints of self-funding road maps.

The key is to analyze key performance metrics before and after the digitization initiative. This illustrates the benefit of a smarter, faster, more automated response enriched by data. The business case is further established by observing those measures and linking metrics back to the digital operations improvements.


THE BEST WAY TO DESIGN AND PLAN A DIGITAL OPERATIONS INITIATIVEWe recommend to begin by organizing around the customer engagement processes — the end-to-end services or sub-services. We then gather the data associated with the service from many different dimensions, and automate the entire process in order to digitize the incident response lifecycle.

In many cases the foundational step of aligning all available data — which is comparable and measurable — is skipped over. This often happens when companies are collecting data and trying to stand up projects that are not directed towards an outcome that is connected to a business case.

Once the evaluation of all these data feeds is automated, we measure the data against the identified metrics in short sprints as the digitization initiative rolls out.

This establishes an analytic pipeline that offers operations executives a single source of real time truth. As the incident response lifecycle is digitized, it is a best practice to develop a set of starting analytic models and rules that run against the data.

In many cases the foundational step of aligning all available data — which is comparable and measurable — is skipped over. This often happens when companies are collecting data and trying to stand up projects that are not directed towards an outcome that is connected to a business case.


WHAT MAKES VIA DIFFERENTVIA’s Digital Operations Solutions offer an agile, fast and simplified approach to digital transformation and the implementation of new strategies to transform the Incident Response Lifecycle process. From first breaking down data and organizational silos for real-time operational visibility, through the detection of nuanced incidents within a sea of anomalies and alerts, to dynamically predicting potential failures, VIA’s Digital Operations Solution platform and low code environment delivers business value 10x faster than alternatives.

A deployment catalyst with parsers, data models and APIs

Prescriptive and predictive analytics on real-time data

Correlates streaming data with historical and empirical data

Agile development environment enables rapid time to value

Intelligent actions and automation

Pre-built and customizable templates deployed in days

VIA Solution

Templates

End-to-end advanced analytics engine – from

real time analytics and visualization to AI

and automation

Our platform offers a low-code and model-driven development environment

for rapid deployment.

The VIA platform is proven, built to scale, and leverages a best-in-class technology stack.

Vitria’s VIA platform, Digital Operation Framework, and the suite of Digital Operations Solution templates delivers:

• Real-time operational visibility of end-to-end processes.

• Proactive problem prevention through predictive analytics and machine learning.

• Automatic restorative response where feasible and enables rapid intervention through notification where automation is not yet effective.

• More effective predictive maintenance that extends asset life, improves operational efficiency, and prevents downtime.

Our goal is to allow our clients to uncover potential issues and problems proactively and support them on their journey to high performance.


ABOUT VITRIA

Vitria optimizes the Digital Operations Journey. VIA Digital Operations Solutions offer an agile, fast and simplified approach to digital transformation. From first breaking down data and organizational silos for real-time visibility, through the detection of nuanced incidents within a sea of anomalies and alerts, to dynamically predicting potential failures, VIA’s Digital Operation Solution Templates and low-code platform delivers business value 10X faster than alternatives. Discover more at http://www.vitria.com

VITRIA®

http://www.vitria.com

Documents

Digital Operations: Handbook for Communication Service ...€¦ · VITRIA HANDBOOK FOR COMMUNICATION SERVICE PROVIDERS | 9 ® TELECOMMUNICATION SERVICE PROVIDER REALIZES A SERVICE