How to improve customer experience with a self organizing network

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Copyright Comarch 2011 How to improve customer experience with a self-organizing network Lukasz Mendyk OSS Product Manager, Comarch

Transcript of How to improve customer experience with a self organizing network

Page 1: How to improve customer experience with a self organizing network

Copyright Comarch 2011

How to improve customer experience with a self-organizing network

Lukasz MendykOSS Product Manager, Comarch

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Agenda

• Introduction• Self-Organizing Network and Customer Experience• What are the challenges?• Cell Outage Compensation example• Architecture• How to employ „Plug & Play” for improving CE• Leveraging „Self-Optimizing” SON function• How to employ self-healing• How to gain trust in automation• Conclusions

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Customer Experience

• According to Yankee Group’s report „Delivering a World-Class Customer Experience” there are 4 dimensions of customer experience:

– Company and brand

– Products and services

– Channel

– Delivery and operations• Does the product work anywhere, anytime?

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Customer Experience - Self-Organizing Network

• A congested network leads to poor customer experience• LTE is a „better network” - an anticipated remedy in mobile

networks• LTE – huge investments – a need to „kill two birds with one

stone” – OPEX reduction• OPEX reduction by shifting from network management

towards a Self-Organizing Network– Automation is key

• Self-Organizing Network goals:– A direct goal – cost reduction by leveraging automation, reducing

costs related to human work– Customer Experience – can this be the ultimate goal?

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What are the challenges?

• Translating „better network” to „better customer experience”• Self-Organizing Network needs a „good driver” – proper

metrics– Improving technical parameters IS NOT a goal in itself– Improving Customer Experience IS

• SON – means „autonomy for network management”• How to control SON so that

it is in line with the business goal?• Gaining trust in automation, tuning ability• Step-by step implementation• Multi-vendor, multi-domain support

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Using the right criteria - example

• „Better network” vs. „better customer experience”• Technical parameter optimization may not be the right criterion• The right approach is optimization based on the final goal

(not intermediary ones) Let’s see the obtained results based on different criteria– Cell Outage Compensation – SON function – an example

scenario

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Cell Outage Compensation - example

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Cell Outage Compensation - example

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Cell Outage Compensation - example

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Cell Outage Compensation - example

• Compensation is based on the „borrowing resources” effect• Network-centric implementation may cause the high priority cell

(airport cell) service level to be degraded by the compensation mechanism

• A need for business goal control• What is the true goal of Cell Outage Compensation:

– NO – bringing the coverage back– YES – a maximum service level which can be provided using

limited resources

• Criteria: summary service level after compensation must be „>” than the one just after an outage

• If not – the compensation scenario should be discarded

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Lessons learned

• SON must be driven by customer service criteria and metrics

• Technical parameter optimization itself can’t be a SON goal • A holistic view of the network is needed to avoid a „local

optimization” problem• A holistic view means

– both service and network (resource) view of the network• To translate service criteria onto network requirements• To calculate the impact of network optimization on services

– horizontally the end-to-end view means a multi-domain, multi-vendor view of the network

• To have a summary effect of network reconfiguration

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Self-Organizing Network – the architecture

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Plug & Play and Customer Experience

• Plug & Play – direct goals:– new NEs should self-configure and self-optimize and be

operational directly after being „plugged-in”– cost reduction– speeding up the process of network extension

• Plug & Play – Customer Experience– improving network support for customer services– quicker network extension – faster reaction to changing customer

demands

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Plug & Play and Customer Experience

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Plug & Play and Customer Experience

1) Define service criteria (a rock concert)

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Plug & Play and Customer Experience

2) Initial network planning

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Plug & Play and Customer Experience

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Plug & Play and Customer Experience

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Plug & Play and Customer Experience

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Plug & Play and Customer Experience

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Self-Optimizing and Customer Experience

• Self-Optimizing – direct goals:– automating network configuration tuning process– no need for manual changes of technical parameters– cost reduction

• Self-Optimizing– Customer Experience– optimizing network support for customer services– automated network adjustments, according to changing customer

service requirements

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Self-Optimizing and Customer Experience

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Self-Optimizing and Customer Experience

1) Collect network KPIs

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Self-Optimizing and Customer Experience

2) Calculate impact on the customer - KQIs

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Self-Optimizing and Customer Experience

3) Identify bottlenecks

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Self-Optimizing and Customer Experience

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Self-Optimizing and Customer Experience

4) Verify optimization

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Self-healing and Customer Experience

• Self-healing – direct goals:– automating outage detection and problem resolution– no need for human intervention– cost reduction

• Self-healing– Customer Experience– Minimizing impact on customer services

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Self-healing and Customer Experience

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Self-healing and Customer Experience

1) Collecting alarms

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Self-healing and Customer Experience

2) Calculating impact on customer services

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Self-healing and Customer Experience

3) Root cause analyses and prioritization

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Self-healing and Customer Experience

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How to gain trust in automation

• Step-by-step implementation● using the existing OSS systems in a novel way

• Gaining trust● manual, semi-automated, automated processes● measuring the effectiveness of automation routines● controlling automation via defined KPIs● tuning capabilities

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How to gain trust in automation

• A simple example for self-healing (self-diagnosing):● root cause analysis (FM) at the beginning – just a hint

for an operator to make a final decision● based on KPIs, if „hints” are always correct for the

defined circumstances – an automated rule can trigger a defined correction action

● using KPIs for verification if automated routines need manual corrections -> rule tuning

● step-by-step replacement of manual processing of tasks with automated routines

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Conclusions

• Self-Organizing Network - an automation which can help improve customer experience

• Appropriate metrics and goals for automated routines are essential

• Technical parameters vs. customer experience driven metrics

• Comprehensive view of the network comprising both resources and services is crucial

• Leveraging the existing OSS ecosystem guarantees step by step implementation and gaining trust in automation

• Controlling and tuning automation via KPIs is a necessity

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Thank [email protected]