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Ben Bekele | Ola Mabadeje - PowerPoint Presentation

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Ben Bekele | Ola Mabadeje - PPT Presentation

Sidney Kriger Business amp Technology Architecture Marketing 12132016 SP Business Transformation Journey with our Customers New Revenue Opportunities and Cost Savings in Mobile ID: 816107

services service amp revenue service services revenue amp automation mobile cagr network opex business traffic time cisco savings cost

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Presentation Transcript

Slide1

Ben Bekele | Ola Mabadeje | Sidney Kriger

Business & Technology Architecture Marketing

12/13/2016

SP Business Transformation Journey with our Customers

New

Revenue Opportunities and Cost Savings in Mobile

Slide2

Agenda

Market Trends for Service Providers and Mobile

1

New Services Opportunities to Grow Revenues

2

How Automation and Virtualization Impact TCO

3

Slide3

Trends: New Opportunities

The world has gone

mobile

T

raffic growth in access,

driven by video

Rise of cloud computing

Digitization leading to IoE

Changing Customer

Expectations

With AI, VR

Ubiquitous Access

to

Apps & Services

8X

Mobile Traffic Growth

From

2015-2020

Changing Enterprise Business Models

Efficiency & Capacity

Soon to

Change

SP Architectures/ Service Delivery

Emergence of the Internet of Everything

Process

Things

People

Data

Slide4

Accelerate

Growth

Grow compelling services and markets

Leverage cloud and IOT services expansion

Subscriber retention and relationship

Personalization,

any device, anywhere

Increase Speed

Web-scale breaks current cost and design models

Co-development, DevOps, cloud scale

Improve

Efficiency

Bandwidth is growing;

revenue is not

Improve efficiency: virtualization + SDN + automation

SP

Business Challenges and Needs

Secure Everything

Slide5

Global IP Traffic Distribution and Growth Rates across Access Types

Total IP Traffic

2015

Total IP Traffic

2020

5-Year Growth Rates

CAGR

Internet Traffic

Internet Traffic

Wi-Fi 26%

Fixed Wired 11%

Mobile 53%

Mobile and Wi-Fi platforms will drive traffic

growth

An opportunity and

a challenge

for Service Providers

Source: Cisco VNI

Cisco.com/go/VNI

Slide6

2020 Mobile Traffic Forecast

Share by Region and

5-Year

CAGRs

North America

CAGR 42%

Western Europe

CAGR 45%

Central/Eastern Europe

CAGR 52%

Latin

America

CAGR 50%

Middle East & Africa

CAGR 71%

Asia Pacific

CAGR 54%

Source: Cisco VNI Global Mobile Data Traffic Forecast, 2015–2020

Cisco.com/go/VNI

Slide7

2020 Mobile Connected Devices

Share by Region,

5-Year

CAGRs, and Devices per Capita

North America

CAGR 16%

Devices Per Capita 2.8

Western Europe

CAGR

12%

Devices Per Capita

2.7

Central/Eastern Europe

CAGR 7

%

Devices Per Capita

1.9

Latin

America

CAGR 6

%

Devices Per Capita

1.5

Middle East & Africa

CAGR

7%

Devices Per Capita

1.1

Asia Pacific

CAGR 7

%

Devices Per Capita

1.4

Source: Cisco VNI Global Mobile Data Traffic Forecast, 2015–2020

Cisco.com/go/VNI

Slide8

Identifying and Assessing SP Opportunities

Market Competitiveness

Cost Optimization

Revenue Generation

Opportunity Assessment

TCO of New Architecture and

Technology Platform

$

Expected Monthly Average

Revenue per User (ARPU)

Identify New Services and Business Models

Annual Forecast of Market Potential

Service Provider Profitability

Slide9

New Mobile Services Revenue Opportunities

Slide10

Mobile Monetization & Optimization by 2020

Total

SP

TAM for by 2020

Incremental revenues enabled by new

Mobile

services, ARPU uplift

TCO Savings enabled by optimizing the service delivery architecture using Cisco

SDN and NFV technology

Monetization

M2M/

IoT

Voice

over Wi-Fi

Analytics

Services

Sponsored Data

Optimization

NFV/SDN

Core, Edge & Access Optimization

Service Automation

$3

Monthly ARPU

Uplift

2

35%

Cost Savings

3$627BGlobalIncremental Opportunity1CISCO BTA TEAM AND OTHER INDUSTRY SOURCES

Slide11

Premium CPM $Z

Potential Revenue Streams:

Analytics as a Service Value Chain

Wi-Fi Service

Provider

Outlets

&

Stores

Stadium

Mall

Hotel

Ad Exchanges

&

Networks

55%*Z

Real-Time Contextual

Data

Revenue ($)

25%*Z

Targeted

User

and

Network

D

ata

20%*

Z

Customized Insights &

Managed

Services Revenue ($Y)

Wi-Fi

Source: Numbers derived from Cisco® BTA’s MVNO

VoWi

-Fi Revenue Analysis, Cisco BTA’s Sponsored Data Economic Analysis, Cisco VNI® 2015, and ACG research

Slide12

27%

18%

31%

2%

17%

5

%

System Integrators

VAS

Apps

Data Analytics

Middleware

Connectivity Providers

Potential Revenue Streams:

IoT

/M2M Value Chain

Network & Device Vendors

67% of Total

Service Providers’ Immediate Opportunity

Next Phase of Opportunity

SP Revenues

Today

Transportation/Auto/Connected Car

Utilities/Manufacturing

Retail

Smart City

A

B

C

D

SP Revenues

Tomorrow

Slide13

MVNA or

Service

Provider

$

$

Wholesale Capacity

Revenue

Potential Revenue Streams:

VoWi

-Fi Value Chain

Small SP

Voice Plans across Wi-Fi Hotspots and Cellular Network

MVNO

2

Service Provider

$

Enterprise

In-Building Voice Plans

MVNO 1

Offering

MVNO

Service

Offering

VoWi

-Fi

Service

Value-added Servicese.g. International Roaming$Existing Subscribers

$Low Cost Voice& Data PlansNew Markets Subs

Slide14

Consumer

Wholesale to partners

Business

WiFi first

MVNO

LEVERAGE EXISTING RELATIONSHIPS AND ASSETS

Customer Type

: Cable Provider

Use Case:

Using NFV-based MVNO deployment and Wi-Fi assets to launch Wi-Fi first MVNO and Wi-Fi capacity wholesale service

NFV Impact on Expanding Revenue O

pportunities

Cable

SP

Revenue

Slide15

Derived from pro forma income statements

Cable Provider Average Profit Per User (APPU)

Slide16

Year 5

Business as Usual

Year 5

With Wholesale & MVNO

Increase

Monthly ARPU

$157

$169

8%

EBITDA

$20 Million

$23 Million

15%

Average Profit

per Subscriber

$58.15

$64.50

11%

Cable Provider Business Impact

Slide17

Automation: SDN Impact on Creating and Delivering Services

Slide18

Poll: What is the most important impact SDN will have on your business?Automation of Existing/Legacy Services

Automation of Network Operations Automation of Virtual ServicesReducing Time to Revenue

Slide19

Orchestration and Automation

Legacy Services

Virtual Network Elements

Physical Network Elements

Virtual Services

Operations(Ops)

Efficiency

Time to Market

Time to Revenue

Optimization Focus

New On-Demand Services

Dynamic Scale up and down

Lower

OpEx

and

CapEx

Monetization Focus

Hybrid

Approach to

Automation

and

Orchestration

Start with Operation Efficiency for Legacy and Expand into Virtual Services

Phase 1

Phase 2

Slide20

Major Barrier To Transformation: ComplexityTime-consuming, Rigid Operations, High O

perations Costs—Cannot Scale!

Plan It

Design It

Where Can We Put It?

Procure It

Install It

Configure It

Secure It

Is It Ready?

Manual

Inhibits New Services

Inhibits New Markets

Inhibits Business Agility

Slide21

From Complexity to Simplicity and Automation

A Platform for Innovation

Automated

Self-Service

On-Demand

Plan It

Design It

Where Can We Put It?

Procure It

Install It

Configure It

Secure It

Is It Ready?

Manual

Service

Oriented

Self-Service

Automated Provisioning

Elasticity

(Capacity on Demand)

From Months to Minutes

Slide22

Business

Impact of Automation

Improve

Revenue & Avoid Costs

Network and Service Operations

Time to deployment

Time to activation

IT Investment

Revenue Uplift

Cost Avoidance

BSS/OSS update

Integration

Faster time to revenue

Churn reduction

3

rd

party fees

Truck rolls

Improve

OpEx

&

Reduce IT Investment

Slide23

Automation

Change Request from Existing

Customers

Add New Customers

Service Disconnect

Incident Resolution

Introduction of New Service or Capabilities

Time to Revenue Gain

Service Automation

Maintenance Window (MOP)

ACL Management

Device Migration

Config

Audit/Validation

Network Refresh/Regional Rollouts

Device Provisioning

Network Automation

Slide24

Source: Cisco BTA

Operating Cost

New Customer Add

Change Request

Incident Resolution

MOP/ Maintenance Window

Based on averages across mobile, cable, telco and DC providers

*North bound API for portal and service order entry provides additional benefits

Operation

% of Service

Op Cost

Ops

Improvement

Customer*

O

rder

7%

80%

Order

Entry*

6%

77%

Order

P

rocessing

10%

80%

Config

Validation

20%

93%

Service Provisioning

14%

90%

Network Configuration

13%

78%

CPE Install - TTU29%0%

Highly Relevant

Some Relevance

Less Relevant

Relevance to Automation via NSO

Operation

% of Service

Op Cost

Ops

Improvement

Change Order*

5

%

67%

Order

Entry*

5

%

67

%

Order

P

rocessing

11%

86%

Config

Validation

21%93%Service Provisioning15%

90%

Network Configuration

14%

78%

CPE

Install - TTU

30%0%Operation

% of Service

Op CostOps ImprovementTrouble Call*

12%80%Ticket Generation*

8

%71%Trouble-shooting

15%53%Config Validation

37%

94%Re-Provisioning

23%90%Resolution Verification5%

50%

Operation

% of Service Op CostOps ImprovementChange Order4.6%67%

Route Order

9.1%45%Analyze Order13%

50%Config Template Update18%93%Network Configuration50%

90%

Document

Changes

5%78%OpEx Reduction and Efficiency

Slide25

77% Reduction in Time to Process a Change Request

Example

a

nalysis

2.9 Hours

to Process Change Requests, Down from

12.7 Hours

Slide26

Impact of SDN Automation on SP OpEx

Before Automation

After Automation

Change Request

New Add

Disconnect

Incidents

MOP

SP Automation Journey

50-60% Improvement in

OpEx

OpEx

(%)

Slide27

SPs Generate $5‒$25 in Savings for Every $1 Invested in Automation

Average Savings

Increases

as More Services and Operations Are Automated

Slide28

Summary—The Business Value of Automation and Orchestration*

Source: *Average based on multiple use cases and customer engagements SPs - 30+ service provider use cases, Telco, Mobile, Cable, Cloud and Backhaul providers

Change Request from Existing

Customers

+70%

Increased Revenue

+30%

Time to Revenue

-60%

Incident Reduction

-60%

Reduced Backlogs

-40%

Slide29

Virtualization: NFV Impact on Service Delivery

Slide30

Poll: What is your top reason for moving to a virtualized architecture?

Reduce CapexBetter agility Tap into new revenueReduce

OpexNot moving to virtualization

Slide31

Orchestration and Automation

Legacy Services

Virtual Network Elements

Physical Network Elements

Virtual Services

Operations(Ops)

Efficiency

Time to Market

Time to Revenue

Optimization Focus

New On-Demand Services

Dynamic Scale up and down

Lower

OpEx

and

CapEx

Monetization Focus

Hybrid

Approach to

Automation

and

Orchestration

Start with Operation Efficiency for Legacy and Expand into Virtual Services

Phase 1

Phase 2

Slide32

PMO

Grow on existing appliance-based infrastructure, purchasing in advance

FMO

Grow with virtualized infrastructure and migrate all

existing

subscribers/sessions, paying via subscription over time

Where to Invest to Handle Growth in Traffic and Sessions?

PMO – Present Mode of Operation

FMO – Future Mode of Operation

v

s.

Slide33

Resource & Financial Drivers for Comparison

SP Market Facing Services/Use Cases

FMO

PMO

NSO

ESC/CTCM

Bearer Plane

M2M GW

Policy

Management Servers

TOR Switch

Mercury

CEPH

Number Service Requests

Order to Activation Process

Order

L

ead

T

ime

Configuration & Activation Timeline

Service ARPU

Subscribers & CAGR

Traffic Profile & CAGR

NSO

Service Order-to-Activation & Fulfilment

Testing & Certification and Training

Resource Deployment

Network Assurance

Traffic Backhaul – Edge to Core

Software MaintenanceDatacenter Facilities, Power, Cooling, FloorspaceOpExCost DriversOpExCost DriversCapExCost DriversTerm-based Recurring Software LicensesHardware

Perpetual Software LicensesCapExCost Driversvs.Call ModelService Penetration Infrastructure

Services

Slide34

Summary Financial ResultsChoosing NFV-based over Appliance-based Architecture

5-Year Business Case Results

TCO Savings

TCO Savings %

Year 1

ROI

Year 5

ROI

5-Year Revenues from

New Services

NPV

$

4.3 M

36%

33%

249%

$ 14 M

$

13.2 M

5-year demand drivers of resources & costs:

Throughput (

Gbps

) grows from 10.3 to 44.8

SAUs or sessions grow from 1.3M to 2.3M

Slide35

TCO Savings Contribution Attribution

35% to 53%

TCO Savings

Slide36

Environmental OpEx SavingsPower, Cooling & Floor Space

40%

SAVINGS

NFV-based

OpEx

Appliance-based

OpEx

Slide37

$4.9M

Appliance-based

OpEx

Service Management

OpEx

Savings

Design, Plan, Test, Deploy, Roll Out

67%

Savings

Source: IDC , Cisco BTA

$1.6M

NFV-based

OpEx

Slide38

Improve and Grow Your Business

Agility/Cost

Automate

Gain flexibility and reduce

OpEx

Virtualize

R

evenue

Tap into

new revenue at

reduced cost

Modernize

Scale

Upgrade infrastructure to manage

b

andwidth & device

e

xplosion

Learn more:

cisco.com/go/mobile

cisco.com/go/

nso

Slide39

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