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Big Data Analytics

Reference Architecture and

Business Value Roadmap

Joann O’Brien, TM Forum

Dr. Mick Kerrigan, Amdocs Management Ltd

Wei Dong, Big Data Works

Nikos Tsantanis, Intracom Telecom

(2)

Introduction to the

Big Data Analytics Guidebook

(3)

• Team Leads and Sponsors

• Contributors

Big Data Analytics

Project Team

(4)

The Many V’s

of Big Data

Value

Velocity

Variety

Volatility

Validity

Volume

(5)

Big Data Analytics

Business Value Roadmap

Validate

Use

Cases

1

Building

Blocks

2

Reference

Model

3

A step-by-step process to enable a CSP to implement a BDA

use case that delivers real business value

(6)

1 BDA use case covering revenue

assurance

11 BDA use case covering customer case, proactive care,

and customer retention 3 BDA use case covering real-time

network optimization and

management

1 BDA use case covering partner value optimization

1 BDA use case covering business process optimization 11 BDA use cases

covering offer targeting and optimization

1 BDA use case covering CSP Data

Monetization

3 BDA use cases covering Network related planning and

capacity management

1 BDA use case covering market

watch

1 BDA use case covering fraud management

Big Data Analytics

Use Cases

(7)

Big Data Analytics

Building Blocks

(8)

Big Data Analytics

Reference Model

(9)

Descriptive

Analytics

Predictive

Analytics

Prescriptive

Analytics

Value

Velocity

Variety

Volatility

Validity

Volume

Big Data

Meets Analytics

(10)

Data Source

Network, OSS, BSS, Social Network, …

Data Ingestion

Integration, Import, Format

D

a

ta

R

e

p

o

si

to

ry

S tr u ct u re d D a ta , U n st ru ct u re d D a ta , S e m i-st ru ct u re d D a ta

Data Management

Transformation, Correlation, Enrichment, Retention CAPEX Reduction

Applications

OPEX Reduction

Applications CEM Applications

Revenue Generating

Applications

Other Applications

P

ri

v

a

cy

,

S

e

cu

ri

ty

,

a

n

d

C

o

m

p

li

a

n

ce

D a ta E xc h a n g e S e rv ic e s

Data Analysis

Data Modeling, Metrics, Reports

Complex Event Processing

Alerts &Triggers

Batch

Streaming

GB979: Big Data Analytics

Reference Model

(11)

Data Source

Network, OSS, BSS, Social Network, …

Data Ingestion

Integration, Import, Format

D

a

ta

R

e

p

o

si

to

ry

S tr u ct u re d D a ta , U n st ru ct u re d D a ta , S e m i-st ru ct u re d D a ta

Data Management

Transformation, Correlation, Enrichment, Retention CAPEX Reduction

Applications

OPEX Reduction

Applications CEM Applications

Revenue Generating

Applications

Other Applications

P

ri

v

a

cy

,

S

e

cu

ri

ty

,

a

n

d

C

o

m

p

li

a

n

ce

D a ta E xc h a n g e S e rv ic e s

Data Analysis

Data Modeling, Metrics, Reports

Complex Event Processing

Alerts &Triggers

Batch

Streaming

Data Ingestion

Integration, Import, Format

Data Management

Transformation, Correlation, Enrichment, Retention

Velocity

Variety

Volatility

Validity

GB979: Big Data Analytics

Reference Model

(12)

Data Source

Network, OSS, BSS, Social Network, …

Data Ingestion

Integration, Import, Format

D

a

ta

R

e

p

o

si

to

ry

S tr u ct u re d D a ta , U n st ru ct u re d D a ta , S e m i-st ru ct u re d D a ta

Data Management

Transformation, Correlation, Enrichment, Retention CAPEX Reduction

Applications

OPEX Reduction

Applications CEM Applications

Revenue Generating

Applications

Other Applications

P

ri

v

a

cy

,

S

e

cu

ri

ty

,

a

n

d

C

o

m

p

li

a

n

ce

D a ta E xc h a n g e S e rv ic e s

Data Analysis

Data Modeling, Metrics, Reports

Complex Event Processing

Alerts &Triggers

Batch

Streaming

D

a

ta

R

e

p

o

si

to

ry

S tr u ct u re d D a ta , U n st ru ct u re d D a ta , S e m i-st ru ct u re d D a ta

GB979: Big Data Analytics

Reference Model

(13)

Data Source

Network, OSS, BSS, Social Network, …

Data Ingestion

Integration, Import, Format

D

a

ta

R

e

p

o

si

to

ry

S tr u ct u re d D a ta , U n st ru ct u re d D a ta , S e m i-st ru ct u re d D a ta

Data Management

Transformation, Correlation, Enrichment, Retention CAPEX Reduction

Applications

OPEX Reduction

Applications CEM Applications

Revenue Generating

Applications

Other Applications

P

ri

v

a

cy

,

S

e

cu

ri

ty

,

a

n

d

C

o

m

p

li

a

n

ce

D a ta E xc h a n g e S e rv ic e s

Data Analysis

Data Modeling, Metrics, Reports

Complex Event Processing

Alerts &Triggers

Batch

Streaming

Data Analysis

Data Modeling, Metrics, Reports

Value

GB979: Big Data Analytics

Reference Model

(14)

Data Source

Network, OSS, BSS, Social Network, …

Data Ingestion

Integration, Import, Format

D

a

ta

R

e

p

o

si

to

ry

S tr u ct u re d D a ta , U n st ru ct u re d D a ta , S e m i-st ru ct u re d D a ta

Data Management

Transformation, Correlation, Enrichment, Retention CAPEX Reduction

Applications

OPEX Reduction

Applications CEM Applications

Revenue Generating

Applications

Other Applications

P

ri

v

a

cy

,

S

e

cu

ri

ty

,

a

n

d

C

o

m

p

li

a

n

ce

D a ta E xc h a n g e S e rv ic e s

Data Analysis

Data Modeling, Metrics, Reports

Complex Event Processing

Alerts &Triggers

Batch

Streaming

GB979: Big Data Analytics

Reference Model

Value

Streaming

Complex Event Processing

(15)

Stream Processing

(16)

• Analyze Data as it arrives

• Constantly deliver outcomes

Data

Processing

Actions

(Near) Real-Time

Storage

Enables powerful use cases

with time-sensitive requirements

Streaming

(17)

millisecs

secs

mins

Reaction Time

Google Ads

display

Location-based

marketing

Credit Card

fraud

Real-Time

(18)

The Big Data Use Case ‘triplet’:

Insight + Action = Value

Example: Real Time Churn Prevention

Insight

Action

Value

Subscriber

Dissatisfaction

Retention

Campaign

Satisfied

Customer

CEP:

CEP:

CEP:

CEP: Enabler of Real

Enabler of Real

Enabler of Real

Enabler of Real----Time

Time

Time Insights & Actions

Time

Complex Event

Processor (CEP)

(19)

• Correlate events/data

• Detect event patterns

• Execute online algorithms

• Calculate KPIs

Identify Events

(Insights)

• Alerts (M2H)

• Triggers (M2M)

Respond to Events

(Actions)

All in real-time

+

(20)

Insight

+

Action

=

Value

CEP Example:

(21)

Real-time Personalized

Offers Based on Location

(22)

Big Data Analytics

Business Value Roadmap

Validate

Use

Cases

1

Building

Blocks

2

Reference

Model

3

A step-by-step process to enable a CSP to implement a BDA

use case that delivers real business value

(23)

Morning

• Long Lines

• Regular

Customers

• Morning Coffee

& Breakfast

Afternoon

• Empty Stores

• Infrequent

Customers

• Afternoon Tea &

Coffee Beans

Existing Ad

Campaigns

not Working

Real-Time Targeted Location-Based Advertising

Where are

my customers?

(24)

Geocoding

Key

Location

Profiling

Location

Prediction

Location

Detection

Real-Time Location

Detection

Time of Day, Day of

Week

Learn Key Locations

(Home & Work)

Capture Customer

Locations

Customer Location

Building Blocks

(25)

• New revenue source leads to

increased revenue

Service

Provider

• Relevant ads improve the customer

experience

Customer

• Time-of-day targetings increases offer

acceptance rate and profitability

Advertising

Partner

(26)

Privacy, Security, &

Compliance

(27)

P

ri

v

a

cy

P

ri

v

a

cy

Management

Protection

Preservation

C

o

m

p

li

a

n

ce

C

o

m

p

li

a

n

ce

Legal

Regulatory

S

e

cu

ri

ty

S

e

cu

ri

ty

Encryption

Authentication

Access Control

BDA Reference Model

(28)

BDA Reference Model

Privacy, Security & Compliance Layer

P

ri

v

a

cy

P

ri

v

a

cy

Management

Protection

Preservation

C

o

m

p

li

a

n

ce

C

o

m

p

li

a

n

ce

Legal

Regulatory

S

e

cu

ri

ty

S

e

cu

ri

ty

Encryption

Authentication

Access Control

(29)

BDA Reference Model

Privacy, Security & Compliance Layer

P

ri

v

a

cy

P

ri

v

a

cy

Management

Protection

Preservation

C

o

m

p

li

a

n

ce

C

o

m

p

li

a

n

ce

Legal

Regulatory

S

e

cu

ri

ty

S

e

cu

ri

ty

Encryption

Authentication

Access Control

(30)

BDA Reference Model

Privacy, Security & Compliance Layer

P

ri

v

a

cy

P

ri

v

a

cy

Management

Protection

Preservation

C

o

m

p

li

a

n

ce

C

o

m

p

li

a

n

ce

Legal

Regulatory

S

e

cu

ri

ty

S

e

cu

ri

ty

Encryption

Authentication

Access Control

(31)

Big Data Analytics

Project Milestones

Identify key analytics Use Cases

Define a BDA Reference Model

Decompose UCs to

reusable Building Blocks

Document Business Models

Frameworx 13 (April 2013)

TR202: Big Data Analytics

Reference Model

Frameworx 13.5 (Sept 2013)

GB979: Big Data Analytics

Guidebook

Frameworx 14 (May 2013)

GB979: Big Data Analytics

Guidebook

Extended Use Case Catalogue

(32)

Big Data Analytics Platform

and application Showcases

Dr. Mick Kerrigan, Amdocs Management Ltd

Nikos Tsantanis, Intracom Telecom

Paul Grepps, TEOCO Corporation

Dr. Gadi Solotorevsky, cVidya Networks Ltd.

(33)

Vendor

Presenter

Guidebook Use Case

Dr. Gadi Solotorevsky

S-MOM-T5: Personalized Offers Based on

Usage

Nikos Tsantanis

Monetizing Mobile Subscribers’ Insights

Paul Grepps

S-MOM-T4: Real-time Personalized Offers

Based on Location

Guillaume Le Mener

S-MOM-T4: Real-time Personalized Offers

Based on Location

Dr. Mick Kerrigan

O-RMO3: Real Time Customer Offload

Management

BDA Use Cases

on Show

(34)

BDA Use Cases

on Show

S

TA

G

E

(35)

BDA Catalyst @

TM Forum Live!

Business Growth through Big Data Analytics Catalyst

Demonstrate real life big data analytics

use cases in commercial software

Enable CSPs to implement, deploy, and obtain

ROI faster from their BDA initiatives

Use Cases are tested and validated by a

large team of 6 CSPs and 8 Suppliers

Validate GB979 use cases and reference model to

further improve it for the benefit of the industry

Join us at

TM Forum Live!

in Nice from June 2

nd

References

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