Big Data, Big Profits: Harnessing the Power of Analytics. Overview

(1)

Big Data, Big Profits:

Harnessing the Power of

Analytics

(2)

DD 14 Catalyst Goals

1. Harnessing the power of Big Data Analytics to improve

customer experience and achieve business growth

2. Defining and implementing a new and innovative concept

for a unified Analytics Big Data Repository (ABDR)

3. ABDR supporting multiple big data use cases and

commercial data analytics systems, while avoiding data

replications

(3)

Inline with the Data Analytics Guidebook GB-979

By the Data Analytics Working Group

Reference Model Use Cases (A) Building Blocks (B) Business Value Roadmap

(4)

Project Champions



China Mobile



Cox Communication



Mediacom



MTS Allstream



Orange



Verizon

4

(5)

Project Suppliers



BAE Systems



cVidya



NetCracker



ParStream

5

(6)

Catalyst Process

6



Phase 1 - Nice 2014:

– Map the data sources for select use cases from GB-979

– Further map the required data from each source

– Present use cases in multiple commercial tools

– Identified the need for a unified

Analytics Big Data

Repository (ABDR)



Phase 2 - San Jose 2014:

– Define ABDR

– Extract the required data from the ABDR



Phase 3 - Nice 2015:

– Further expansion and implementation best practices for

ABDR

(7)

Analytics Big Data Repository (ABDR)



A new and innovative concept!



A unified layer that can supports multiple use-case

and multiple analytics systems



Key Benefits:

– Avoiding data replications

– Saving in ETL costs & time

– Savings in hardware (storage & processing power)

–

Faster time to implement new use-cases

(8)

CSP View



Moving into Big Data, and using a unified

Analytics Big Data Repository:

– Why is this project Important?

– Why is it innovative?

– How it will be used…

– Who will use it? …

– Needs for standards

– Benefits / ROI …

(9)

9

Data Inventory (Nice 2014)

Analytics Big Data Repository (San Jose 2014)

Tool 1 Use Cases 1-3 Tool 2 Use Case 4,6,8 Tool 3 Use case 5 Tool 4 Use case 6

Big Data Analytics Guide Book (Use Cases)

XDRs DPI CRM Social Media

Churn Prevention Revenue Assurance Fraud Management Customer Experience

(10)

Use Case (BAE Systems)



Forecast and monitor impact of investment in

network upgrades and marketing programs

– Predict and forecast customer value paths

– Plan the network according to margin

management

– Acquiring network, consumer and external data

– Customer lifetime value and influence scoring

– Location prediction and profiling

(11)

Use Cases (cVidya)



– Revenue Assurance

– Fraud Management



Marketing Analytics

– Personalized offers

based on usage



Mapping the

required data

sources

(12)

Use Cases by NetCracker



Marketing and Offer Management

– Real-time Personalized Offers Based on Usage



Customer Relationship Management

– Personalization

of Real-Time

Interaction in

Assisted Care

– Proactive Care

(13)

Use Cases (ParStream)



– M2M vehicle data

– Call failure data



Customer Relationship

Management

– M2M monitoring

– Fault analytics



Supply Big Data

Platform

(14)

Planned Outcomes



New!

Define and develop an innovative approach

for a unified

Analytics Big Data Repository

(ABDR)



Developing new and validating existing big data

analytics use cases as defined in GB-979-A, and

as part of TM Forum Frameworx



Use cases are created and

demonstrated in commercial

products

(15)

Benefits for CSPs



Enabling CSPs faster deployment, implementation,

and ROI from their Big Data Analytics initiative:

– Enabling re-use of data for multiple

use cases and systems

– Validating and demonstrating

real life big data analytics

infrastructure and use cases

in a commercial software

– Mapping and predefining the

required data for each use case

(16)

Frameworx Contribution



Creating a new and innovative

concept for a unified Analytics

Big Data Repository (ABDR)



Initiate work to further develop

ABDR as a sub-project of the

big data analytics team



New use cases for GB979



Validation and demonstration of

the best practices and use cases

in GB979

(17)

What CSPs are saying…

“Service providers preside over a goldmine of data, and big data analytics is becoming an important asset and competence. Yet how to fully extract its value is still a challenge. We are pleased to support the TM Forum's Big Data Guidebook and Catalyst project, which will help us to make a leap forward in extracting the value of big data analytics.”

- Lifen Zhao, Project Manager, China Mobile

(18)

What CSPs are saying…

“The harmonizing of Big Data in defined and unique ways are becoming an ever increasing asset as we’re leveraging data to

create and support emerging opportunities. Our involvement in the catalyst project establishes the importance of unified Analytics Big Data Repository, key analytics, and use cases vehicle to achieve increased value, revenue assurance, performance effectiveness and continuous improvement programs.”

− Terrence Phillips, Internal Customer Analytics, Cox Communication

(19)

What CSPs are saying…

“Building on the foundation of the TM Forum’s Big Data Analytics Guidebook, the Analytics Big Data Repository(ABDR) provides for a unified layer of use case and analytics agnostic constructs that will help contribute to faster Big Data implementations, resulting in overall reduced costs. Faster implementations and reduced costs – all words that should make CSPs take note of this innovative catalyst.”

− Loreen Edkins, Director IT Architecture & Common Services, MTS Allstream

(20)

What CSPs are saying…

“ Orange is very interested in data analytics in order to increase efficiency of internal business processes and overall in order to improve omni-channels customer experience by putting it at 360 degrees and by personalizing and enriching it together with

guaranteeing privacy of its customers by providing personal data privacy dashboard. TMForum is the right platform to share best practices amongst all players and to capitalize on digital

transformation. The catalyst project demonstrates very promising unified Analytics Big Data Repository and some key analytics use cases.”

− Sophie Nachman, Standardization Manager, Orange

(21)

What CSPs are saying…

“Like most CSPs, the challenge for Verizon within the big data arena isn’t around the collection of the data – it’s about being able to drive value from that data to better meet our customers’ specific needs and drive customer satisfaction. Using the

Analytics Big Data Repository (ABDR) as a foundation and a set of reusable use cases defined in the TM Forum Frameworx, we see a cleaner, streamlined path to gaining incredible value from the wealth of customer, network, and external data managed within our systems.”