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LEAD-TO-CASH:
THE VALUE
OF BIG DATA
AND ANALYTICS
FOR TELCO
ENTITY WHITE PAPER
ENTITY WHITE PAPER ENTITY GROUP ADVISORY SERVICES
THE CHALLENGE OF THE DIGITAL AGE
Life in the Information Age continues to accelerate. The digital world is
changing the rules, and telecommunications service providers are having
to evolve from being process and account-oriented to focusing firmly on
the individual. By combining products and plans, service providers are able
to offer increased flexibility through unique customer journeys to service
an increasingly competitive double, triple and quadruple-play market. But
with this flexibility comes massive complexity and an exponential growth
in data volumes.
Successful operators are the vanguard of the digital world – adapting to meet the demand
for individually tailored packages of services. Each of the component services must continue to
demonstrate innovation – to outclass the competition, and to do so at ever an increasing pace.
While struggling to keeping pace in its fast-moving markets, telcos face a nexus of additional
pressures, including:
• 	 Stringent legal and regulatory requirements
•	 Increasing costs in developing and maintaining technical infrastructure
(people, equipment and fleets), and
•	 Demand for a highly resilient ‘always on’ service.
All whilst continuing to increase revenues, reduce operational costs and ensure that VIPs are
treated with the due care and attention they demand and deserve. A lot of challenges in a
highly competitive sector that are compounded by other disruptive technology - by 2018, telco
companies are set to lose a combined US$386 billion to over-the-top (OTT) voice applications such
as Skype and WhatsApp1
.
For C-Suite Executives, the revenue imperative from investment in Big Data and Analytics is clear.
The promise of Big Data and Advanced Analytics
•	 Over 7.4 billion mobile devices
•	 69% increase in global mobile data traffic in 2014, and
•	 An expected seven-fold increase in mobile data traffic by 2018 2
For the telco industry, Big Data is already here - real time and near real time analytics on large and
overlapping data sets - and with it comes big opportunity as it continues to grow exponentially.
Telecommunications companies are uniquely positioned to capitalise on this opportunity. They
are at the epicentre of the communications industry, control its underlying infrastructure and are
awash with data on how customers use, interact with and buy their products. The challenge now is
how to unlock the power and potential of these strategic assets.
2
LEAD-TO-CASH: THE VALUE OF BIG
DATA AND ANALYTICS FOR TELCO
“The most
meaningful way to
differentiate your
company from the
competition, the best
way to put distance
between you and the
crowd, is to do an
outstanding job with
information. How you
gather, manage and
use information will
determine whether
you win or lose.”
Bill Gates
ONS
1. http://fortune.com/2014/06/23/telecom-companies-count-386-billion-in-lost-revenue-to-skype-whatsapp-others/
2. http://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/white_paper_c11-520862.html
ENTITY GROUP ADVISORY SERVICES ENTITY WHITE PAPER
3
MANAG
Obstacles to implementation
The potential for this technology for telecommunications companies is huge but its adoption will
not come without challenges.
Data Silos
As in many industries, telecommunications companies have suffered from having to respond to
pressures of growth, business and technology change. As a result, data has typically been defined
at the business unit or department level (sales, network engineering, billing etc). Unfortunately,
this approach has led to siloed information strategies, siloed solutions and data that contains gaps,
duplications and errors. To be ready for Big Data, telcos must first put their houses in order.
Enterprise Information Architecture
Service providers need to extract insight from a great variety of data (voice, messages, GPS,
location, field service, change management, customer care, connected devices, social media etc);
data that is operating at different speeds. This information must be leveraged, often in real-time,
to achieve business objectives such as improving the customer experience.
Furthermore, legacy customer and operational information must be aggregated and processed
using new tools, whilst ensuring data quality, accessibility and security across existing solution
ecosystems for regulatory compliance.
Without an effective enterprise architectural vision in place that meets the complexity of these
requirements, telcos cannot capitalise on the competitive advantage that Big Data brings.
Enterprise Thinking
Big Data requires integration of information from different divisions, departments and systems
across the enterprise. This involves each of those divisional and department heads and the system
owners subscribing to a single corporate vision. It is often very difficult for a group of people, each
with their own interests at heart, to agree on a common objective and the roadmap to the wealth
of benefits that can be achieved.
In a sector characterised by a lifecycle of global mergers, acquisitions, divestitures and expansion
into multiple media markets, this challenge cannot be understated.
4
ONS
Key Business Drivers
Enterprise Information Management provides the bedrock principles for Big Data and
Analytics to succeed. It is the discipline of treating data as an Enterprise Asset - and - enabling
the enterprise to capitalise on that asset.
For each strategic information management initiative, telcos must identify key business
drivers, gain executive sponsorship, and develop a business case that will deliver quantifiable
ROI. Business drivers for telcos can be expressed in numerous ways, and are often
interrelated:
Realising the benefits
The potential of Big Data and Analytics comes with a profound challenge: Trust.
•	 Have I the right quality of data to run my organisation efficiently?
•	 How can I manage and combine the ever-increasing amount of data and have
confidence in the result?
•	 Can I measure and improve data quality?
Sounds familiar?
Success rests upon true Executive recognition of the importance of data as an organisational
asset. Telcos executives now recognise that in order to succeed, they need to weave
information management strategies, policies, procedures and solutions throughout the fabric
of their operation so that raw data becomes timely, relevant and actionable information.
TELECOMMUNICATIONS - BUSINESS DRIVERS
New products and services derived from analysis of customer behaviour
and sentiment.
Enhanced and responsive customer service and package configuration.
Management of the customer experience based on cost-to-serve, value and
relationship status.
Focused targeting of marketing campaigns towards individuals.
Real-time network optimisation for improved routing and for maximising
the quality of service.
Streamlined error diagnosis and problem management.
Effective and efficient deployment of maintenance vehicles and personnel.
Sophisticated detection of fraud and misuse of services.
Revenue generation from new sources, such as selling insights about customers
to third parties.
ENTITY WHITE PAPER ENTITY GROUP ADVISORY SERVICES
5
Information Management Strategy
The purpose of the Information Management Strategy is to define an Information
Architecture and strategy that meets the needs of your business as it changes.
Once the strategy is understood and agreed, an optimal roadmap is identified for deriving
the most business benefit from your information management projects as they are
implemented incrementally. The objective is to quickly provide recommendations on areas
where possible improvements could be made based on strategic goals/drivers.
MANAGEME
Figure 1 - Enterprise Information Management Model - 2015 Entity Group Ltd.
ENTITY GROUP ADVISORY SERVICES ENTITY WHITE PAPER
ENTITY’S APPROACH
Entity’s approach for Enterprise Information Management (EIM) orchestrates people, process and
technology to deliver outcomes that have a direct correlation to strategic objectives. The following
model represents this approach.
The layers of the triangle represent the ‘principles’ of successful information management along
with their constituent data concerns (shown inside the triangle) and, towards the right, the
capabilities delivered by addressing these data concerns.
The model exposes how to extract value from solutions such as Big Data, BI and Analytics (bottom
layer), by taking into account all of the concerns above.
Our model allows for a structured approach to data governance and information management
strategy; provides a blueprint for the design of Enterprise Information Architecture into which
each strategic initiative should fit; enables a clear understanding of different data domains
(reference data, customer master data, Big Data etc) and their role in data management; and
allows for a considered process for Information Lifecycle Management across the enterprise as
data is used, creates value, and is discarded.
Along the journey, various types of capability are established, and the business benefits become
realised (as shown on the right of the model).
DATA
GOVERNANCE
OWNERSHIP
ORGANISATIONAL
GOVERNANCE
ORGANISATIONAL
STRATEGY
DESCRIPTION
QUALITY
ACCESS
USAGE & SHARING
CONTROL &
IMPLEMENTATION
MODELLING,ARCHITECTURE,
METADATA, CATALOGUING
COMPLETENESS,ACCURACY
AND INTEGRITY OF DATA
DATA STORAGE, PRIVACY
AND SECURITY
INTEGRATION, INTEROPERABILITY,
SOCIAL MEDIA AND OPEN DATA
MANAGEMENT OF METADATA, CATALOGUES,
REFERENCE DATA AND MASTER DATA
DOCUMENT AND CONTENT MANAGEMENT, DATA WAREHOUSE, BI AND ANALYTICS,
TRANSACTION MANAGEMENT (ERP, CRM etc),AUDIT DATA, BIG DATA
BUSINESS
CAPABILITIES
ARCHITECTURAL
CAPABILITIES
TECHNICAL
CAPABILITIES
OPERATIONAL
CAPABILITIES
6
Telco specialist knowledge
Entity staff are highly experienced in developing Enterprise Information Management
solutions for the Telco sector. Our teams have worked with a wide range of companies from
large multinational groups to monopolistic national incumbents to start-ups. Entity staff have
covered the breadth of service portfolios including wireline, wireless fixed, wireless mobile,
cable, internet, digital media, converged multi-play solutions and international interconnect.
Companies include:
Entity staff have implemented solutions that enable analytics of data in large volumes,
sometimes in real-time. In doing so, we have helped clients to improve customer service,
billing performance, revenue leakage, fraud prevention, operational efficiency and real
cost savings.
Experience includes:
GROUP CO’s	
AT&T, BT, Belgacom, Vodafone,
Cable & Wireless, Qtel	
OP CO’s
Vodafone Ireland, Bahamas Telecom,
Maroc Telecom, FastLink (Zaine),
Tunisiana (Ooredoo), Lime
SOLUTION	
Use of analytics to manage customer
experience, balancing cost-to-serve
against revenue generation.
Use of data mining and analytics,
combined with intelligence from
customer interactions, to manage the
complex network of VIP customer
relationships.
Use of Big Data techniques to manage
high volumes of call data records in near
real-time.
Use of Operational Data Store and
Analytics combined with Business
Service Monitoring to provide real-
time end-to-end customer experience
monitoring.
Single-source-of-truth (Master Data
Management) and intelligence for a
large telco group during and following
merger and acquisition of new
operating companies.
Development of data models and
processes based on industry frameworks
such as TMF Frameworx (encompassing
eTOM, SID and TAM) and ITU.
BUSINESS OUTCOME
The most lucrative customers received
appropriate customer service
experience.
VIP and VVIP subscribers experienced
significantly shorter waiting times
and more direct routes through the
interactive voice response (IVR) system.
Complex regulatory reporting achieved
for the first time.
Insight in real-time how the customer
experience was affected by technical
challenges in network, OSS, BSS and VAS
systems.
Enhanced data quality for improved
decision making.
T SOLUTIONS
ENTITY WHITE PAPER ENTITY GROUP ADVISORY SERVICES
Entity House
980 Cornforth Drive
Kent Science Park
Sittingbourne
KENT ME9 8PX
United Kingdom
www.entity.co.uk
For more information please contact:
Entity Group Ltd
info@entity.co.uk
01795 415 800
www.entity.co.uk
ENTITY WHITE PAPER ENTITY GROUP ADVISORY SERVICES

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Lead to Cash: The Value of Big Data and Analytics for Telco

  • 1. LEAD-TO-CASH: THE VALUE OF BIG DATA AND ANALYTICS FOR TELCO ENTITY WHITE PAPER
  • 2. ENTITY WHITE PAPER ENTITY GROUP ADVISORY SERVICES THE CHALLENGE OF THE DIGITAL AGE Life in the Information Age continues to accelerate. The digital world is changing the rules, and telecommunications service providers are having to evolve from being process and account-oriented to focusing firmly on the individual. By combining products and plans, service providers are able to offer increased flexibility through unique customer journeys to service an increasingly competitive double, triple and quadruple-play market. But with this flexibility comes massive complexity and an exponential growth in data volumes. Successful operators are the vanguard of the digital world – adapting to meet the demand for individually tailored packages of services. Each of the component services must continue to demonstrate innovation – to outclass the competition, and to do so at ever an increasing pace. While struggling to keeping pace in its fast-moving markets, telcos face a nexus of additional pressures, including: • Stringent legal and regulatory requirements • Increasing costs in developing and maintaining technical infrastructure (people, equipment and fleets), and • Demand for a highly resilient ‘always on’ service. All whilst continuing to increase revenues, reduce operational costs and ensure that VIPs are treated with the due care and attention they demand and deserve. A lot of challenges in a highly competitive sector that are compounded by other disruptive technology - by 2018, telco companies are set to lose a combined US$386 billion to over-the-top (OTT) voice applications such as Skype and WhatsApp1 . For C-Suite Executives, the revenue imperative from investment in Big Data and Analytics is clear. The promise of Big Data and Advanced Analytics • Over 7.4 billion mobile devices • 69% increase in global mobile data traffic in 2014, and • An expected seven-fold increase in mobile data traffic by 2018 2 For the telco industry, Big Data is already here - real time and near real time analytics on large and overlapping data sets - and with it comes big opportunity as it continues to grow exponentially. Telecommunications companies are uniquely positioned to capitalise on this opportunity. They are at the epicentre of the communications industry, control its underlying infrastructure and are awash with data on how customers use, interact with and buy their products. The challenge now is how to unlock the power and potential of these strategic assets. 2 LEAD-TO-CASH: THE VALUE OF BIG DATA AND ANALYTICS FOR TELCO “The most meaningful way to differentiate your company from the competition, the best way to put distance between you and the crowd, is to do an outstanding job with information. How you gather, manage and use information will determine whether you win or lose.” Bill Gates ONS 1. http://fortune.com/2014/06/23/telecom-companies-count-386-billion-in-lost-revenue-to-skype-whatsapp-others/ 2. http://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/white_paper_c11-520862.html
  • 3. ENTITY GROUP ADVISORY SERVICES ENTITY WHITE PAPER 3 MANAG Obstacles to implementation The potential for this technology for telecommunications companies is huge but its adoption will not come without challenges. Data Silos As in many industries, telecommunications companies have suffered from having to respond to pressures of growth, business and technology change. As a result, data has typically been defined at the business unit or department level (sales, network engineering, billing etc). Unfortunately, this approach has led to siloed information strategies, siloed solutions and data that contains gaps, duplications and errors. To be ready for Big Data, telcos must first put their houses in order. Enterprise Information Architecture Service providers need to extract insight from a great variety of data (voice, messages, GPS, location, field service, change management, customer care, connected devices, social media etc); data that is operating at different speeds. This information must be leveraged, often in real-time, to achieve business objectives such as improving the customer experience. Furthermore, legacy customer and operational information must be aggregated and processed using new tools, whilst ensuring data quality, accessibility and security across existing solution ecosystems for regulatory compliance. Without an effective enterprise architectural vision in place that meets the complexity of these requirements, telcos cannot capitalise on the competitive advantage that Big Data brings. Enterprise Thinking Big Data requires integration of information from different divisions, departments and systems across the enterprise. This involves each of those divisional and department heads and the system owners subscribing to a single corporate vision. It is often very difficult for a group of people, each with their own interests at heart, to agree on a common objective and the roadmap to the wealth of benefits that can be achieved. In a sector characterised by a lifecycle of global mergers, acquisitions, divestitures and expansion into multiple media markets, this challenge cannot be understated.
  • 4. 4 ONS Key Business Drivers Enterprise Information Management provides the bedrock principles for Big Data and Analytics to succeed. It is the discipline of treating data as an Enterprise Asset - and - enabling the enterprise to capitalise on that asset. For each strategic information management initiative, telcos must identify key business drivers, gain executive sponsorship, and develop a business case that will deliver quantifiable ROI. Business drivers for telcos can be expressed in numerous ways, and are often interrelated: Realising the benefits The potential of Big Data and Analytics comes with a profound challenge: Trust. • Have I the right quality of data to run my organisation efficiently? • How can I manage and combine the ever-increasing amount of data and have confidence in the result? • Can I measure and improve data quality? Sounds familiar? Success rests upon true Executive recognition of the importance of data as an organisational asset. Telcos executives now recognise that in order to succeed, they need to weave information management strategies, policies, procedures and solutions throughout the fabric of their operation so that raw data becomes timely, relevant and actionable information. TELECOMMUNICATIONS - BUSINESS DRIVERS New products and services derived from analysis of customer behaviour and sentiment. Enhanced and responsive customer service and package configuration. Management of the customer experience based on cost-to-serve, value and relationship status. Focused targeting of marketing campaigns towards individuals. Real-time network optimisation for improved routing and for maximising the quality of service. Streamlined error diagnosis and problem management. Effective and efficient deployment of maintenance vehicles and personnel. Sophisticated detection of fraud and misuse of services. Revenue generation from new sources, such as selling insights about customers to third parties. ENTITY WHITE PAPER ENTITY GROUP ADVISORY SERVICES
  • 5. 5 Information Management Strategy The purpose of the Information Management Strategy is to define an Information Architecture and strategy that meets the needs of your business as it changes. Once the strategy is understood and agreed, an optimal roadmap is identified for deriving the most business benefit from your information management projects as they are implemented incrementally. The objective is to quickly provide recommendations on areas where possible improvements could be made based on strategic goals/drivers. MANAGEME Figure 1 - Enterprise Information Management Model - 2015 Entity Group Ltd. ENTITY GROUP ADVISORY SERVICES ENTITY WHITE PAPER ENTITY’S APPROACH Entity’s approach for Enterprise Information Management (EIM) orchestrates people, process and technology to deliver outcomes that have a direct correlation to strategic objectives. The following model represents this approach. The layers of the triangle represent the ‘principles’ of successful information management along with their constituent data concerns (shown inside the triangle) and, towards the right, the capabilities delivered by addressing these data concerns. The model exposes how to extract value from solutions such as Big Data, BI and Analytics (bottom layer), by taking into account all of the concerns above. Our model allows for a structured approach to data governance and information management strategy; provides a blueprint for the design of Enterprise Information Architecture into which each strategic initiative should fit; enables a clear understanding of different data domains (reference data, customer master data, Big Data etc) and their role in data management; and allows for a considered process for Information Lifecycle Management across the enterprise as data is used, creates value, and is discarded. Along the journey, various types of capability are established, and the business benefits become realised (as shown on the right of the model). DATA GOVERNANCE OWNERSHIP ORGANISATIONAL GOVERNANCE ORGANISATIONAL STRATEGY DESCRIPTION QUALITY ACCESS USAGE & SHARING CONTROL & IMPLEMENTATION MODELLING,ARCHITECTURE, METADATA, CATALOGUING COMPLETENESS,ACCURACY AND INTEGRITY OF DATA DATA STORAGE, PRIVACY AND SECURITY INTEGRATION, INTEROPERABILITY, SOCIAL MEDIA AND OPEN DATA MANAGEMENT OF METADATA, CATALOGUES, REFERENCE DATA AND MASTER DATA DOCUMENT AND CONTENT MANAGEMENT, DATA WAREHOUSE, BI AND ANALYTICS, TRANSACTION MANAGEMENT (ERP, CRM etc),AUDIT DATA, BIG DATA BUSINESS CAPABILITIES ARCHITECTURAL CAPABILITIES TECHNICAL CAPABILITIES OPERATIONAL CAPABILITIES
  • 6. 6 Telco specialist knowledge Entity staff are highly experienced in developing Enterprise Information Management solutions for the Telco sector. Our teams have worked with a wide range of companies from large multinational groups to monopolistic national incumbents to start-ups. Entity staff have covered the breadth of service portfolios including wireline, wireless fixed, wireless mobile, cable, internet, digital media, converged multi-play solutions and international interconnect. Companies include: Entity staff have implemented solutions that enable analytics of data in large volumes, sometimes in real-time. In doing so, we have helped clients to improve customer service, billing performance, revenue leakage, fraud prevention, operational efficiency and real cost savings. Experience includes: GROUP CO’s AT&T, BT, Belgacom, Vodafone, Cable & Wireless, Qtel OP CO’s Vodafone Ireland, Bahamas Telecom, Maroc Telecom, FastLink (Zaine), Tunisiana (Ooredoo), Lime SOLUTION Use of analytics to manage customer experience, balancing cost-to-serve against revenue generation. Use of data mining and analytics, combined with intelligence from customer interactions, to manage the complex network of VIP customer relationships. Use of Big Data techniques to manage high volumes of call data records in near real-time. Use of Operational Data Store and Analytics combined with Business Service Monitoring to provide real- time end-to-end customer experience monitoring. Single-source-of-truth (Master Data Management) and intelligence for a large telco group during and following merger and acquisition of new operating companies. Development of data models and processes based on industry frameworks such as TMF Frameworx (encompassing eTOM, SID and TAM) and ITU. BUSINESS OUTCOME The most lucrative customers received appropriate customer service experience. VIP and VVIP subscribers experienced significantly shorter waiting times and more direct routes through the interactive voice response (IVR) system. Complex regulatory reporting achieved for the first time. Insight in real-time how the customer experience was affected by technical challenges in network, OSS, BSS and VAS systems. Enhanced data quality for improved decision making. T SOLUTIONS ENTITY WHITE PAPER ENTITY GROUP ADVISORY SERVICES
  • 7. Entity House 980 Cornforth Drive Kent Science Park Sittingbourne KENT ME9 8PX United Kingdom www.entity.co.uk For more information please contact: Entity Group Ltd info@entity.co.uk 01795 415 800 www.entity.co.uk ENTITY WHITE PAPER ENTITY GROUP ADVISORY SERVICES