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Hadoop Summit - 21 Telco Use Cases - Urbanski

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Hadoop Summit - 21 Telco Use Cases - Urbanski
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  • Hadoop Makes Shareholders Happy

    The World's Largest Telcos are Driving Business Performance with Hadoop at the Center of an Enterprise-Wide Modern Data Architecture Juergen Urbanski CEO, Tech Alpha Board Member Big Data & Analytics, BITKOM (German IT Industry Association)

  • Agenda

    Telco Data Management Challenges Hadoop Business Value 21 Telco Use Cases for Hadoop Network Infrastructure Service and Security Sales and Marketing New and Adjacent Business

    2

  • Telco Data Management Challenges

    Limited Insight: Schema On Write Data In Silos

    Limited Scale: Not Designed to Scale Not Affordable at

    ScalePhysicalInfrastructure

    Presentation &Application

    Data Access

    Data Management

    EngineeredSystems

    Shared Storage Systems

    OLTP OLAPTraditionalAnalytics =

    =

    3

  • Business Value of Hadoop

    Data Access Layer

    Data Management Layer

    Hadoop Core Capabilities:

    Broader Insights: Allows simultaneous access by and

    timely insights for all your users across all your data

    Irrespective of the processing engine, analytical application or presentation

    Enabled by schema on read and enterprise-wide pool of data

    Unlimited Scale: Allows to acquire all data in its original

    format and store it in one place, cost effectively and for an unlimited time

    Affordable and performing well into the 100+ petabyte scale

    =

    =

    4

  • A New Approach for Broader Insights

    HADOOPIterate over structure

    Transform and analyze

    Hadoop Approach Apply schema on read Support range of access patterns to

    data stored in HDFS: polymorphic access

    Batch Interactive Real-time

    Right Engine, Right Job

    In-memory

    Traditional Approach Apply schema on write Heavily dependent on IT

    Determine list of questions

    Design solution

    Collect structured data

    Ask questions from list

    Detect additional questions

    Single Query EngineSQL

    5

  • Compelling Economics Allow Scale

    0 5 10 15 20 25 30 35 40

    SAN

    EDW / MPP

    Engineered System*

    NAS

    HADOOP

    Cloud Storage

    MinMax

    Fully Loaded Cost per Raw TB DeployedUS$ 000s

    Hadoop Provides Highly Scalable Data Storage at 5% of the Cost of Alternatives

    36 to 180

    20 to 80

    12 to 18

    10 to 20

    0.250 to 1

    0.1 to 0.3

    * E.g., Oracle Exadata 6

  • Technical and Business Drivers

    7

    Foundation for a modern data architecture

    New data types

    Sensors

    Machine Generated

    Geolocation

    Documents, Email,

    Voice to Text

    Social Networks

    Web Logs, Click Streams

    Operational excellence E.g., Network Maintenance

    Compliance & Risk Mgt. E.g., Fraud Reduction

    Customer Intimacy

    E.g., 360o View of Customer

    New Business E.g., Data as a

    Product

    Business drivers

  • n Network capacity planning n Network upgrades n Network maintenance n Network performance management n Network traffic shaping

    21 Telco Use Cases for Hadoop

    8

    Use Case

    Network Infrastructure

    Function

    n Customer experience analytics n Contact center productivity n Field service productivity n Data protection and compliance n End-user device security

    Service and Security

    n 360-degree view of customer value n Personalized marketing campaigns n Upselling and cross-selling n Next-product-to-buy (NPTB) n Churn reduction

    Sales and Marketing

    n New product development n Actionable intelligence serving:

    l Advertisers l Merchants/retailers l Payment processors l Federal governments l Local governments

    New and Adjacent Business

    Network Care Sales

    New Biz

  • Hadoop in Network Infrastructure

    9

    Business Problem n Network capacity planning n Network upgrades n Network maintenance n Network performance management n Network traffic shaping

    n Hadoop is used to optimize the rollout of 4G coverage in time and space to match the likely pick-up in service revenue, allowing an operator to defer more than 10% of capex for the same resulting revenue.

    n Hadoop helped detect that only a small number of congested cable network nodes were responsible for the majority of churn, and could thus be prioritized for maintenance and upgrades.

    n Network function virtualization, software defined networking and unified all IP networks vastly increase the amount of machine and log data relevant for trouble shooting. Hadoop helps with root cause analysis and may even be used to reason on the data in real-time.

    Value Realized

    Network Care Sales

    New Biz

  • Hadoop in Service and Security

    10

    Business Problem n Customer experience analytics based

    on call detail records (CDRs) n Contact center productivity n Field service productivity n Data protection and compliance n End-user device security

    n With Hadoop, one operator detected that 25% of callers were contacting the call center merely to have their late fees on the monthly bill waived. Clearly a case for call deflection to interactive voice recognition and online self-service.

    n Contact center agents had insufficient ways of diagnosing what was wrong with customers, leading to many unnecessary truck rolls. Hadoop helped avoid these.

    n 3% of smartphones account for 10-15% of traffic because of malware (notably on Android phones) and some fair use violations. Hadoop helps detect that so operators can take remedial action.

    Value Realized

    Network Care Sales

    New Biz

  • Hadoop in Sales and Marketing

    11

    Business Problem n 360-degree view of customer value n Personalized marketing campaigns n Upselling and cross-selling n Next-product-to-buy (NPTB) n Churn reduction

    n Telesales revenue increase by 50% by tracking competitors web-sites visited and counter offers to products searched

    n +20% conversion rate increase by optimizing and personalizing the path-to-transaction

    n $1.65 ARPU increase for 1 million customers boosts topline by $20 million per year.

    n Reducing cable subscriber churn (cord cutting). Every 100,000 subscribers equates to customer lifetime value of $1 billion

    n Churn model quality increase n Price related churn down by 40%

    Value Realized

    Network Care Sales

    New Biz

  • Hadoop in New and Over-the-Top / Adjacent Businesses

    12

    Business Problem n New product development n Actionable intelligence serving:

    l Advertisers

    l Merchants/retailers l Payment processors l Federal governments

    l Local governments n Hadoop-as-a-Service

    n Telcos are well positioned to provide big data as a service to retail, hospitality and logistics customers. This can generate $50-100m in annual revenue for each medium-sized country.

    Value Realized

    Network Care Sales

    New Biz

  • Makes capital investments more efficient

    Leads to a better customer experience

    Lowers churn

    Increases conversions

    Strengthens security

    Opens up new markets

    Hadoop Drives Business Outcomes for the Worlds Telcos and Cable Companies!

    13

  • Questions? Email [email protected] for a copy of the presentation. LinkedIn: juergenurbanski Download 200-page BITKOM / Forrester Guide to Big Data Technologies (in German): http://www.bitkom.org/files/documents/BITKOM_Leitfaden_Big-Data-Technologien-Wissen_fuer_Entscheider_Febr_2014.pdf


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