The Future of Customer Analytics (by Timo Elliott)

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  • The Future of Customer Analytics Timo Elliott, Jan 30, 2014 Public

  • 2014 SAP AG or an SAP affiliate company. All rights reserved. 3 Public

    Our customers

    produce more than

    65% of the coffee and tea we drink each day

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    Our customers

    produce more than

    70% of the worlds chocolate.

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    Our customers

    produce 64% of the worlds ice cream.

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    Our customers

    produce more than

    72% of the worlds beer.

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    [email protected] @timoelliott timoelliott.com

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    Customer Analytics Trends

  • 73% of people surveyed wouldnt care if the brands

    they use disappeared from their life.

    Source: Co.Exist

  • Millennials trust strangers over family and friends. They lean

    on User-Generated Experiences for purchase decisions.

    Source: Brian Solis Future of Business, 2013

  • 70% of buying experiences are based on how the customer

    feels he or she is being treated.

    Source: McKinsey

  • More than 70% of customers surveyed believe small businesses

    understand their customer better than large companies, know

    their business/product better than large companies, provide a

    more personal customer service experience than large

    companies and are more concerned about my needs than

    larger companies.

    Source: : American Express Global Customer Service Barometer, 2012

  • On average, loyal customers are worth up to 10 times as

    much as their first purchase.

    Source: White House Office of Consumer Affairs

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    Big Disruptions Ahead

    Source: Forrester Research

  • 80% of CEOs think they deliver a superior customer

    experience

    Source: The New Yorker

    -- but only 8% of customers agree.

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    The #1 Use of Big Data is Customer Analytics

    Source: McKinsey

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    Which Business Decisions Benefit Most From Big Data?

    Source: McKinsey

    Market opportunity and segmentation

    Customer retention

    Products and service mix

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    What Is Big Data? The Google Summary

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    Big Data is at Peak of Inflated Expectations

    but BI & Analytics still #1 Technology priority

    for 2014

    Source: Gartner

  • By 2017, there will be close to $11 Billion in revenue from

    35-million homes using home automation platforms

    across the globe.

    Source: GIGAom, 2013

  • Wearable devices have grown by 2x month over month

    since October 2012.

    Source: Mary Meekers Internet Trends, 2013

    Photo: Intel Free Press

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    The Datification of Daily Life

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    Well put more computers in our

    laundry in a week

    than weve used in our lifetime so far

    Gartner

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    The Datification of Daily Life

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    Put Lego here the nice lego flash file!

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    The Datification of Daily Life

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    The Datification of Daily Life

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    Discover Hidden Trends

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    You Are Being Watched

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    Is Your TV Spying On You?

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    Spy Chips?

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    Edward James Snowden

    Edward Joseph Snowden

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    Information becomes what you sell

    i

    i i

    Business

    ownership

    Business

    ownership

    IT

    ownership

    IT

    ownership

    HBR: Analytics 3.0

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    Predictive

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    Understanding Customers

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    Barclays

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    Track Who Likes Your Products (And Why, And When)

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    Social Analytics

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    Orange Poland (Telekomunikacja Polska)

    Churn model accuracy

    improved by 47% with

    social

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    Data-driven decision making played a huge role in creating a

    second term for the 44th

    President. In politics, the era of big

    data has arrived. - Time Magazine

    Engage Your Fans

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    What, When, and Where

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    Optimizing Sales

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    Deliver The Right Offer To the Right Customer

    At The Right Time

    Modeling time from 3 months to 3 days

    Up to 4x increase in campaign response rates

    From product to customer marketing

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    Add Customer Value in Real-Time

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    Coinstar

    Inventory

    Optimization

    Real time Offers

    Servicing

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    Optimize The Customer Experience With Playnomics

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    Perfect Your Pricing and Packaging

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    Personalized Offer Testing

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    Customer Experience

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    Reinvent Luxury Service

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    Be A Trusted Advisor

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    SAP Fashion Retail Brand Insight

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    Experience Intelligence

    Center

    Experience Intelligence

    Center

    Event Interception

    Business Transformation

    Make People Happy

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    Make People Happy

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    Mapping stores on STM lines

    and stations

    STM Partners stores.

    Create a Commerce Eco-System

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    Interact with consumer in the field Run mobile marketing campaigns based

    on consumer profile and location

    Interact with consumer in real-time anywhere, anytime.

    Design & run mobile marketing campaigns based on consumer profile and location

    Analyze consumer behavior in the field

    Create a Commerce Eco-System A platform for real-time interactivity between consumers, STM and partners

    SAP Precision Retailing (On-Demand, Multitenant, High Performance, Scalable)

    Receive information, discounts & Special offers

    BI

    CRM

    Merchants

    Outings

    Transports

    Partners

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    A Personalized, Multi-Vendor Customer Experience

    Valid at this time

    For my profile (segments)

    In the store(s) nearby

    Eligible offers

    Top x

    What time is it ?

    Where am I?

    What is my personal profile?

    What is my CRM profile?

    Select Rate & Order Deliver & Learn

    What are my preferences ?

    Where am I?

    What is my personal profile?

    What is my CRM profile?

    The rating is based on the

    learning engine and on the

    characteristics of the shopping

    context, the consumer

    preferences, and the frequency

    of presentation.

  • 2014 SAP AG. All rights reserved. 71

    Omni-Channel Retailing

    ERP Warehouse PLM CRM Data Pools Suppliers

    BACK OFFICE

    master data

    platform

    omni-channel logic order orchestration

    omni-channel

    touch points

    FRONT OFFICE

    TV console POS mobile call

    center print social Web

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    Advanced personalization

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    Sharing Analytics With Your Customers

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    What Do These NBA Players Have in Common?

    D.J. Mbenga

    Tony Parker

    Xavier Henry

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    Engage Your Fans

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    Sailing

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    Superbowl Predictions

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    Engage Your Citizens

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    Engage Your Students

    In the past five years, taxpayers have spent $9Bn on college students who

    drop out before year two

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    Learn Then Act Saving 1% in Student Retention can save my Universitys bottom line $1M a year

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    Make Yourself Invaluable

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    Data To Partners

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    Fleet Management Customers

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    Aggregate Insights

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    Conclusion

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    Technology is Important But Its Not About Technology

    The stone age was marked by man's clever

    use of crude tools; the

    information age, to

    date, has been marked

    by man's crude use of

    clever tools.

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    Innovation And Design Thinking

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    Unwire your business to deliver secure, real-time, business-critical information anytime, anywhere, to anyone, on any mobile device.

    Run your business smarter, faster,

    and simpler, with an integrated suite

    of applications powered by SAP

    HANA delivering long-term predictability and nondisruptive

    innovation.

    Applications

    Explore and exploit data, find

    answers in real time, and make

    confident decisions. Harness

    visually compelling, easy-to-use

    tools on the devices of your

    choice.

    Analytics

    Mobile

    Simplify your IT infrastructure dramatically and drive high-value innovation by exploiting

    across structured and unstructured data sources.

    Database & Technology

    A real-time business platform, powered by SAP HANA

    Our portfolio combines the best of next-generation

    technology to help you innovate, transform and grow

    Capture the power of the cloud while fully integrating with on-premise investments. Empower your employees, engage customers, and collaborate with partners across business networks.

    Cloud

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    Thank you!

    Timo Elliott, SAP

    [email protected]

    Twitter: @timoelliott

    Blog: timoelliott.com

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    Product links

    Products are linked because

    they are bought by common

    customers

    The relationships can be

    analysed using

    community

    detection