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Big data and the consumer experience cloud expo 2013, salta clara convention center, 06 nov 2013

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Big Data and the Consumer Experience New developments in Cloud technologies have revolutionized the way organizations interact with their customers. Today it is all about Consumer experience, Consumer insights, Consumer behavior, Consumer Journey. The fact that many of the vendors with marketing product stacks have all rechristened their offerings under the “Consumer Experience” banner is. With rich media, the very focus of digital marketing and commerce has shifted from product-centric to consumer centric. Cloud computing has enabled the global access for consumers across the world – for the right person, at the right time, and the right content. The side effect of this is consumers are more empowered and therefore have much higher expectations. And the omni-channel nature of basic consumer interaction leads to very high demands on the ability to consume, analyze, and repurpose data to deliver a much more personalized consumer experience. Without the advancement in Big Data technologies, this would quickly become an infeasible and unmanageable situation. This session focuses on the application of Big Data to the business of digital commerce and marketing leading to digital transformations in the enterprise, with real-world examples. As with any new technology, the challenge is to leverage and apply it appropriately to specific scenarios in the industry. Some situations require aggregating data from multiple sources and repurposing consumer data to lead to better offers and recommendations for sales. Others require leveraging the information gathered from implicit consumer interaction with information from other digital touch points to create a 360 degree view of the consumer. All of these require decisions such as segmentation of data across brands, business units, markets, and products, as well as technology choices and on premise and off premise solutions for managing the data.

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Page 1: Big data and the consumer experience   cloud expo 2013, salta clara convention center, 06 nov 2013

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Page 2: Big data and the consumer experience   cloud expo 2013, salta clara convention center, 06 nov 2013

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About Ajit

• Associate Vice President, Digital Transformation, Infosys Limited

• Founding Editor of XML Journal

• J2EE Editor of Java Developer’s Journal/SOA Journal

• 125+ articles

• 20+ conferences, US and international

• 20+ years in IT and Marketing

I have a collection of 20,000+ comic books

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Χ Cloud infrastructure

Χ Big data technologies

Χ APIs and design patterns

Χ Java, XML, .NET, HTML5, …

Χ The answer to life, the universe, and everything (cause we all know it is 42)

About this session

Digital trends

The digital consumer

Omni-channel commerce

Cloud enabled marketing

Big data enabled analytics

Delivering customer experience

Positive I won’t cover I will cover

I hope to make this session informational, interactive, and entertaining

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© spacenerdsgroove.com http://spacenerdsgroove.com

It can’t do your homework

I WISH HE WOULD STOP OVERHEARING

MY CONVERSATIONS

DAD, I HAVE TONS OF HOMEWORK. CAN

SOLVE MY MATH PROBLEMS?

SO IT’S ANOTHER PIECE OF USELESS

TECHNOLOGY!!

BIG DATA IS NOT

MEANT TO DO

HOMEWORK.

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Digital Trends

Predictive Analytics

Actionable Insights

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Digital projections

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So what’s the Big Deal about Big Data?

Volume

Velocity

Variety

Insights

Intelligence

Virtualization

Veracity

Validity

Value The problem The solution The outcome

Big Data are high-volume, high-velocity, and/or high-variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization - Gartner

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3 Enablers

• Massively Parallel Processing (MPP) • In-database processing • In-memory analytics

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Technologies NoSQL Databases MongoDB, CouchDB, Cassandra, Redis, BigTable, Hbase, Hypertable, Voldemort, Riak, ZooKeeper

MapReduce Hadoop, Hive, Pig, Cascading, Cascalog, mrjob, Caffeine, S4, MapR, Acunu, Flume, Kafka, Azkaban, Oozie, Greenplum

Storage S3,Hadoop Distributed File System

Servers EC2, Google App Engine, Elastic, Beanstalk, Heroku

Processing Yahoo! Pipes, Mechanical Turk, Solr/Lucene, ElasticSearch, Datameer, BigSheets, Tinkerpop

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The Yin and Yang of Digital Enterprise

Build the brand

Promote the Brand

Preserve the Brand

Promote loyalty

Sell the product

Manage the order

Serve the customer

Promote Loyalty

Digital Marketing

Digital Commerce

It’s all about the experience consumer

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Targeting the digital consumer

Digital Commerce

Digital Marketing Consumers

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Five recent enablers

Integrated Applications Deliver a seamless

experience across channels and functions

Actionable Intelligence

Valuable data to drive new levels of targeting, personalization, and

measurement enabled by

technologies

Smart Devices Connect consumers anywhere,

anytime to the things they need and want

Enabling Infrastructure

virtual, open, scalable

and secure to create a timely, consistent experience

Partner Ecosystem Focus on consumer experience

through Innovative collaboration to satisfy consumer expectations

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© spacenerdsgroove.com http://spacenerdsgroove.com

Too much Sass!

DAD, WHAT IS SAS? I REMEMBER YOU

TELLING ME NOT TO GIVE YOU ANY.

ARE YOU SAYING I’M TOO SASSY FOR YOU?

SAAS IS SOFTWARE-AS-A-SERVICE

OFFERED ON THE

NOT TO BE CONFUSED WITH YOUR SASS, WHICH DESCRIBES IMPERTINENT BEHAVIOR

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Why Cloud and Big Data?

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Why Cloud and Big Data?

multiple

Digital touch points

challenges in

Global access

Challenge in tracking

Campaign effectiveness

immeasurable

ROI Insufficient support for

Agility Incomplete understanding of

Consumer Behavior

Lack of

Data Privacy

Unable to build

Loyalty

slow

Responsiveness

unsupportable

Volumes

unmanageable

Content

unmanageable

Social Community Inability to meet

Customer Expectations

missing

Consumer Context

risk due to lack of

Compliance

unpredictable

Traffic

missing

Consumer Commitment

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Personalized Campaigns

Multichannel Reach

Social Collaboration

Ubiquitous Virtual Stores

Superb Buying

Experience

Order management

Actionable Consumer

Insights

Reaching the digital customer

16

The Digital Enterprise

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17 The Digital Consumer Journey

EVALUATE

Reviews Word of Mouth

Engagement

EXPERIENCE

Sentiment Post-purchase Research

Validation

CONSIDER

Discovery Brand Strength

Introduction

LOYALTY

Sentiment Commitment

Advocate

PURCHASE

BUY use

Experience

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The Digital Customer

Demographics

Needs

New running shoes

A hybrid car

6 pack abs

Time since last purchase

Facebook/Twitter

Browsing history

Interests

Racquetball sports

Marathon running

Science fiction

Cooking

Wii games

iPad apps

Connections & Influences

Family

Social

Buying Behavior

Brand conscious

Loves gifting

Likes deals

Male, 40 years

Lives in Chicago

Married

Home Loan

Twitter

Blogs

Facebook

Wife

Daughter

Son

Customer

Kids aged 6 & 9

Friends University

Office

Wish list

@2013 Infosys Limited

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Identified consumer • Explicit interactions with a digital channel

– such as information captured through registrations, surveys, coupons, etc.

• The Customer is known to the channel in a secure manner

• Information about the Customer includes PII, profile, preferences, etc.

Anonymous consumer • The Customer’s behavior is interpreted

through his or her implicit interactions with the digital channel

• The Customer’s identity is not known through these interactions

• The Customer is known at an aggregate level as a part of a Customer segment

The 3600 view

The combination of these personas gives the of the customer 3600 view

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The digital customer identity

Big Data Analytics

Personalization

Segmentation

Actionable Insights

Recommendations

Digital delivery

Content

Single sign-on

Shared services, components

Unified Profile Store

Social Listening, sentiment

analysis

Offline feeds (Neilsen, IRI) Customer

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Marketing

Promote Sell Support

Commerce

Systems

Data

Insi

ghts

Omni Channel Delivery

Hosting

Desktop Tablet Mobile Social In-store Kiosk Call Center Print

Dig

ita

l arc

hite

ctu

re

@2013 Infosys Limited

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Big

Da

ta Im

ple

me

nta

tio

n

@2013 Infosys Limited

• Data acquisition • Data quality • Standardization and cleansing

• Proactive BI • Predicative BI • Machine-learning based analytics

• Multi-channel display • Configurable UI • Comprehensive analytics

Data analysis

Business Intelligence

Visualization

Acquisition & Integration

• Historical and operational data stores • Ability to process large data volumes

• Structured/unstructured data • Traditional/digital media • External/enterprise systems • Real-time/batch

Data sources

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How does big data drive a rich

consumer experience?

Right information at the

Right time for the

Right consumer at the

Right place

Right offer at the

Right time at the

Right location with the

Right context

Delivering through all the

digital touch points to the

same consumer, one that

you know very well

Leveraging

The Internet CLOUD and BIG DATA ANALYTICS

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© spacenerdsgroove.com http://spacenerdsgroove.com

It’s all relative

THIS IS SURREAL AND DEFINITELY

WEIRD

DAD ARE WE PRESENTING ON

AT A REAL CONFERENCE?

I’M THE ONE WHO’S BEEN DOING ALL THE WORK. I AM

A REAL LIFE TEEN IN A DIGITAL CARTOON AT A

CONFERENCE!!

I AM PRESENTING AT A CONFERENCE.

YOU ARE A DIGITAL

MANIFESTATIO

N OF MY IMAGINATION

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Delivering Consumer Experience

@2013 Infosys Limited

Clie

nts

3600 consumer view 3600 consumer view