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Page 1 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
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Page 2 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Big Data and Analytics in Retail and
Consumer Products
With Clarity Solution Group
Page 3 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Your speakers…
Eric Thorsen
General Manager, Consumer Products and Retail
Hortonworks
Duane Lyons
Practice Lead, Retail / CPG & Manufacturing
Clarity Solution Group
Page 4 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Agenda
Clarity and Hortonworks Partnership
Hortonworks Data Platform (HDP) overview
Consumer720 provided by Clarity Solution Group Overview
Summary / Call to action
Page 5 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Clarity and Hortonworks partnership
Focused on enabling organizations to leverage big-data for positive
business impact
•  Drive better business outcomes through data and analytics
•  Deliver unsurpassed client service
•  Create a thriving community of employees
•  Be the undisputed #1 specialist consultancy focused exclusively on
data and analytic solutions
Clarity Mission
Page 6 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Agenda
Clarity and Hortonworks Partnership
Hortonworks Data Platform (HDP) overview
Consumer720 provided by Clarity Solution Group Overview
Summary / Call to action
Page 7 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Traditional systems under pressure
Challenges
•  Constrains data to app
•  Can’t manage new data
•  Costly to Scale
Business Value
Clickstream
Geolocation
Web Data
Internet of Things
Docs, emails
Server logs
2012
2.8 Zettabytes
2020
40 Zettabytes
LAGGARDS
INDUSTRY
LEADERS
1
2 New Data
ERP CRM SCM
New
Traditional
Page 8 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Hadoop emerged as foundation of new data architecture
Apache Hadoop is an open source data platform for
managing large volumes of high velocity and variety of data
•  Built by Yahoo! to be the heartbeat of its ad & search business
•  Donated to Apache Software Foundation in 2005 with rapid adoption by
large web properties & early adopter enterprises
•  Incredibly disruptive to current platform economics
Traditional Hadoop Advantages
ü  Manages new data paradigm
ü  Handles data at scale
ü  Cost effective
ü  Open source
Traditional Hadoop Had Limitations
" Batch-only architecture
" Single purpose clusters, specific data sets
" Difficult to integrate with existing investments
" Not enterprise-grade
Application
Storage
HDFS
Batch Processing
MapReduce
Page 9 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Modern Data Architecture emerges to unify data & processing
Modern Data Architecture
•  Enable applications to have access to
all your enterprise data through an
efficient centralized platform
•  Supported with a centralized approach
governance, security and operations
•  Versatile to handle any applications
and datasets no matter the size or type
Clickstream	
   Web	
  	
  
&	
  Social	
  
Geoloca3on	
   Sensor	
  	
  
&	
  Machine	
  
Server	
  	
  
Logs	
  
Unstructured	
  
SOURCES
Existing Systems
ERP	
   CRM	
   SCM	
  
ANALYTICS
Data
Marts
Business
Analytics
Visualization
& Dashboards
ANALYTICS
Applications
Business
Analytics
Visualization
& Dashboards
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
HDFS
(Hadoop Distributed File System)
YARN: Data Operating System
Interactive Real-TimeBatch Partner ISVBatch Batch
MPP	
   EDW	
  
Page 10 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Agenda
Clarity and Hortonworks Partnership
Hortonworks Data Platform (HDP) overview
Consumer720 provided by Clarity Solution Group Overview
Summary / Call to action
Page 11 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Maximizing the Value of Social Media
#1 #2 #3
•  However, market leaders are already understanding the benefits of #3 and realizing tremendous competitive
advantage
•  Consumer720 focuses on allowing organizations to use social media to maximize the value of existing marketing
processes and technologies
Page 12 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
What is Consumer720?
‘Social + Enterprise ‘ allows for creation the ‘Database of Affinity’
•  Forrester defines the Database of Affinity as ‘A catalogue of people’s tastes and
preferences collected by observing their social behaviors’
•  ‘Affinity’ is different than ‘Intent’. A consumer may have a intent to purchase a stroller
because of a newborn child. While valuable to a marketer, it has a limited shelf life.
Knowing a consumers affinity for a brand, category, or something else is valuable long-
term
KeyBenefitsof‘Social+Enterprise’
•  #1 –Predicated upon permission-based access to
social profiles. The solution includes API’s to
connect with social sources for profile integration
•  #2 – Reusable data model to support social
sources and Database of Affinity
•  #3 – Sophisticated rules engine to determine
affinity attributes for individual consumers based
on their Facebook likes
•  #4 – Social segmentation models to support
targeted communications
Benefits
Page 13 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Solution Overview:
Clarity Solution Group offers a unique solution to Consumer720
•  Consumer 720 combines internal company data with external social media data
in order to rationalize and expand the view of the consumer
•  Pre-Packaged Data Model
•  Facebook API’s (via social signon)
•  Ability to create a ‘Database of Affinity’
Key Accelerators
•  Software / hardware neutral
•  Built to scale based on Big Data technologies
•  Accelerators enable quick, low-cost implementation
•  On-premise or hosted
The Clarity approach
Overcome barriers to
personalized
consumer engagement
Page 14 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Why is ‘Social + Enterprise’ Important?
•  Social Log-in is gaining
popularity
–  Both Google and Facebook
have publicly stated their
intent to use social log-in to
track users
–  Reduced log-in fatigue -
Social log-in allows
consumers to remember
fewer passwords
–  Using social log-in is
actually MORE secure
–  Usage of cookies is dying
•  The richness of Facebook
profiles is amazing!
–  Use social data to create the
‘Database of Affinity’
Page 15 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
A beverage company seeks to improve several aspects of its
consumer marketing strategy
•  A large international beverage company met with Clarity to discuss opportunities to improve consumer marketing
effectiveness. The company faced several challenges in creating marketing impact among it’s targeted consumer base.
Some of its primary obstacles included:
•  Product Breakthrough: Consumers having more choice than ever before
•  Media Breakthrough: Becoming increasingly harder to win media moments
•  Message Breakthrough: Ensuring your message connects when you do reach them
Proprietary and Confidential - © 2014 Clarity Solution Group, Inc.
Clarity worked with the beverage company to identify potential solutions to these challenges. Several options were
evaluated, but ultimately this company worked with Clarity to gain a more comprehensive view of the customer. Both
organizations then worked to implement a solution with the following objectives in mind:
•  Create a consumer database that will allow building toward a unified view of the consumer
•  Understand the impact of various consumer touch points (consumer interactions were collected and stored separately),
validate and augment consumer segmentation, identify influencers, advocates and brand loyalists
•  Ultimately deliver more targeted communications and more efficient use of media spend.
•  Social segmentation in conjunction with ‘Database of Affinity’ resulted in 20%+ lift in campaign responses
Business Problem
Project Approach
Page 16 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Case Study: CPG
The implementation leveraged Clarity’s Consumer 720 Solution Platform & Delivery Approach
Data Exploration
• Data profiling and structuring
•  High-level quality issues
•  Schema discovery
•  Data into schema rationalization
• Attribute analysis
•  Identify common attributes
•  Identify groupings of attributes to support
entity resolution
•  Identify and prioritize attribute groupings for
demographic profile segmentation
• Entity resolution
•  Execute entity resolution for email address
•  Prototyped similarity-based resolution for
social profile
Data Integration
•  Enhanced master Consumer Profile data
model
•  Perform entity resolution / matching to link
enterprise and social profiles
•  Implement survivorship rules to rationalize
and enrich key attributes for campaign
segmentation
•  Enhance data model to support e-mail
response data
Predictive Model
•  Demographic Response Model: This model
takes every individual and assigns them
with a probability of attending an event
based only on basic information.
•  Social Activity Model: The output of this
model is a grouping of people with similar
interests, and a simple prediction model
assigning people to these groups. The goal
is to identify interests that have the highest
rates of identified activity.
Page 17 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Case Study: CPG
Consumer720 Data Model integrates social and enterprise master and transactional data
Entity Resolution
Opt-in and Campaign Feedback
Affinity and Activity
Identification
Golden Consumer
Profile
Source Social Profile
Targeting Model
•  Feature Extraction
•  Activity Classification
•  Influence
Quantification
•  Affinity Identification
Consolidated Consumer
Demographics
Page 18 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
The Value of Consumer720 is Greatest if used in conjunction with Social Login,
but it is not Required…
Incorporate public
social feeds from
sources such as
Twitter and FB with
the associated
user profile info
Perform screen
scraping for
product pricing and
reviews
Social Login
•  Less than 30% of all retail and CPG’s are currently using social login. The good news is that usage is
expected to grow 20%-30% annually
•  There is definitely a maturity curve for leveraging social analytics
It is important to have a social analytics strategy
This starts with sentiment analysis
and in more advanced scenarios can
be used to predict business
outcomes
Very useful as an ‘Early Warning’
system for product defects, warranty
issues, recalls, etc…
Page 19 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Agenda
Clarity and Hortonworks Partnership
Hortonworks Data Platform (HDP) overview
Consumer720 provided by Clarity Solution Group Overview
Summary / Call to action
Page 20 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Only HDP delivers a Centralized Architecture
YARN
Other Hadoop Vendors
A siloed “with” YARN architecture
Disjoint, Siloed Clusters
•  Inefficient use of resources, single tenant, duplicate storage & processing
•  Multiple implementations of governance, security and operations
•  New applications require new clusters
Hortonworks Data Platform
A centralized architecture built on YARN
Cluster1
Application
Security
Storage
YARN
Governance
Operations
Batch
Storage
YARN: Data Operating System
Governance Security
Operations
Resource Management
Existing
Applications
New
Analytics
Partner
Applications
(ie. SAS)
Cluster2
Application
Security
Storage
Governance
Operations
ClusterN
Application
Security
Storage
Governance
Operations
…
Interactive
Dedicated
Resource mgt
Real-time
Dedicated
Resource mgt
Single cluster, multiple applications
•  Efficient storage, processing
•  Centralized Security, Operations, Governance
•  Run a variety of applications simultaneously
Data Access: Batch, Interactive & Real-time
Page 21 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
HDP: Any Data, Any Application, Anywhere
Any Application
•  Deep integration with ecosystem
partners to extend existing
investments and skills
•  Broadest set of applications through
the stable of YARN-Ready applications
Any Data
Deploy applications fueled by clickstream, sensor,
social, mobile, geo-location, server log, and other new
paradigm datasets with existing legacy datasets.
Anywhere
Implement HDP naturally across the complete
range of deployment options
Clickstream	
   Web	
  	
  
&	
  Social	
  
Geoloca3on	
   Internet	
  of	
  
Things	
  
Server	
  	
  
Logs	
  
Files,	
  emails	
  ERP	
   CRM	
   SCM	
  
hybrid
commodity appliance cloud
Over 70 Hortonworks Certified YARN Apps
Page 22 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
“Hortonworks loves and lives
open source innovation”
World Class Support and Services.
Hortonworks' Customer Support received a
maximum score and was significantly higher
than both Cloudera and MapR
A Leader in Hadoop
The Forrester Wave™
Big Data Hadoop Solutions
Q1 2014
Page 23 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Hadoop is a Platform Decision
Adoption follows a consistent journey
Data architecture efficiencies, new analytic apps, and
ultimately to a “data lake”.
HDP: A centralized architecture built on YARN
Any application, any data, anywhere.
HDP: A completely open data platform
Platforms are ultimately defined by open communities.
HDP subscription supports entire lifecycle
World class experience to ensure success from architecture to
production to expansion.
Page 24 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Next Steps…
Download the Hortonworks Sandbox
Learn Hadoop
Build Your Analytic App
Try Hadoop 2
More about Clarity & Hortonworks
http://hortonworks.com/partner/clarity-solution-group/
Contact us: events@hortonworks.com
Page 25 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
SAN JOSE
June 9-11
BRUSSELS
April 15-16
•  Deep-dive technical content
•  65+ sessions and 5 tracks
•  1000 attendees
•  Sponsorships Available
•  Including Pre and Post event community meetups
and BOFs
•  Hadoop training available
•  100+ sessions and 7 tracks
•  Deep-dive technical content
•  5000 attendees
•  Sponsorships Available
•  Including Pre and Post event community meetups
and BOFs
•  Hadoop training available
www.hadoopsummit.org
The Largest Hadoop Community Events in 

Europe and North America
Page 26 © Hortonworks Inc. 2011 – 2015. All Rights Reserved
Cautionary Statement Regarding Forward-Looking Statements
This presentation contains forward-looking statements involving risks and uncertainties. Such
forward-looking statements in this presentation generally relate to future events, our ability to
increase the number of support subscription customers, the growth in usage of the Hadoop
framework, our ability to innovate and develop the various open source projects that will enhance
the capabilities of the Hortonworks Data Platform, anticipated customer benefits and general
business outlook. In some cases, you can identify forward-looking statements because they
contain words such as “may,” “will,” “should,” “expects,” “plans,” “anticipates,” “could,” “intends,”
“target,” “projects,” “contemplates,” “believes,” “estimates,” “predicts,” “potential” or “continue” or
similar terms or expressions that concern our expectations, strategy, plans or intentions. You
should not rely upon forward-looking statements as predictions of future events. We have based
the forward-looking statements contained in this presentation primarily on our current expectations
and projections about future events and trends that we believe may affect our business, financial
condition and prospects. We cannot assure you that the results, events and circumstances
reflected in the forward-looking statements will be achieved or occur, and actual results, events, or
circumstances could differ materially from those described in the forward-looking statements.
The forward-looking statements made in this prospectus relate only to events as of the date on
which the statements are made and we undertake no obligation to update any of the information in
this presentation.
Trademarks
Hortonworks is a trademark of Hortonworks, Inc. in the United States and other jurisdictions.
Other names used herein may be trademarks of their respective owners.

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Hortonworks and Clarity Solution Group

  • 1. Page 1 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Q&A box is available for your questions Webinar will be recorded for future viewing Thank you for joining! We’ll get started soon…
  • 2. Page 2 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Big Data and Analytics in Retail and Consumer Products With Clarity Solution Group
  • 3. Page 3 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Your speakers… Eric Thorsen General Manager, Consumer Products and Retail Hortonworks Duane Lyons Practice Lead, Retail / CPG & Manufacturing Clarity Solution Group
  • 4. Page 4 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Agenda Clarity and Hortonworks Partnership Hortonworks Data Platform (HDP) overview Consumer720 provided by Clarity Solution Group Overview Summary / Call to action
  • 5. Page 5 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Clarity and Hortonworks partnership Focused on enabling organizations to leverage big-data for positive business impact •  Drive better business outcomes through data and analytics •  Deliver unsurpassed client service •  Create a thriving community of employees •  Be the undisputed #1 specialist consultancy focused exclusively on data and analytic solutions Clarity Mission
  • 6. Page 6 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Agenda Clarity and Hortonworks Partnership Hortonworks Data Platform (HDP) overview Consumer720 provided by Clarity Solution Group Overview Summary / Call to action
  • 7. Page 7 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Traditional systems under pressure Challenges •  Constrains data to app •  Can’t manage new data •  Costly to Scale Business Value Clickstream Geolocation Web Data Internet of Things Docs, emails Server logs 2012 2.8 Zettabytes 2020 40 Zettabytes LAGGARDS INDUSTRY LEADERS 1 2 New Data ERP CRM SCM New Traditional
  • 8. Page 8 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Hadoop emerged as foundation of new data architecture Apache Hadoop is an open source data platform for managing large volumes of high velocity and variety of data •  Built by Yahoo! to be the heartbeat of its ad & search business •  Donated to Apache Software Foundation in 2005 with rapid adoption by large web properties & early adopter enterprises •  Incredibly disruptive to current platform economics Traditional Hadoop Advantages ü  Manages new data paradigm ü  Handles data at scale ü  Cost effective ü  Open source Traditional Hadoop Had Limitations " Batch-only architecture " Single purpose clusters, specific data sets " Difficult to integrate with existing investments " Not enterprise-grade Application Storage HDFS Batch Processing MapReduce
  • 9. Page 9 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Modern Data Architecture emerges to unify data & processing Modern Data Architecture •  Enable applications to have access to all your enterprise data through an efficient centralized platform •  Supported with a centralized approach governance, security and operations •  Versatile to handle any applications and datasets no matter the size or type Clickstream   Web     &  Social   Geoloca3on   Sensor     &  Machine   Server     Logs   Unstructured   SOURCES Existing Systems ERP   CRM   SCM   ANALYTICS Data Marts Business Analytics Visualization & Dashboards ANALYTICS Applications Business Analytics Visualization & Dashboards ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° ° HDFS (Hadoop Distributed File System) YARN: Data Operating System Interactive Real-TimeBatch Partner ISVBatch Batch MPP   EDW  
  • 10. Page 10 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Agenda Clarity and Hortonworks Partnership Hortonworks Data Platform (HDP) overview Consumer720 provided by Clarity Solution Group Overview Summary / Call to action
  • 11. Page 11 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Maximizing the Value of Social Media #1 #2 #3 •  However, market leaders are already understanding the benefits of #3 and realizing tremendous competitive advantage •  Consumer720 focuses on allowing organizations to use social media to maximize the value of existing marketing processes and technologies
  • 12. Page 12 © Hortonworks Inc. 2011 – 2015. All Rights Reserved What is Consumer720? ‘Social + Enterprise ‘ allows for creation the ‘Database of Affinity’ •  Forrester defines the Database of Affinity as ‘A catalogue of people’s tastes and preferences collected by observing their social behaviors’ •  ‘Affinity’ is different than ‘Intent’. A consumer may have a intent to purchase a stroller because of a newborn child. While valuable to a marketer, it has a limited shelf life. Knowing a consumers affinity for a brand, category, or something else is valuable long- term KeyBenefitsof‘Social+Enterprise’ •  #1 –Predicated upon permission-based access to social profiles. The solution includes API’s to connect with social sources for profile integration •  #2 – Reusable data model to support social sources and Database of Affinity •  #3 – Sophisticated rules engine to determine affinity attributes for individual consumers based on their Facebook likes •  #4 – Social segmentation models to support targeted communications Benefits
  • 13. Page 13 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Solution Overview: Clarity Solution Group offers a unique solution to Consumer720 •  Consumer 720 combines internal company data with external social media data in order to rationalize and expand the view of the consumer •  Pre-Packaged Data Model •  Facebook API’s (via social signon) •  Ability to create a ‘Database of Affinity’ Key Accelerators •  Software / hardware neutral •  Built to scale based on Big Data technologies •  Accelerators enable quick, low-cost implementation •  On-premise or hosted The Clarity approach Overcome barriers to personalized consumer engagement
  • 14. Page 14 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Why is ‘Social + Enterprise’ Important? •  Social Log-in is gaining popularity –  Both Google and Facebook have publicly stated their intent to use social log-in to track users –  Reduced log-in fatigue - Social log-in allows consumers to remember fewer passwords –  Using social log-in is actually MORE secure –  Usage of cookies is dying •  The richness of Facebook profiles is amazing! –  Use social data to create the ‘Database of Affinity’
  • 15. Page 15 © Hortonworks Inc. 2011 – 2015. All Rights Reserved A beverage company seeks to improve several aspects of its consumer marketing strategy •  A large international beverage company met with Clarity to discuss opportunities to improve consumer marketing effectiveness. The company faced several challenges in creating marketing impact among it’s targeted consumer base. Some of its primary obstacles included: •  Product Breakthrough: Consumers having more choice than ever before •  Media Breakthrough: Becoming increasingly harder to win media moments •  Message Breakthrough: Ensuring your message connects when you do reach them Proprietary and Confidential - © 2014 Clarity Solution Group, Inc. Clarity worked with the beverage company to identify potential solutions to these challenges. Several options were evaluated, but ultimately this company worked with Clarity to gain a more comprehensive view of the customer. Both organizations then worked to implement a solution with the following objectives in mind: •  Create a consumer database that will allow building toward a unified view of the consumer •  Understand the impact of various consumer touch points (consumer interactions were collected and stored separately), validate and augment consumer segmentation, identify influencers, advocates and brand loyalists •  Ultimately deliver more targeted communications and more efficient use of media spend. •  Social segmentation in conjunction with ‘Database of Affinity’ resulted in 20%+ lift in campaign responses Business Problem Project Approach
  • 16. Page 16 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Case Study: CPG The implementation leveraged Clarity’s Consumer 720 Solution Platform & Delivery Approach Data Exploration • Data profiling and structuring •  High-level quality issues •  Schema discovery •  Data into schema rationalization • Attribute analysis •  Identify common attributes •  Identify groupings of attributes to support entity resolution •  Identify and prioritize attribute groupings for demographic profile segmentation • Entity resolution •  Execute entity resolution for email address •  Prototyped similarity-based resolution for social profile Data Integration •  Enhanced master Consumer Profile data model •  Perform entity resolution / matching to link enterprise and social profiles •  Implement survivorship rules to rationalize and enrich key attributes for campaign segmentation •  Enhance data model to support e-mail response data Predictive Model •  Demographic Response Model: This model takes every individual and assigns them with a probability of attending an event based only on basic information. •  Social Activity Model: The output of this model is a grouping of people with similar interests, and a simple prediction model assigning people to these groups. The goal is to identify interests that have the highest rates of identified activity.
  • 17. Page 17 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Case Study: CPG Consumer720 Data Model integrates social and enterprise master and transactional data Entity Resolution Opt-in and Campaign Feedback Affinity and Activity Identification Golden Consumer Profile Source Social Profile Targeting Model •  Feature Extraction •  Activity Classification •  Influence Quantification •  Affinity Identification Consolidated Consumer Demographics
  • 18. Page 18 © Hortonworks Inc. 2011 – 2015. All Rights Reserved The Value of Consumer720 is Greatest if used in conjunction with Social Login, but it is not Required… Incorporate public social feeds from sources such as Twitter and FB with the associated user profile info Perform screen scraping for product pricing and reviews Social Login •  Less than 30% of all retail and CPG’s are currently using social login. The good news is that usage is expected to grow 20%-30% annually •  There is definitely a maturity curve for leveraging social analytics It is important to have a social analytics strategy This starts with sentiment analysis and in more advanced scenarios can be used to predict business outcomes Very useful as an ‘Early Warning’ system for product defects, warranty issues, recalls, etc…
  • 19. Page 19 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Agenda Clarity and Hortonworks Partnership Hortonworks Data Platform (HDP) overview Consumer720 provided by Clarity Solution Group Overview Summary / Call to action
  • 20. Page 20 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Only HDP delivers a Centralized Architecture YARN Other Hadoop Vendors A siloed “with” YARN architecture Disjoint, Siloed Clusters •  Inefficient use of resources, single tenant, duplicate storage & processing •  Multiple implementations of governance, security and operations •  New applications require new clusters Hortonworks Data Platform A centralized architecture built on YARN Cluster1 Application Security Storage YARN Governance Operations Batch Storage YARN: Data Operating System Governance Security Operations Resource Management Existing Applications New Analytics Partner Applications (ie. SAS) Cluster2 Application Security Storage Governance Operations ClusterN Application Security Storage Governance Operations … Interactive Dedicated Resource mgt Real-time Dedicated Resource mgt Single cluster, multiple applications •  Efficient storage, processing •  Centralized Security, Operations, Governance •  Run a variety of applications simultaneously Data Access: Batch, Interactive & Real-time
  • 21. Page 21 © Hortonworks Inc. 2011 – 2015. All Rights Reserved HDP: Any Data, Any Application, Anywhere Any Application •  Deep integration with ecosystem partners to extend existing investments and skills •  Broadest set of applications through the stable of YARN-Ready applications Any Data Deploy applications fueled by clickstream, sensor, social, mobile, geo-location, server log, and other new paradigm datasets with existing legacy datasets. Anywhere Implement HDP naturally across the complete range of deployment options Clickstream   Web     &  Social   Geoloca3on   Internet  of   Things   Server     Logs   Files,  emails  ERP   CRM   SCM   hybrid commodity appliance cloud Over 70 Hortonworks Certified YARN Apps
  • 22. Page 22 © Hortonworks Inc. 2011 – 2015. All Rights Reserved “Hortonworks loves and lives open source innovation” World Class Support and Services. Hortonworks' Customer Support received a maximum score and was significantly higher than both Cloudera and MapR A Leader in Hadoop The Forrester Wave™ Big Data Hadoop Solutions Q1 2014
  • 23. Page 23 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Hadoop is a Platform Decision Adoption follows a consistent journey Data architecture efficiencies, new analytic apps, and ultimately to a “data lake”. HDP: A centralized architecture built on YARN Any application, any data, anywhere. HDP: A completely open data platform Platforms are ultimately defined by open communities. HDP subscription supports entire lifecycle World class experience to ensure success from architecture to production to expansion.
  • 24. Page 24 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Next Steps… Download the Hortonworks Sandbox Learn Hadoop Build Your Analytic App Try Hadoop 2 More about Clarity & Hortonworks http://hortonworks.com/partner/clarity-solution-group/ Contact us: events@hortonworks.com
  • 25. Page 25 © Hortonworks Inc. 2011 – 2015. All Rights Reserved SAN JOSE June 9-11 BRUSSELS April 15-16 •  Deep-dive technical content •  65+ sessions and 5 tracks •  1000 attendees •  Sponsorships Available •  Including Pre and Post event community meetups and BOFs •  Hadoop training available •  100+ sessions and 7 tracks •  Deep-dive technical content •  5000 attendees •  Sponsorships Available •  Including Pre and Post event community meetups and BOFs •  Hadoop training available www.hadoopsummit.org The Largest Hadoop Community Events in 
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  • 26. Page 26 © Hortonworks Inc. 2011 – 2015. All Rights Reserved Cautionary Statement Regarding Forward-Looking Statements This presentation contains forward-looking statements involving risks and uncertainties. Such forward-looking statements in this presentation generally relate to future events, our ability to increase the number of support subscription customers, the growth in usage of the Hadoop framework, our ability to innovate and develop the various open source projects that will enhance the capabilities of the Hortonworks Data Platform, anticipated customer benefits and general business outlook. In some cases, you can identify forward-looking statements because they contain words such as “may,” “will,” “should,” “expects,” “plans,” “anticipates,” “could,” “intends,” “target,” “projects,” “contemplates,” “believes,” “estimates,” “predicts,” “potential” or “continue” or similar terms or expressions that concern our expectations, strategy, plans or intentions. You should not rely upon forward-looking statements as predictions of future events. We have based the forward-looking statements contained in this presentation primarily on our current expectations and projections about future events and trends that we believe may affect our business, financial condition and prospects. We cannot assure you that the results, events and circumstances reflected in the forward-looking statements will be achieved or occur, and actual results, events, or circumstances could differ materially from those described in the forward-looking statements. The forward-looking statements made in this prospectus relate only to events as of the date on which the statements are made and we undertake no obligation to update any of the information in this presentation. Trademarks Hortonworks is a trademark of Hortonworks, Inc. in the United States and other jurisdictions. Other names used herein may be trademarks of their respective owners.