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Transcript of Lynn wong: make a difference with big data - HP
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
Make a difference with Big Data
Lynn Wong
APJ Regional Business Lead
Big Data Category
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 2
Top Technology Trends for 2014
• Emergence of the Mobile Cloud Mobile distributed computing paradigm will lead to explosion of new services.
• From Internet of Things to Web of Things Need connectivity, internetworking to link physical and digital.
• From Big Data to Extreme Data Simpler analytics tools needed to leverage the data deluge.
• The Revolution Will Be 3D New tools, techniques bring 3D printing power to masses.
• Supporting New Learning Styles Online courses demand seamless, ubiquitous approach.
• Next-generation mobile networks Mobile infrastructure must catch up with user needs.
• Balancing Identity and Privacy Growing risks and concerns about social networks.
• Smart and Connected Healthcare Intelligent systems, assistive devices will improve health.
• E-Government Interoperability a big challenge to delivering information.
• Scientific Cloud Computing Key to solving grand challenges, pursuing breakthroughs.
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
Big Data Market Dynamics
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 4
Deliver results with Analytics
Capitalizing on Big Data
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 5
changing the art of management”
“
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 6
Don’t CxO’s already have reports and warehouses ?
So what’s new?
Volume Velocity Variety
Vulnerability
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 7
How do you benefit from the 2.5 exabytes humanity creates every day?
Volume
“We don’t have better algorithms, we just have more data”
Peter Norvig, Director of Research, Google
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 8
Variety
Business Data
10% of Information
Annual Growth
~100%
~10%
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 9
Variety
Human Information Machine Data
Business Data
10% of Information
90% of Information
Annual Growth
~100%
~10%
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 10
Velocity
Anticipate energy needed
No time for an overnight batch run!
Estimate flight arrivals
Detect card fraud
Predict equipment failure
Repel criminal attacks
Find the best markets
Beat the crowds
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 11
Then there’s “V” for vulnerability
Data theft Legal search, fraud
100+ million credit cards stolen – after 5 audits declared all “okay”
70%+ of the cost of litigation is classification
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 12
Accelerating Innovation & Time to Value
695,000 status updates
98,000+ tweets
698,445 Google searches
1,820TB of data created
11million instant messages
168 million+ emails sent
YouTube
Viber
Qzone
Amazon Web Services
GoGrid
Rackspace
LimeLight
Jive Software
salesforce.com
Xactly
Paint.NET
Business
Education
Entertainment
Games
Lifestyle
Music
Navigation
News
Photo & Video
Productivity
Reference
Social Networking
Sport
Travel
Utilities
Workbrain
SuccessFactors
Taleo
Workday
Finance
box.net
TripIt
Zynga
Zynga
Baidu
Yammer
Atlassian
Atlassian
MobilieIron SmugMug
SmugMug
Atlassian
Amazon
Amazon iHandy
PingMe
PingMe
Associatedcontent
Flickr
Snapfish
Answers.com
Tumblr.
Urban
Scribd. Pandora
MobileFrame.com
Mixi
CYworld
Renren
Yandex
Yandex
Heroku
RightScale
New Relic
AppFog
Bromium Splunk
CloudSigma
cloudability
kaggle
nebula
Parse
ScaleXtreme
SolidFire
Zillabyte
dotCloud
BeyondCore
Mozy
Fring Toggl
MailChimp
Hootsuite
Foursquare
buzzd
Dragon Diction
SuperCam
UPS Mobile
Fed Ex Mobile
Scanner Pro
DocuSign
HP ePrint
iSchedule
Khan Academy
BrainPOP
myHomework
Cookie Doodle
Ah! Fasion Girl
PaperHost
SLI Systems
NetSuite
OpSource
Joyent
Hosting.com
Tata Communications
Datapipe
PPM
Alterian
Hyland
NetDocuments
NetReach
OpenText
Xerox
Microsoft
IntraLinks
Qvidian
Sage
SugarCRM
Volusion
Zoho
Adobe
Avid
Corel
Microsoft
Serif
Yahoo
CyberShift
Saba
Softscape
Sonar6
Ariba
Yahoo!
Quadrem
Elemica
Kinaxis
CCC
DCC
SCM ADP VirtualEdge
Cornerstone onDemand
CyberShift
Kenexa Saba
Softscape
Sonar6
Workscape
Exact Online
FinancialForce.com
Intacct NetSuite
Plex Systems
Quickbooks
eBay
MRM
Claim Processing
Payroll
Sales tracking & Marketing
Commissions Database
ERP
CRM
SCM
HCM
HCM
PLM
HP
EMC
Cost Management
Order Entry
Product Configurator
Bills of Material Engineering
Inventory
Manufacturing Projects
Quality Control
SAP
Cash Management
Accounts Receivable Fixed Assets Costing
Billing
Time and Expense
Activity Management Training
Time & Attendance
Rostering
Service
Data Warehousing
The Internet Gigabytes
Client/Server Megabytes
Every 60 seconds
IBM
Unisys
Burroughs
Hitachi
NEC Bull
Fijitsu
Mainframe Kilobytes
Mobile, Social, Big Data & The Cloud
Zettabytes
217 new mobile web users
Yottabytes
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 13
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 14
Big Data: Where is coming from Today based on transactions
Business Model
Busi
ness
D
ecis
ions
Business Intelligence
Data Model
Web pages Blogs
--------- ---------
-------
--------- ---------
Tomorrow better decision
Transaction Collection
Transactional Data
$ € ¥
Social Media
Images
Search Engine Audio Video
Instant messaging
IM
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 15
Type Pressures Example Big shift
Structured Inefficient scaling Reporting From rows to columnar
Semi-structured
Trillions of events Security logs See, understand, act
Human Video, audio, images Call center recordings
Meaning based computing
Streaming Real-time patterns & prediction
Online sales All three plus real-time
Changing paradigms of data processing
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 16
Market dynamics of Big Data and Analytics
Data explosion • Human and machine information growth can’t be contained
• Data growth over past 5-10 years surpasses all data from last 5 decades
Evolving delivery models • Every phone call, tweet, Facebook update, and e-mail
generates new information
• Consumerization of IT blurs line between employees and consumers
Real time decision making • Organizations can’t react and respond quickly enough
• Only 20% of CIOs have real-time access to customer data
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 17
Datasets whose volume, velocity, variety and complexity exceed ability of commonly used software tools to capture, process, store, manage, and analyze them.
*Gartner, Inc., “Big Data” Is Only the Beginning of Extreme Information Management”, Mark A. Beyer, Anne Lapkin, Nicholas Gall, Donald Feinberg, Valentin T. Sribar, Published 7 April 2011
What exactly is Big Data?
Information Sources
Mobile Transactional Data Search Texts CRM, SCM, ERP
$ € ¥
Images Email Social Media IT Ops Audio Video
Velocity Volume
Variety Complexity
Big Data
• Both structured and unstructured data present new opportunities for buyers, service providers, researchers and consumers as a means for better understanding the world.
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 18
Data “Lake”
Imagine if you were able to…
Transactional data
Ingest Understand Analyse
Social media Images Audio Video Mobile Email Texts Documents
ERP Business intelligence … Your apps
… Analytics …
Machine Data Business Data Human Information
In-memory Hadoop
Standard APIs & tools
100% of your data Seamlessly
Interact with and process
…
Open connectors
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 19
Virtualization Cloud
SAP HANA Big Data Gartner Hype Cycle
Technology Adoption Cycle
HP Big Data solutions are poised to cross “the chasm” Mapping Converged Systems to the hype cycle
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 20
Customers plan to invest in Big Data 40% CAGR – The “Moneyball” Effect
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 21
Big Data Impacts all of us
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 22
Big Data Innovation changes the game of IT operation
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
HP HAVEn
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 24
HP HAVEn
HAVEn
Social media IT/OT Images Audio Video Transactional
data Mobile Search engine Email Texts
Catalogue massive volumes of distributed data
Hadoop/ HDFS
Process and index all information
Autonomy IDOL
Analyze at extreme scale in real-time
Vertica
Collect & unify machine data
Enterprise Security
Powering HP Software + your apps
nApps
Documents
Approaching Big Data with an intelligent software architecture
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 25
Horizontal Use Cases
n-Apps Big Data opportunity Big data use cases are business-driven and cut across a wide range of industries & functions
Sources: IDC: 2012 “Worldwide Big Data Technology and Services Forecast: 2011-2015, Gartner: 2012 “Big Data Drives Rapid Changes in Infrastructure and $232 Billion in IT Spending Through 2016
Healthcare • Drug development • Scientific research • Evidence based
medicine • Healthcare outcomes
analysis
Manufacturing • Supply chain
optimization • Defect tracking • RFID Correlation • Warranty management
Telecom • Broadcast monitoring • Churn prevention • Advertising
optimization
Government • Law enforcement • Counter terrorism • Traffic flow
optimization
Finance • Fraud detection • Anti-money laundering • Risk management
Energy • Weather forecasting • Natural resource
exploration
• Sentiment analysis • Security analytics • Social CRM / network analysis • Churn mitigation • Brand monitoring • Cross and Up sell • Loyalty & promotion analysis • Web application optimization
• Operations analytics • Marketing campaign optimization • Brand management • Social media analytics • Pricing optimization • Internal risk assessment • Customer behavior analysis • Revenue assurance
• Logistics optimization • Clickstream analysis • Influencer analysis • IT infrastructure analysis • Legal discovery • Equipment monitoring • Enterprise search
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 26
• Finance • Product managers • Marketing • Sales • Supply chain • Security • IT
Every customer role will benefit from Big Data
1IDC, The Digital Universe Decade , May 2010. IDG Research Services, IT Executives Vision, conducted for HP, for 2020, May 2012
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 27
Only HAVEn delivers
100% of your data 1000x faster answers
50-90% less hardware
1,000,000+ machine events per second
• Create better products/services • Improve customer experience • Defeat cybercriminals
• Protect your IT investments • Protect your information • Protect your applications
30x data per server
• Machine data • Business data • Human information
700+ connectors
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 28
Start by asking questions about business objectives
Growth
Resource planning
Cost reduction
Operational efficiencies
New business models
Risk reduction
Talent management
Customer satisfaction
Planning
• How would the ability to ingest and react to data in real-time help you?
• What “human information” would you like to better leverage?
• What’s inhibiting you from effectively combining machine, structured, semi-structured and streaming data today?
• How would theft of your data impact your operations?
• What would it cost to manage 100x the amount of data you retain today?
And drill into how data matters in each case
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 29
The lines between traditional OLTP, OLAP and Analytics workloads have blurred
The Changing Nature of Big Data systems
Sales
Finance
Marketing
Operations
CRM
HR
Sales Targets, Finance Targets,
etc.
Transactional Data ETL and Information Management
Analytics and Reports/Dashboards
Data extract, cleanse, integrate
Homogenized grain, time relationships, dimensionality
Business calculations, Summarization, hierarchies
Data warehouse Analytics cubes Reporting, analysis & visualization tools
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 30
Shortcomings of legacy techniques for big data
Stale technologies Talent shortage
³Source: Coleman Parkes Survey Nov 2012 IT frustration
Lack of insight
… preventing organizations from:
•Developing disruptive business models
•Creating better products and services
•Enhancing customer experience
•Driving sustained competitive advantage
Proprietary vs Open Monolithic vs Scalable
Batch vs Real-time
Summary vs Granular
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
HAVEn
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 32
HAVEn - Ecosystem
Cloud
Integrators Converged Infrastructure
Enterprise Services
Business Intelligence Partners
Data Partners
Social media IT/OT Images Audio Video Transactional
data Mobile Search engine Email Texts Documents
HAVEn
Resellers
hp.com/haven
Technology Services
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 33 © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 33
Call center
Suppliers
Point of sale
Machine data
Customer sentiment (emails, social media, forums)
Data sources Legacy data warehouse
Bringing big data analytics to legacy data warehouses and dark data
Use case focus – EDW and Hadoop augmentation
Operational analytics
Reporting and analytics
Dashboards
Lines of business Finance
Human resources
Sales/CRM
Operations
Dark data/not captured
• Expensive
• Not “right time”
• Not detailed enough
• Slow
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 34
HP ConvergedSystems for Big Data Ready for HAVEn
Lego:
Lego Blocks: ConvergedSystems built from core building blocks
Lego Kit: Specific use case, target market and market segment
addressed by a ConvergedSystem solution
Lego City: Scalable, expandable, extensible HAVEn components
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 35
HP Converged Systems for Big Data Product Description
– HP Converged Systems address the growing needs of customers looking for enterprise ready & secure solutions to analyze big data cost effectively
Ideal Customer
– Medium to Large Enterprises and Lines of Business that are considering alternatives to expensive big data technologies for targeted use cases
– Provide customers the choice and flexibility they need to address a variety of Big Data workloads
Customer Value and Metrics
– Easy to procure, build and manage
Development Goals
– Deliver a portfolio of HP Converged Systems to support leading and innovative big data use cases
– Establish HP as a market leader and trusted advisor for big data
Related Services
– Technology services for installation, deployment and support
– Technology consulting for big data portfolio and business transformation
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 36
Blazingly fast big data analytics at massive scale and low TCO
Introducing HP ConvergedSystem 300 for Vertica
50x-1,000x faster performance
70% less per Terabyte than legacy data warehouses*
Performance • Accelerate your existing EDW with near real-time
analytics
Cost • More Data for Less • Competitively priced against EMC and Teradata
Simplified, rapid deployment
Time to value • Up and running in days vs. months • Modular building block for HAVEn architecture
* Based on large US bank customer success story
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 37 © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 37
HAVEn
Call center
Suppliers
Point of sale
Machine data
Customer sentiment (emails, social media forums)
Data sources Legacy data warehouse
Bringing big data analytics to legacy data warehouses and dark data
Use case focus - EDW and Hadoop augmentation
Operational analytics
Reporting and analytics
Dashboards
Hadoop data Analytics makes up ~40% of the workload in a data warehouse environment
Lines of business Finance
Human resources
Sales/CRM
Operations
• Cost effective
• Real-time
• Deep granularity
• Fast
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 38
Converged System 300 for Vertica
Improved efficiencies and lower TCO
• 70 percent savings in software and hardware costs4
• Cost-effective design saves up to 66 percent in DBA resources5
• Single system for structured and unstructured data
• 2X to 15X deeper compression than legacy data ware houses translate into lower infrastructure and admin costs6
Blazingly fast, near real-time analytics
• 50–1,000X faster performing queries7
• ETL delays can be avoided for many types of analytics leading to faster, more reliable insights
• Plug and play connectors can rapidly ingest unstructured data from multiple data sources simultaneously
• Compression significantly lowers query latency
• Seamless scaling based on workload demands
Simplified deployment
• Pre-tested, preconfigured, turnkey solution to deploy in days vs. weeks or months8
• Unified deployment, management and monitoring experience
• Integrated solution level support and deployment services
• Plug and play connectors can move data into and out of Vertica rapidly
Key Value Proposition
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 39
HP Vertica Analytics Platform
What does HP ConvergedSystem 300 for Vertica do
What Goes In Raw data
What Comes Out Meaningful Information
• Call Center Data • Customer Transactions/Lists • Inventories • Purchases • Web Logs • Sensor Information • Data from Web • Etc.
• Web Analytics • Reports and Information
• Best Selling Product • Best Customer • Most Returned Product • Path to Purchase
• Forward-looking Information • Where are the markets • Many other questions
Information Consumers
Connected Systems
HP DL380p Rack
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 40
Product details
HP ConvergedSystem 300
Integrated, configurable, pretested turnkey solution for managing and analyzing big data including • Baseline 3-node compute block
– Expandable to 16 nodes
– HP Vertica 7 Analytics software and licenses • Dedicated management block
– HP Insight CMU, Insight Control and CS300-specific management software
• HP Networking switches • Rack and infrastructure block • Factory Express installation and configuration • Solution-level (single call) 3-year support • Installation and Deployment service • Optional Big Data consulting services
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 41
Standard Configuration Performance Configuration
Starter Block (3-16)
Compute Servers (3-16)
DL380p, 2 x E5-2690v2 processors, 10GigE 2-port 561FLR adapter, 128
GB RAM
DL380p, 2 x E5-2690v2 processors, 10GigE 2-port 561FLR adapter, 256 GB
RAM
Storage 23 x 600 GB10k SAS SFF 2 x 300GB 10K system disks
23 x 1.2 TB 10k SAS SFF 2 x 300GB 10K system disks
Mgmt Servers (2) DL360p, 2 x E5-2660v2 processors / 128 GB RAM / 8 x 600 GB disks / 10GigE 2-port 561 FLR Adapter
Networking Block (2) HP 5900AF-48XGT-4QSFP+ Switches
OS Software RHEL 6.4 (or latest), Windows 2012 SE
Big Data SW HP Vertica 7 Analytics Platforms
Management Stack
HP Insight Control, Insight CMU, Vertica Console, Insight Diagnostics, Insight Remote Support, HP SUM, CS developed-appliance-specific console, Windows
Server HAVEn ready
HP Restricted: For HP Internal Use Only
HP ConvergedSystem 300 for Vertica - Product Details
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 42
The Vertica Technology
Achieve best data query performance with unique
Vertica column store
Linear scaling by adding more resources on the fly
Store more data, provide more views, use less
hardware
Query and load 24x7 with zero administration
Columnar storage and execution Clustering Compression Continuous
performance
Automated Performance Tuning
Database Design Time-series, geospatial, click-stream
and an SDK for more
Advanced Analytics
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 43
HP Vertica Analytics Platform
• Big data analytics for real time business intelligence
• Limitless scaling - add nodes for capacity and performance
• Extreme compression - up to 90% space reduction
• Load and go simplicity, MPP, no single point of failure
• Bi-directional Hadoop data connectors
Real-time and ad hoc analytics
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 44
HP intelligent end-to-end approach helps deliver right-time business decisions
Information Infrastructure
• Intelligent Design for performance and high availability
• Intelligent Scaling by Workload for high efficiency scale up or seamless scale out
• Intelligent delivery models for on-premise, cloud, or hybrid cloud
Information Management Information Insight
• Intelligent Management for a holistic management, governance and security
• Intelligent Culling (Prioritization) for separating signal from noise and optimizing resources to act on useful data
• Intelligent Workload Characterization for optimizing for transactional, warehouse or analytic workloads which can significantly vary in memory, processor, storage and networking requirements
• Intelligent pan-enterprise functionality for multichannel management and delivery
• Intelligent purpose-built scalable analytic platforms for advanced, predictive and real-time analytics
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 45
HP offers a full suite of packaged services for Big Data
• Complete lifecycle solution services to accelerate time to business results
– Strategy Services
– Design and Transition
– Start Services
– HP Solution Support
• Application transformation and hosting options
• Flexible leasing and financing to accelerate business priorities
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 46
Make Data Matter
Why HP for Big Data Unmatched HAVEn platform
100% data covered: structured, unstructured, semi-structured
Complete hardware, software, and services portfolio
#1 HPC vendor for 8 years
No vendor lock-in
Largest partner ecosystem
Unprecedented success designing & building scale-out projects
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 47
Our partner ecosystem
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
hp.com/go/bigdata
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP CONFIDENTIAL 49
“Autonomy, with the power of its IDOL engine, takes fan data, collects, it stores, and stitches it together…that helps us understand what is being talked about across the ecosystem of the sport.” - Senior Director of IT, NASCAR
HP Autonomy Solution: • Autonomy IDOL + Autonomy Explore
Results: • Wildly successful NASCAR Fan and Media Engagement Center
collects and aggregates fan information
• Understands sentiment, identifies emerging issues, and uncovers trends that help the NASCAR team share and enrich the fan and broadcast experience
Powering real-time, multichannel fan engagement