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Big Data to drive business 
results: HP HAVEn 
Rohit Tandon, VP – Corporate Strategy 
WW Head of HP Global Analytics 
© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP Confidential.
We are in a new era of accelerated innovation 
2013 
Every 60 seconds 
98,000+ tweets 
695,000 status updates 
11million instant messages 
698,445 Google searches 
168 million+ emails sent 
1,820TB of data created 
217 new mobile web users 
Growing Internet of Things (IoT) 
Pervasive 
Connectivity 
Explosion of 
Information 
Smart Device 
Expansion 
Devices 
DATA 
Mobile 
Apps 
A new style of IT required for IoT solutions 
© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 2 to change without notice. 
By 2020 
30 Billion(1) 
40 Trillion GB(2) 
10 Million(3) 
… for 8 Billion(4) 
(1) IDC Directions 2013: Why the Datacenter of the Future Will Leverage a Converged Infrastructure, March 2013, Matt 
Eastwood ; (2) & (3) IDC Predictions 2012: Competing for 2020, Document 231720, December 2011, Frank Gens; (4) 
http://en.wikipedia.org
Avoid the HiPPO - Highest Paid Person’s Opinion - 
Trap 
© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 3 to change without notice.
Business Intelligence evolution 
Hindsight Insight Foresight 
Process what happened yesterday patterns and trends prediction and action 
Data 
unstructured; business & social 
People report writers operations staff data scientists 
data warehouse, KPI 
Technology dashboards 
analytics databases 
© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 4 to change without notice. 
prediction, optimization 
& simulation systems 
highly structured 
Advanced Analytics Domain
Completing Analytical Vision 
CRM ERP Data Warehouse Web Social Log Files Machine Data Semi-structured 
Data Volumes 
Accuracy and Insight 
© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 5 to change without notice. 
Dark Data 
Big Data Traditional 
Enterprise Data 
Unstructured
Legacy architectures were built for a different 
world 
Yesterday’s data warehouse and 
analytic infrastructure 
• Proprietary 
• Expensive 
• Centralized, monolithic 
• Process laden 
• Batch 
• Summary 
• Slow 
© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 6 to change without notice.
Where are you on the Big Data continuum? 
Big Data 
is not 
used 
Level 0 
No Big Data 
Minimal use of 
structured internal 
data e.g., from 
ERP, CRM 
systems 
48%* 
Level 1 
Structured - 
Internal 
Solution Complexity 
Supplement with 
structured external 
data, e.g., paid 
subscriptions 
7%* 
Level 2 
Structured – 
Internal & 
External 
Include use of 
unstructured data, 
e.g., text, graphic 
8%* 
Level 3 
Structured – 
Internal & 
External 
Unstructured - 
Internal 
Add use of external 
unstructured data, 
e.g., search, social 
media 
8%* 
Level 4 
Structured – 
Internal & 
External 
Unstructured – 
Internal & 
External 
All data sources 
are fully integrated 
and optimized 
Level 5 
Fully Optimized 
Value / Benefit 
Data Types 
Present Future 
Source: Gartner Research Survey, March 2012 
* Percentage of Gartner survey respondents who indicated high usage of that particular class of data 
© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 7 to change without notice. 
“Over 90% of executives 
reported that in the next 
three years their 
organization plans to 
incorporate unstructured 
data into their enterprise 
insights, processes, and 
strategy.” 
Source: Coleman Parkes Survey, Nov. 
2012
HAVEn – The Leading Big Data Platform 
HAVEn 
Vertica 
Analyze at 
extreme scale 
in real-time 
Transactional 
Hadoop/ 
HDFS 
Catalog massive 
volumes of 
distributed data 
Autonomy 
IDOL 
Process and 
index all 
information 
Enterprise 
Security 
Collect & unify 
machine data 
n 
Apps 
Social media Video Audio IT/OT Images 
Email Texts Mobile data Search engine 
© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 8 to change without notice. 
Powering 
HP Software 
+ your apps 
Documents 
hp.com/haven
HAVEn 2.0 - New advances to unlock Big Data 
Vertica 7.0 and Flex Zone 
Blazing fast exploration & analysis 
of semi-structured + “dark” data 
HAVE 
n 
IDOL 10.5 & IDOL 
OnDemand 
Powering the next generation of 
human information applications 
© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 9 to change without notice. 
ArcSight ESM 6.5c 
Accelerated queries uncover 
threats faster & native Hadoop 
analytics 
Integration packs
HP apps built on HAVEn 2.0 
HP Operations Analytics HP Service Anywhere HP Digital Marketing Hub 
Announcing: The HAVEn developer program 
http://dev.hp.com/haven 
© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 10 to change without notice.
HP HAVEn services and infrastructure 
solutions 
© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 11 to change without notice. 
HP Autonomy 
*Based on large US bank customer success story 
Enterprise Group & Vertica 
HP ConvergedSystem 300 for Vertica 
• 70% lower cost * 
• 50-1000x faster analytics 
• Deploy in days vs months 
Enterprise 
Services 
• Big data discovery 
experience 
• Customer analytics 
services 
• Foresight situational 
awareness solution 
• Interactive media command 
center 
• Exploratory Info 
Analytics 
• HP IDOL Enterprise 
& HP IDOL OnDemand 
• Healthcare Analytics Platform 
• eDiscovery in the Cloud 
• Adaptive Backup & Recovery 
Data Protection 
• Digital Marketing Hub
HP HAVEn Business-driven Big Data use cases 
Marketing Sales Customer Supply chain Risk mgmt. HR, IT 
• Fraud detection 
• Anti-money 
laundering 
• Risk management 
• Broadcast 
monitoring 
• Churn prevention 
• Advertising 
optimization 
• Supply chain 
optimization 
• Defect tracking 
• RFID Correlation 
© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 12 to change without notice. 
• Weather 
forecasting 
• Natural resource 
exploration 
• Drug development 
• Scientific research 
• Evidence-based 
medicine 
• Law enforcement 
• Counter terrorism 
• Traffic flow 
optimization 
• Marketing 
effectiveness 
• Brand awareness 
and advocates 
• Integrated 
customer 
experience 
• Support analysis 
• Demand-supply 
planning 
• Procurement 
analytics 
• Systemic fraud 
models 
• Compliance 
and risk 
• Workforce 
optimization 
• IT performance 
management 
• Social lead 
generation 
• Sales 
optimization 
Industry Function 
Finance Government Telecom Manufacturing Energy Healthcare
BrandClout Analytics 
Business Problem 
Marketing spends are 
going up but impact is 
declining. Purchase 
decision cycles are being 
influenced by key 
influencers and not brands. 
Solution 
Target influencers using 
BrandClout: 
• Identify influencers 
relevant to the 
product/solution 
• Determine conversations 
influencers are interested 
in 
• Engage with influencers 
• Measure impact on 
influence exerted by your 
Influencer Program 
Solution Architecture 
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject 13 to change without notice. 
Outcome 
• Reduced 
spends on 
outreach 
• Magnified, 
impactful 
reach 
• Scalable 
platform for 
advanced 
social 
analytics
Predicting Machine Failure 
Efficient management 
of machine, system and 
sensor based 
ecosystems 
• Extract machine data 
and customer ticket 
data from the source 
systems using HP’s Big 
Data platform (HAVEn) 
• Develop analytical 
models using R-UDFs 
on HP Vertica 
• Present model 
predictions and metrics 
machine health via an 
interactive dashboard 
Digital press RDBMS 
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject 14 to change without notice. 
• Reduction in 
service and 
warranty 
costs 
• Improvement 
in Total 
Customer 
Experience 
• Improved up-time 
and 
better 
efficiency 
Business Problem 
Customer Support 
RDBMS 
Analytics in 
Vertica 
• Vertica SQL 
• UDFs in R 
Dynamic, 
user defined 
visualizations 
− Probability 
of failure 
− Time to 
Failure 
− Correlations 
Analytics 
Solution Architecture 
Solution 
Outcome
Imagine better 
targeted marketing 
Guess 
15 © Copyright 2013 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
Imagine better products and services 
NASCAR 
AVIS 
16 © Copyright 2013 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
Imagine optimized 
processes and superior 
outcomes 
UPS 
17 © Copyright 2013 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
Imagine finding and 
fixing problems, 
before your 
customers even 
notice 
Vodafone Ireland 
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
Imagine real-time risk management 
and governance 
Card Skimming 
19 © Copyright 2013 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
Big data solutions: HP’s approach 
HAVEn ecosystem 
Integrators 
Cloud 
Transactional 
HAVEn 
© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 20 to change without notice. 
Converged 
Infrastructure 
Enterprise 
Services 
Business Intelligence 
Partners 
Data Partners 
Social media Video Audio IT/OT Images 
Email Texts Mobile data Documents Search engine 
Resellers 
Technology 
Services 
hp.com/haven
HAVEn apps from partners 
Analytical Security Insider Threat Analysis 
Healthcare Analytics Ecommerce Predictive 
Commercial Insurance 
Risk Assessment 
Visit the Software Pavilion in Hall 4 
© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 21 to change without notice. 
Analytics 
Service Analytics for 
Manufacturing
Maximize your Return on Information with HP Big 
DDealivtearing results at the speed of business 
Intelligent engagement > HP 
SEenrgvaigcee tshe right people, processes, and technology with confidence 
Intelligent insight > HP HAVEn Platform 
Analyze, understand, protect and act on your data with HP HAVEn 
Intelligent management > HP Cloud & Software 
solutions 
Architect a connected information ecosystem to holistically manage, analyze, secure, & 
govern 
Intelligent infrastructure > HP Converged Infrastructure 
Unprecedented speed, simplicity, and scalability along with flexible delivery 
models 
© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 22 to change without notice.
Thank you 
© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP Confidential.

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WCIT 2014 Rohit Tandon - Big Data to Drive Business Results: HP HAVEn

  • 1. Big Data to drive business results: HP HAVEn Rohit Tandon, VP – Corporate Strategy WW Head of HP Global Analytics © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP Confidential.
  • 2. We are in a new era of accelerated innovation 2013 Every 60 seconds 98,000+ tweets 695,000 status updates 11million instant messages 698,445 Google searches 168 million+ emails sent 1,820TB of data created 217 new mobile web users Growing Internet of Things (IoT) Pervasive Connectivity Explosion of Information Smart Device Expansion Devices DATA Mobile Apps A new style of IT required for IoT solutions © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 2 to change without notice. By 2020 30 Billion(1) 40 Trillion GB(2) 10 Million(3) … for 8 Billion(4) (1) IDC Directions 2013: Why the Datacenter of the Future Will Leverage a Converged Infrastructure, March 2013, Matt Eastwood ; (2) & (3) IDC Predictions 2012: Competing for 2020, Document 231720, December 2011, Frank Gens; (4) http://en.wikipedia.org
  • 3. Avoid the HiPPO - Highest Paid Person’s Opinion - Trap © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 3 to change without notice.
  • 4. Business Intelligence evolution Hindsight Insight Foresight Process what happened yesterday patterns and trends prediction and action Data unstructured; business & social People report writers operations staff data scientists data warehouse, KPI Technology dashboards analytics databases © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 4 to change without notice. prediction, optimization & simulation systems highly structured Advanced Analytics Domain
  • 5. Completing Analytical Vision CRM ERP Data Warehouse Web Social Log Files Machine Data Semi-structured Data Volumes Accuracy and Insight © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 5 to change without notice. Dark Data Big Data Traditional Enterprise Data Unstructured
  • 6. Legacy architectures were built for a different world Yesterday’s data warehouse and analytic infrastructure • Proprietary • Expensive • Centralized, monolithic • Process laden • Batch • Summary • Slow © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 6 to change without notice.
  • 7. Where are you on the Big Data continuum? Big Data is not used Level 0 No Big Data Minimal use of structured internal data e.g., from ERP, CRM systems 48%* Level 1 Structured - Internal Solution Complexity Supplement with structured external data, e.g., paid subscriptions 7%* Level 2 Structured – Internal & External Include use of unstructured data, e.g., text, graphic 8%* Level 3 Structured – Internal & External Unstructured - Internal Add use of external unstructured data, e.g., search, social media 8%* Level 4 Structured – Internal & External Unstructured – Internal & External All data sources are fully integrated and optimized Level 5 Fully Optimized Value / Benefit Data Types Present Future Source: Gartner Research Survey, March 2012 * Percentage of Gartner survey respondents who indicated high usage of that particular class of data © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 7 to change without notice. “Over 90% of executives reported that in the next three years their organization plans to incorporate unstructured data into their enterprise insights, processes, and strategy.” Source: Coleman Parkes Survey, Nov. 2012
  • 8. HAVEn – The Leading Big Data Platform HAVEn Vertica Analyze at extreme scale in real-time Transactional Hadoop/ HDFS Catalog massive volumes of distributed data Autonomy IDOL Process and index all information Enterprise Security Collect & unify machine data n Apps Social media Video Audio IT/OT Images Email Texts Mobile data Search engine © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 8 to change without notice. Powering HP Software + your apps Documents hp.com/haven
  • 9. HAVEn 2.0 - New advances to unlock Big Data Vertica 7.0 and Flex Zone Blazing fast exploration & analysis of semi-structured + “dark” data HAVE n IDOL 10.5 & IDOL OnDemand Powering the next generation of human information applications © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 9 to change without notice. ArcSight ESM 6.5c Accelerated queries uncover threats faster & native Hadoop analytics Integration packs
  • 10. HP apps built on HAVEn 2.0 HP Operations Analytics HP Service Anywhere HP Digital Marketing Hub Announcing: The HAVEn developer program http://dev.hp.com/haven © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 10 to change without notice.
  • 11. HP HAVEn services and infrastructure solutions © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 11 to change without notice. HP Autonomy *Based on large US bank customer success story Enterprise Group & Vertica HP ConvergedSystem 300 for Vertica • 70% lower cost * • 50-1000x faster analytics • Deploy in days vs months Enterprise Services • Big data discovery experience • Customer analytics services • Foresight situational awareness solution • Interactive media command center • Exploratory Info Analytics • HP IDOL Enterprise & HP IDOL OnDemand • Healthcare Analytics Platform • eDiscovery in the Cloud • Adaptive Backup & Recovery Data Protection • Digital Marketing Hub
  • 12. HP HAVEn Business-driven Big Data use cases Marketing Sales Customer Supply chain Risk mgmt. HR, IT • Fraud detection • Anti-money laundering • Risk management • Broadcast monitoring • Churn prevention • Advertising optimization • Supply chain optimization • Defect tracking • RFID Correlation © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 12 to change without notice. • Weather forecasting • Natural resource exploration • Drug development • Scientific research • Evidence-based medicine • Law enforcement • Counter terrorism • Traffic flow optimization • Marketing effectiveness • Brand awareness and advocates • Integrated customer experience • Support analysis • Demand-supply planning • Procurement analytics • Systemic fraud models • Compliance and risk • Workforce optimization • IT performance management • Social lead generation • Sales optimization Industry Function Finance Government Telecom Manufacturing Energy Healthcare
  • 13. BrandClout Analytics Business Problem Marketing spends are going up but impact is declining. Purchase decision cycles are being influenced by key influencers and not brands. Solution Target influencers using BrandClout: • Identify influencers relevant to the product/solution • Determine conversations influencers are interested in • Engage with influencers • Measure impact on influence exerted by your Influencer Program Solution Architecture © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject 13 to change without notice. Outcome • Reduced spends on outreach • Magnified, impactful reach • Scalable platform for advanced social analytics
  • 14. Predicting Machine Failure Efficient management of machine, system and sensor based ecosystems • Extract machine data and customer ticket data from the source systems using HP’s Big Data platform (HAVEn) • Develop analytical models using R-UDFs on HP Vertica • Present model predictions and metrics machine health via an interactive dashboard Digital press RDBMS © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject 14 to change without notice. • Reduction in service and warranty costs • Improvement in Total Customer Experience • Improved up-time and better efficiency Business Problem Customer Support RDBMS Analytics in Vertica • Vertica SQL • UDFs in R Dynamic, user defined visualizations − Probability of failure − Time to Failure − Correlations Analytics Solution Architecture Solution Outcome
  • 15. Imagine better targeted marketing Guess 15 © Copyright 2013 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
  • 16. Imagine better products and services NASCAR AVIS 16 © Copyright 2013 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
  • 17. Imagine optimized processes and superior outcomes UPS 17 © Copyright 2013 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
  • 18. Imagine finding and fixing problems, before your customers even notice Vodafone Ireland © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
  • 19. Imagine real-time risk management and governance Card Skimming 19 © Copyright 2013 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
  • 20. Big data solutions: HP’s approach HAVEn ecosystem Integrators Cloud Transactional HAVEn © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 20 to change without notice. Converged Infrastructure Enterprise Services Business Intelligence Partners Data Partners Social media Video Audio IT/OT Images Email Texts Mobile data Documents Search engine Resellers Technology Services hp.com/haven
  • 21. HAVEn apps from partners Analytical Security Insider Threat Analysis Healthcare Analytics Ecommerce Predictive Commercial Insurance Risk Assessment Visit the Software Pavilion in Hall 4 © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 21 to change without notice. Analytics Service Analytics for Manufacturing
  • 22. Maximize your Return on Information with HP Big DDealivtearing results at the speed of business Intelligent engagement > HP SEenrgvaigcee tshe right people, processes, and technology with confidence Intelligent insight > HP HAVEn Platform Analyze, understand, protect and act on your data with HP HAVEn Intelligent management > HP Cloud & Software solutions Architect a connected information ecosystem to holistically manage, analyze, secure, & govern Intelligent infrastructure > HP Converged Infrastructure Unprecedented speed, simplicity, and scalability along with flexible delivery models © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject 22 to change without notice.
  • 23. Thank you © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HP Confidential.