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Vincere i Big Data
con HP HAVEn
Baveno, 17-18 Giugno 2014
Danilo Piatti
Regional Manager EMEA South – Autonomy, HP Software
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.2
695,000 status updates
98,000+ tweets
698,445 Google searches
1,820TB of data created
11million instant messages
168 million+ emails sent
217 new mobile web users
Growing Internet of Things (IoT)
Pervasive
Connectivity
Explosion of
Information
Smart Device
Expansion
Every 60 seconds
2014
A new style of IT required for IoT solutions
By 2020
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
We are in a new era of accelerated innovation
30 Billion(1)
DATA
Mobile
Apps
Devices
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.3
Engaging 100% of data to gain competitive
advantage
Data volumes
Accuracyandinsight
CRM ERP Data warehouse Web Social Log files Machine data Semi-structured
Dark data
Big Data
Traditional
enterprise
data
Unstructured
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.4
1) Data volumes are
growing dramatically
2) Different categories
of data exist
Because of…..
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.5
3) Not all data needs to be
stored
4) More demands are being
placed on data
Because of…..
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.6
5) A lack of governance has
material effects
6) It’s a problem very few
have tackled
Because of…..
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.7
HP HAVEn
Big Data platform
HAVEn
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
hp.com/Haven
Social media IT/OT ImagesAudioVideo
Transactional
dataMobile Search engineEmail Texts Documents
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.8
HP HAVEn Business-driven Big Data use cases
• Fraud detection
• Anti-money
laundering
• Risk management
• Broadcast
monitoring
• Churn prevention
• Advertising
optimization
• Supply chain
optimization
• Defect tracking
• RFID Correlation
• 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
FunctionIndustry
Finance Telecom Manufacturing Energy HealthcareGovernment
Marketing Customer Supply chain Risk mgmt. HR, ITSales
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.9
HP apps built on HAVEn
The HAVEn developer program
http://dev.hp.com/haven
HP Operations Analytics HP Digital Marketing HubHP Service Anywhere
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.10
HAVEn engines for insight – Context, Speed &
Scale
Core technology - HP Vertica Analytics
Platform:
Purpose-built analytics platform to manage petabytes of
data at massive scale with blazing-fast analytics
How it works:
Columnar architecture with intelligent data compression,
built-in analytic functions, and open integration to meet
analytic use cases
Illustrative use case:
Clickstream analytics
Key advantage:
Manage and analyze massive volumes of data in
seconds,
not weeks
Spectrum of use cases:
Operations analytics. sensor data analytics,
patient analytics, customer analytics
HP Vertica
Core technology - HP IDOL:
Information platform for processing free text, audio,
video, image and structured data
How it works:
Probabilistic modeling and
pattern-matching to understand
concepts in information
Illustrative use case:
Voice of the Customer
Key advantage:
Analyze diverse forms of unstructured information to
probe and explore data
Spectrum of use cases:
Information governance, eDiscovery, knowledge
management, video surveillance
HP Autonomy
Analyze
100% of
your
informatio
n with
context,
speed and
scale
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.11
HP IDOL Strategic Roadmap
Today Tomorrow
IDOL
IDOL Enterprise
Premise-based
Vertical Solutions
IDOL for Big Data
HAVEn connections to Hadoop,
Vertica, ArcSight, and
SalesForce.com
Increased features, manageability,
reliability and scalability
IDOL OnDemand
Strategic shift to the cloud
Expose IDOL functions as web
service APIs to enable mobile and
web developers to easily build next
gen apps
IDOL API Marketplace
Open API ecosystem
Provide users a marketplace to
discover, access and integrate
APIs
The evolution of HP IDOL technology
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.12
Announcing IDOL OnDemand
Easy-to-use web service to power the next generation of applications
IDOL
POWERE
D
www.idolondemand.com
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.13
Imagine better products and services
China Mobile
NASCAR
AVIS
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.14
NASCAR enriches experiences
Challenge:
Establish scalable, real-time approach to engage fans across all
channels to deliver unique fan and broadcast experiences
Solution:
• HP Interactive Media Command Center, powered by HP
Autonomy
• Autonomy IDOL + Autonomy Explore + Autonomy Media
Aggregation Service
Results:
• NASCAR Fan and Media Engagement Center collects and
aggregates fan and media information for instantly actionable
insights
• Understands sentiment, identifies emerging issues, and
uncovers trends that help the NASCAR team share and enrich
the fan and broadcast experience
“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.”
Steve Worling
Senior Director of IT, NASCAR
Understand
the voice of
your
customer (as
well as your
workforce)
Automatically
understand
video
channels in
many
languages
Automatically
detect threats
and patterns
with video
surveillance
Capture and
analyze big
data for
business
insights
Transform
clinical
understandin
g of
healthcare
data
15
Identify important influencers and topic clusters
Customer Interaction analytics
Understand
the voice of
your
customer (as
well as your
workforce)
Automatically
understand
video
channels in
many
languages
Automatically
detect threats
and patterns
with video
surveillance
Capture and
analyze big
data for
business
insights
Transform
clinical
understandin
g of
healthcare
data
16
Autonomy ExploreCloud
• Analyze multichannel data
regardless of type, source,
language or location
• Contextual and conceptual
insights
• Plug and Play with built-in
social media connections
• Audience-centric ‘Command
Center’ based upon widgets
• Integrate with existing
structured data repositories
Get the 3600 intelligence with ease
Understand
the voice of
your
customer (as
well as your
workforce)
Automatically
understand
video
channels in
many
languages
Automatically
detect threats
and patterns
with video
surveillance
Capture and
analyze big
data for
business
insights
Transform
clinical
understandin
g of
healthcare
data
© Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.17
Explore flexible deployment options
Highlights
• “Offshore” delivery of high-quality, low-cost
applications services
• WW IDS-connected hubs/centers offer
24/7 delivery, with language, technical,
and industry skills
Locations
• 7 Global Delivery Hubs: India,
Philippines, China, Argentina, Costa Rica,
Egypt, Poland
• 15 Global Delivery Centers
Highlights
• “Nearshore,” mid-cost apps service
delivery supporting region-specific demand
• WW IDS-connected hubs & centers best
for clients with region-specific
requirements, including language and time
zone needs
Locations
• 7 Regional Delivery Hubs: USA, Canada,
Australia, New Zealand, UK, Spain, Brazil
• 10 Regional Delivery Centers
Highlights
• “Onshore” and higher cost delivery at client
sites & from local HP offices
• Best for clients requiring highly custom
solutions, in-person collaboration, country-
specific security & privacy clearances
Locations
• Local Delivery in ~57 countries, from
~369 Local Delivery locations
across all ES Regions
HP Industrialized Delivery
System
Global delivery Local deliveryRegional delivery
18
Association of Train Operating Companies
Control Challenger
Goal: Increase account registrations
Scope: 2.7 Million Unique Visitors
Duration: 10 weeks
Registration Success: +60.82% lift (99% confidence)
Potential value: +21,000 Completed Signups per year
National Rail Enquiries – First Test
19
Connect with your colleagues
• Personalization, expertise locator, agents, community, similar people
• Foster collaboration by automatically matching and connecting employees with similar
needs
Experts
Communities
Files
Social
20
Analytics and Visualization: Patterns, Trends, and ‘Unknowns’
Investigations Module
Text Analytics
• Information Categorization / Clusters
• Query Guidance for Conceptual Search
Relationship Analysis
• Social Network Analysis
• Message Lifecycle
Visualizations
• Maps
• Tracers
• 2D / 3D Clusters
Understand
the voice of
your
customer (as
well as your
workforce)
Automatically
understand
video
channels in
many
languages
Automatically
detect threats
and patterns
with video
surveillance
Capture and
analyze big
data for
business
insights
Transform
clinical
understandin
g of
healthcare
data
21
Boston bombings investigation relied
on video feeds and smartphone videos
on the web, as well as proprietary data
Video is now serious business
22
Met Police monitors social media to
enhance intelligence and security
Objective
• Leverage social media during London Olympics to
improve police operations
• Determine new community influencers and gather
early insight into relevant issues
• Create more effective community engagement and
derive accurate analysis of social media sentiment
Solution
• Autonomy Explore
• Process 2.3M+ tweets/day (3.3M during Olympic
opening ceremony)
• Ingest feeds from multiple, diverse data sources
• Track community news updates
Results
• Identified a connection between two
intelligence targets that had not been known
previously
• Ensured proportionate and appropriate
operational response to highly-sensitive
community events
• Identified several, unknown, potential
witnesses to a fatal stabbing
• Forwarded-on local tweets concerning
community incidents, and responded to
erroneous tweets
Understand
the voice of
your
customer (as
well as your
workforce)
Automatically
understand
video
channels in
many
languages
Automatically
detect threats
and patterns
with video
surveillance
Capture and
analyze big
data for
business
insights
Transform
clinical
understandin
g of
healthcare
data
23
To learn more

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HP Software Performance Tour 2014 - Vincere i Big Data con HP HAVEn

  • 1. Vincere i Big Data con HP HAVEn Baveno, 17-18 Giugno 2014 Danilo Piatti Regional Manager EMEA South – Autonomy, HP Software
  • 2. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.2 695,000 status updates 98,000+ tweets 698,445 Google searches 1,820TB of data created 11million instant messages 168 million+ emails sent 217 new mobile web users Growing Internet of Things (IoT) Pervasive Connectivity Explosion of Information Smart Device Expansion Every 60 seconds 2014 A new style of IT required for IoT solutions By 2020 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 We are in a new era of accelerated innovation 30 Billion(1) DATA Mobile Apps Devices
  • 3. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.3 Engaging 100% of data to gain competitive advantage Data volumes Accuracyandinsight CRM ERP Data warehouse Web Social Log files Machine data Semi-structured Dark data Big Data Traditional enterprise data Unstructured
  • 4. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.4 1) Data volumes are growing dramatically 2) Different categories of data exist Because of…..
  • 5. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.5 3) Not all data needs to be stored 4) More demands are being placed on data Because of…..
  • 6. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.6 5) A lack of governance has material effects 6) It’s a problem very few have tackled Because of…..
  • 7. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.7 HP HAVEn Big Data platform HAVEn 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 hp.com/Haven Social media IT/OT ImagesAudioVideo Transactional dataMobile Search engineEmail Texts Documents
  • 8. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.8 HP HAVEn Business-driven Big Data use cases • Fraud detection • Anti-money laundering • Risk management • Broadcast monitoring • Churn prevention • Advertising optimization • Supply chain optimization • Defect tracking • RFID Correlation • 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 FunctionIndustry Finance Telecom Manufacturing Energy HealthcareGovernment Marketing Customer Supply chain Risk mgmt. HR, ITSales
  • 9. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.9 HP apps built on HAVEn The HAVEn developer program http://dev.hp.com/haven HP Operations Analytics HP Digital Marketing HubHP Service Anywhere
  • 10. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.10 HAVEn engines for insight – Context, Speed & Scale Core technology - HP Vertica Analytics Platform: Purpose-built analytics platform to manage petabytes of data at massive scale with blazing-fast analytics How it works: Columnar architecture with intelligent data compression, built-in analytic functions, and open integration to meet analytic use cases Illustrative use case: Clickstream analytics Key advantage: Manage and analyze massive volumes of data in seconds, not weeks Spectrum of use cases: Operations analytics. sensor data analytics, patient analytics, customer analytics HP Vertica Core technology - HP IDOL: Information platform for processing free text, audio, video, image and structured data How it works: Probabilistic modeling and pattern-matching to understand concepts in information Illustrative use case: Voice of the Customer Key advantage: Analyze diverse forms of unstructured information to probe and explore data Spectrum of use cases: Information governance, eDiscovery, knowledge management, video surveillance HP Autonomy Analyze 100% of your informatio n with context, speed and scale
  • 11. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.11 HP IDOL Strategic Roadmap Today Tomorrow IDOL IDOL Enterprise Premise-based Vertical Solutions IDOL for Big Data HAVEn connections to Hadoop, Vertica, ArcSight, and SalesForce.com Increased features, manageability, reliability and scalability IDOL OnDemand Strategic shift to the cloud Expose IDOL functions as web service APIs to enable mobile and web developers to easily build next gen apps IDOL API Marketplace Open API ecosystem Provide users a marketplace to discover, access and integrate APIs The evolution of HP IDOL technology
  • 12. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.12 Announcing IDOL OnDemand Easy-to-use web service to power the next generation of applications IDOL POWERE D www.idolondemand.com
  • 13. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.13 Imagine better products and services China Mobile NASCAR AVIS © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
  • 14. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.14 NASCAR enriches experiences Challenge: Establish scalable, real-time approach to engage fans across all channels to deliver unique fan and broadcast experiences Solution: • HP Interactive Media Command Center, powered by HP Autonomy • Autonomy IDOL + Autonomy Explore + Autonomy Media Aggregation Service Results: • NASCAR Fan and Media Engagement Center collects and aggregates fan and media information for instantly actionable insights • Understands sentiment, identifies emerging issues, and uncovers trends that help the NASCAR team share and enrich the fan and broadcast experience “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.” Steve Worling Senior Director of IT, NASCAR Understand the voice of your customer (as well as your workforce) Automatically understand video channels in many languages Automatically detect threats and patterns with video surveillance Capture and analyze big data for business insights Transform clinical understandin g of healthcare data
  • 15. 15 Identify important influencers and topic clusters Customer Interaction analytics Understand the voice of your customer (as well as your workforce) Automatically understand video channels in many languages Automatically detect threats and patterns with video surveillance Capture and analyze big data for business insights Transform clinical understandin g of healthcare data
  • 16. 16 Autonomy ExploreCloud • Analyze multichannel data regardless of type, source, language or location • Contextual and conceptual insights • Plug and Play with built-in social media connections • Audience-centric ‘Command Center’ based upon widgets • Integrate with existing structured data repositories Get the 3600 intelligence with ease Understand the voice of your customer (as well as your workforce) Automatically understand video channels in many languages Automatically detect threats and patterns with video surveillance Capture and analyze big data for business insights Transform clinical understandin g of healthcare data
  • 17. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.17 Explore flexible deployment options Highlights • “Offshore” delivery of high-quality, low-cost applications services • WW IDS-connected hubs/centers offer 24/7 delivery, with language, technical, and industry skills Locations • 7 Global Delivery Hubs: India, Philippines, China, Argentina, Costa Rica, Egypt, Poland • 15 Global Delivery Centers Highlights • “Nearshore,” mid-cost apps service delivery supporting region-specific demand • WW IDS-connected hubs & centers best for clients with region-specific requirements, including language and time zone needs Locations • 7 Regional Delivery Hubs: USA, Canada, Australia, New Zealand, UK, Spain, Brazil • 10 Regional Delivery Centers Highlights • “Onshore” and higher cost delivery at client sites & from local HP offices • Best for clients requiring highly custom solutions, in-person collaboration, country- specific security & privacy clearances Locations • Local Delivery in ~57 countries, from ~369 Local Delivery locations across all ES Regions HP Industrialized Delivery System Global delivery Local deliveryRegional delivery
  • 18. 18 Association of Train Operating Companies Control Challenger Goal: Increase account registrations Scope: 2.7 Million Unique Visitors Duration: 10 weeks Registration Success: +60.82% lift (99% confidence) Potential value: +21,000 Completed Signups per year National Rail Enquiries – First Test
  • 19. 19 Connect with your colleagues • Personalization, expertise locator, agents, community, similar people • Foster collaboration by automatically matching and connecting employees with similar needs Experts Communities Files Social
  • 20. 20 Analytics and Visualization: Patterns, Trends, and ‘Unknowns’ Investigations Module Text Analytics • Information Categorization / Clusters • Query Guidance for Conceptual Search Relationship Analysis • Social Network Analysis • Message Lifecycle Visualizations • Maps • Tracers • 2D / 3D Clusters Understand the voice of your customer (as well as your workforce) Automatically understand video channels in many languages Automatically detect threats and patterns with video surveillance Capture and analyze big data for business insights Transform clinical understandin g of healthcare data
  • 21. 21 Boston bombings investigation relied on video feeds and smartphone videos on the web, as well as proprietary data Video is now serious business
  • 22. 22 Met Police monitors social media to enhance intelligence and security Objective • Leverage social media during London Olympics to improve police operations • Determine new community influencers and gather early insight into relevant issues • Create more effective community engagement and derive accurate analysis of social media sentiment Solution • Autonomy Explore • Process 2.3M+ tweets/day (3.3M during Olympic opening ceremony) • Ingest feeds from multiple, diverse data sources • Track community news updates Results • Identified a connection between two intelligence targets that had not been known previously • Ensured proportionate and appropriate operational response to highly-sensitive community events • Identified several, unknown, potential witnesses to a fatal stabbing • Forwarded-on local tweets concerning community incidents, and responded to erroneous tweets Understand the voice of your customer (as well as your workforce) Automatically understand video channels in many languages Automatically detect threats and patterns with video surveillance Capture and analyze big data for business insights Transform clinical understandin g of healthcare data

Editor's Notes

  1. Today, powerful processors are embedded into almost any kind of device. Operating systems for such devices have become small and powerful enough to facilitate a wide range of functions and interactions—and almost anything can be connected to the Internet. This is often referred to as the Internet of Things (IoT). Billions of devices can be tracked, gather and process information, or provide a service—all while seamlessly interacting with other data. Billions more are expected to come online. By 2020, 30 billion serving a planet of 8 billion people. There is an incredible amount of information out there being generated, accessed and analyzed. 40 trillion gigabytes (Exabytes) of data are predicted by 2020. It is not just about cell phones and tablets connected to the internet, but millions of sensors collecting data, and also machine to machine communications. All this requires a server infrastructure working in the background to deliver the service levels and seamless experience that people now expect. The IoT presents companies with exciting new ways to drive market differentiation, deepen customer relationships, and deliver growth and profitability—forever changing consumer-business interaction. The IoT solutions required to capitalize on these new opportunities require a new style of IT (1) IDC Directions 2013: Why the Datacenter of the Future Will Leverage a Converged Infrastructure, March 2013, Matt Eastwood – “IDC projects there will be 30B connected devices in 2020” (2) & (3) IDC Predictions 2012: Competing for 2020, Document 231720, December 2011, Frank Gens (4) http://en.wikipedia.org Other background points: “This is the end of business as usual. Any organization that discounts the role people play in the interworking of society and commerce will miss an opportunity for collaboration, co-creation, and eventually, relevance.” ~ Brian Solis Big Data is a game changer. Enterprises must connect information and insight across the business ecosystem to compete. Timely access to the right information by the right person can mean the difference between making a good or bad decision. Companies must redefine how they capture, manage, and analyze data because growth and innovation simply can’t take place without information. For instance…let’s look at the rise of sensors. Today’s sensor and social technologies have given every person with an opinion a soapbox. You need to listen to, understand, engage, and delight them. Incorporating this type data into your information ecosystem is about providing a better experience. It is also about risk management, as United Airlines can attest: the famous guitar incident caused it to lose billions of dollars in market capitalization overnight. Everything has changed in the digital age because digital footprints are everywhere. Embedded sensors are the next tidal wave of Big Data. Let’s take a look at what’s happening in sensor analytics. The whole new trend of Smartwear is creating unforeseen opportunities. Jawbone’s well-known health band or Nike’s Fuelband, for example, can monitor sleep and daytime activity. Embedded sensors such as ingestible sensors, which are already available, are the next frontier. Pills with chips inside communicate with a smartphone app as they pass through the body. Smartphone and tablets are the intermediaries that are making new wearable movement possible. Data from these sensors enables spotting of vital changes that is more critical for our health than prescribed medications. Soon, we will all have our body’s digital signatures, and machines will be monitoring for new patterns and adjusting for age-related changes. Envisage the new possible insights when that data is integrated with our social media and location data, and seasonal and weather patterns.   Here is another real-life example: highly sensitive vibration sensors embedded into hospital beds and floors could detect patient vital signs such as breathing, heartbeat, pulse, sudden tremors, position changes, falling, or not being able to get back to the bed after a certain amount of time. Doctors and nurses get notified promptly if specific patients need immediate attention. Imagine the kind of analytics and value that can be derived by combining this data with patient and diagnostic data, across all hospital beds and all hospitals.   Knowledge that is acquired by deep insight and intelligence gleaned from your information powers innovation and good business decisions—and are vital for your survival in the digital age. Let’s take a look at some examples where knowledge from insight and intelligence within information is changing our world.
  2. Today we generate, collect and retain vast quantities of information, but much of it still goes under-utilized, think about the large quantity of information we keep for compliance and/or security reasons that could be better leveraged to understand customer behaviour, productivity or potential loss/fraud. This is co called “dark data”, we’ve got it, but we’ haven’t figured out how to analyse it – and so it sits on our storage, generating waste and more frighteningly, creating potential compliance, privacy and legal risks. Why aren’t we tackling this already? Largely because the cost/benefit (the ROI) of managing this data isn’t clear, so rather than invest more to manage it, it goes neglected. The ONLY way to eliminate Dark Data is to lower the incremental cost of analytics across the entire spectrum of data so that you no longer have to ask the question “can I afford to” but rather “can I afford not to?".
  3. First, and not a surprise to most, data volumes are growing rapidly – and appear to be getting worse with the increased use of rich media. Most expect both structured and unstructured data to grow at about 60% -- and that this data will be stored in many places, meaning that data may be stored more than once. It’s therefore becoming clear that this problem will eventually get too big… so big that it may one day become an unsolvable problem, no matter how many resources you throw at it.
  4. Second, there is a greater awareness that not all data has the same value, and thus not all data should be managed the same way. Only a small percentage is generally required to be retained for legal or regulatory purposes. More executives are beginning to realize that much of their data has value that they can tap into for productivity or added strategic insight (about 25%), but few have the current ability to do so. But perhaps most important, that means that almost 70% of data has no real value at all.
  5. Fifth, it’s becoming increasingly clear that ignoring the problem will have negative repercussions. This can manifest itself in fines and sanctions, wasted productivity, wasted IT spend, or costs associated with dealing with data security breaches. Regardless of the negative outcome, the potential risk and cost is simply too high to ignore today.
  6. Big data opportunities are happening everywhere. And HP is helping to make them happen. More importantly, as we do this, we are seeing repeat patterns and use cases. With HP A&DM you can leverage our deep domain expertise and an extensive library of business-driven use cases that cut across a wide range of industries and functions. There are many more use cases for a vast amount of business and operational functions. Marketing Drive returns from better marketing spend allocation across traditional and social media Build on sentiment analysis to increase unaided and positive brand awareness Sales effectiveness Generate viable leads from social marketing campaigns Increase effectiveness of sales pursuit and conversion Customer Provide context-aware experiences across all traditional customer touchpoints and social media Reduce cost of service and improve customer support experience Supply chain Reduce demand-supply mismatch through better forecasting and collaboration Drive savings from spend forecasting and consolidation Risk Management/Fraud Gain insights generated from internal and external data around systemic fraud Test controls and enable revenue hedging with continuous monitoring and better audit sampling HR, IT Allocate/match workforce for efficient usage Monitor and assess IT performance indicators and assess business impact analysis Other horizontal use cases: Social CRM/network analysis Churn mitigation Brand monitoring Loyalty & promotion analysis Marketing campaign optimization Brand management Social media analytics Pricing optimization Logistics optimization Clickstream analysis Influencer analysis IT infrastructure analysis
  7. HP and our partners are delivering numerous apps on top of HAVEn. Let’s look at 3 apps we’ve built on HAVEn ourselves: HP Operations Analytics, HP Service Anywhere, and HP Digital Marketing Hub [ROLL VIDEO] You just saw three examples of HAVEn-powered apps from HP – with the power of HAVEn, we fundamentally transformed IT Operations, IT service management, and digital marketing. No one else – neither the incumbents, nor the new players have these capabilities… …and beginning today, we’re opening up the doors to further innovation with the HAVEn developer program. The developer community is now able to build on the leading big data platform from HP – leveraging our tools, APIs, code and more to create big data applications specifically tailored to their needs. Visit us at dev.hp.com/HAVEn to get started.  HAVEn is a pan-HP platform. HP Enterprise Services, HP Enterprise Group, and HP Labs are delivering solutions based on HAVEn. [ADVANCE]
  8. ROBERT
  9. CHINA MOBILE” Largest mobile operator on the planet with over 740 million subscribers HP IDOL will power the search capability of Wireless City — China Mobile’s #1 strategic initiative Search for over 8,000 mobile apps HP Autonomy stood out. We believe that the unique conceptual search capabilities of HP IDOL helps us deliver an unmatched experience and a highly valuable service to our customers” - Cao Yang, Project Manager, Wireless City, China Mobile NASCAR’s “product” is more than the race day. It’s the fan-site on the web too. They monitor the sentiment on this site so that they can offer a better experience for their fans. Great story : when it rains, NASCAR use a huge machine to suck the rain from the track. NASCAR assumed customers would hate the period while the “sucker” was doing its thing. No so – analysis of twitter feeds found that the fans found the machine fascinating. So now NASCAR makes more of a thing of the sucker!! AVIS Avis has over 5,000,000 unique visitors to its web sites every month. Their head of online marketing had a hunch that business travelers would want GPS, but needed the insight to be able to prove to Finance that it made good business sense… Product: Autonomy Optimost – powered by IDOL – as a key pillar of their growth strategy. HP helped Avis analyze various price points and offers. Tested 20,000 website iterations. Result: They found was that while business travel budgets were being cut, business travelers were more price insensitive than expected. In fact, they learned they could actually increase the price with minimal drop in demand. We helped them obtain additional $5M dollars from higher pricing while others were cutting prices and losing money.
  10. NASCAR needed to be able to make all their structured and unstructured data relating to the racing industry - from Facebook and Twitter to print, radio and TV. NASCAR wanted to be able to analyze all data in order to better understand fan sentiment, identify emerging issues, and uncover trends so they might be able to take some meaningful action to enhance its fan experience. They participated in an HP Big Data Strategy Workshop to understand how to leverage HP Autonomy services and software to help them make sense of the flood of data being generated by social media and traditional media. Some example outcome: The Charlotte Motor Speedway can track conversations and levels of interaction about a recent ticket promotion. A sponsor can now follow track response and media coverage about a new marketing campaign to measure its success and leverage winning strategies for future campaigns. “FMEC’s uses are really endless,” says Doherty, “and the system gives us a lot of flexibility to segment the data to provide custom-tailored analytics to each of the groups within the NASCAR ecosystem.” http://www.cioinsight.com/it-strategy/business-intelligence/nascar-uses-big-data-to-better-engage-with-fans/
  11. Key points: Volume of Social Media is growing too fast to be processed manually The nature of social media is hard for basic technology to understand – short tweets, video, slang, etc. To get value from Social Media, you must understand its meaning – not keywords and arbitrary categorization Businesses must be able to understand customer sentiment and issues in real-time to proactively and appropriately respond Autonomy provides solutions for social collaboration, governance and analysis
  12. Key Points Integral part of any marketing analytics suite. Hosted service with available MAS Explore is designed for consumers and creators of data alike not statisticians
  13. HP Industrialized Delivery System This next-generation, interconnected delivery model uses standard methods, processes, and tools to provide high-quality, innovative services at a low cost. Features include: Flexible deployment options: onshore, offshore, managed, and hosted services Resource Augmentation Consistent methods, tools, and processes Agile capacity management   HP A&DM consultants are located across 13 HP Global Delivery Centers worldwide.   Global delivery facts: • There are 7 countries (hubs)—India, China, Philippines, Argentina, Costa Rica, Egypt, and Warsaw. A&DM has a presence in each of these hubs. • Some country hubs have multiple centers (India, China, & Argentina), thereby pushing the total number of Global Delivery Centers to 15. • Of the 15 Global Delivery Centers: A&DM has a strong presence in 9 A&DM has a light presence in 4—Wuhann, Beijing, Cordoba, San Jose A&DM has no presence in 2—Dalian, Rosario Regional delivery facts: • There are 5 countries (hubs)—USA, Brazil, UK, Spain, and Australia/New Zealand • There are 10 Regional Delivery Centers located within the 5 hubs: A&DM has not yet utilized the Regional Delivery Centers A&DM has a light presence in El Paso
  14. Unlike other search vendors who merely try to find information, we discover actionable insights. We find things that you weren’t even looking for but making connections with related pieces of information and finding patterns in data. 500+ advanced functions, including automatic clustering, implicit query, personalization, alerting, delivering real-time insights In sum, we can create expert communities to encourage collaboration and expertise location, discover insights by detecting trends developing in information, and drive worker productivity by delivering relevant information, automatically.
  15. Note(s) for the Presenter: Main Point(s): Slide Transition: Highlight(s):
  16. You may think of video as a toy. It can solve incredibly serious thing. Rich media has gone from a luxury to a necessity. It drives mission-critical decisions that affect all organizations It’s incredibly interesting, it’ll have real usage, real business value, and it’s relevant to you. Let’s explore how analyzing rich media can transform your organization
  17. https://eip.autonomy.com/eip_docs/Sales/Case%20Study/Power/FINAL_MPS_SMA_Case_Study.pdf
  18. If you’d like to learn more about HP’s information governance vision, we’d be happy to continue the conversation. You can also go to our microsite (link on this page). Here, you can learn more about each of our market offerings, download our white papers and analyst reports, and watch our videos to learn more. Thank you for your time.