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

Vincere i Big Data con HP HAVEn

Baveno, 17-18 Giugno 2014

Danilo PiattiRegional 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

Acc

ura

cy a

nd insi

ght

CRM ERP Data warehouse Web Social Log files Machine data Semi-structured

Dark data

Big DataTraditional 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 HAVEnBig Data platform

HAVEn

Catalogue massive volumes of distributed data

Hadoop/HDFS

Process and index all information

AutonomyIDOL

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 ImagesAudioVideoTransactional

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

Fu

ncti

on

Ind

ustr

y

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 VerticaCore 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 information 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 EnterprisePremise-basedVertical Solutions

IDOL for Big DataHAVEn connections to Hadoop, Vertica, ArcSight, and SalesForce.comIncreased features, manageability, reliability and scalability

IDOL OnDemandStrategic shift to the cloudExpose IDOL functions as web service APIs to enable mobile and web developers to easily build next gen apps

IDOL API MarketplaceOpen API ecosystemProvide 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 OnDemandEasy-to-use web service to power the next generation of applications

IDOLPOWERE

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 MobileNASCARAVIS

© 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

understanding 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

understanding 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

understanding 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 registrationsScope: 2.7 Million Unique VisitorsDuration: 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

understanding 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

understanding of

healthcare data

23

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