seminário big data, 19/05/2014 - apresentação federico grosso

© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

The Opportunity

© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.2

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

Facebook

LinkedIn

TripIt

Pinterest

Zynga

Zynga

Baidu

Twitter

Twitter

Yammer

Atlassian

Atlassian

MobilieIronSmugMug

SmugMug

Atlassian

Amazon

AmazoniHandy

PingMe

PingMe

Associatedcontent

Flickr

Snapfish

Answers.com

Tumblr.

Urban

Scribd.Pandora

MobileFrame.com

Mixi

CYworld

Renren

Xing

Yandex

Yandex

Heroku

RightScale

New Relic

AppFog

BromiumSplunk

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

Google

Microsoft

IntraLinks

Qvidian

Sage

SugarCRM

Volusion

Zoho

Adobe

Avid

Corel

Microsoft

Serif

Yahoo

CyberShift

Saba

Softscape

Sonar6

Ariba

Yahoo!

Quadrem

Elemica

Kinaxis

CCC

DCC

SCMADP VirtualEdge

Cornerstone onDemand

CyberShift

KenexaSaba

Softscape

Sonar6

Workscape

Exact Online

FinancialForce.com

IntacctNetSuite

Plex Systems

Quickbooks

eBay

MRM

Claim Processing

Payroll

Sales tracking & Marketing

CommissionsDatabase

ERP

CRM

SCM

HCM

HCM

PLM

HP

EMC

Cost Management

Order Entry

Product Configurator

Bills of MaterialEngineering

Inventory

Manufacturing Projects

Quality Control

SAP

Cash Management

Accounts ReceivableFixed AssetsCosting

Billing

Time and Expense

Activity ManagementTraining

Time & Attendance

Rostering

Service

Data Warehousing

The InternetGigabytes

Client/ServerMegabytes

Every 60 seconds

IBM

Unisys

Burroughs

Hitachi

NECBull

Fijitsu

Mainframe Kilobytes

Mobile, Social, Big Data & The Cloud

Zettabytes

217 new mobile web users

Yottabytes


Actionable big data

Intelligentnetworks

TelemetricsWeb content

New “big” data

Context Relevancy

Urgency Quality

Alignment

Semi-structured

& unstructured

Analytical environment

Traditional

data

Analytical environment

Core transaction systems

Other operational systems

Actionable

Analytics

© Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.4 © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.

Leverage your data, make it matter

Innovative companies are changing rules of the game

• Develop disruptive business models

• Create better products and services

• Enhance customer experience

• Drive sustained competitive advantage

All driven by the power of Big Data


Big data use cases are business-driven and cut across a wide range of industries & functionsBig Data Opportunities across industries and use cases

Government

TelecomManufacturi

ngHealthcare

• Sentiment analysis

• Social CRM / network analysis

• Churn mitigation

• Brand monitoring

• Cross and Up sell

• Loyalty & promotion analysis

• Web application optimization

• 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

• Drug development

• Scientific research

• Evidence based medicine

• Healthcare outcomes analysis

• Supply chain optimization

• Defect tracking

• RFID Correlation

• Warranty management

• Broadcast monitoring

• Churn prevention

• Advertising optimization

• Law enforcement

• Counter terrorism

• Traffic flow optimization

Horizontal Use Cases

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

Finance

• Fraud detection

• Anti-money laundering

• Risk management

Energy

• Weather forecasting

• Natural resource exploration


The Challenge


Collaborative filtering


Technology challengeLegacy techniques have all fallen short.

Stale technologies Talent shortage 86%of corporations cannot deliver the right information, at the right time to support enterprise outcomes all of the time³³Source: Coleman Parkes Survey Nov 2012

IT frustration Lack of insight

Girish Mundada

can we combine next slide


The Solution


Enterprise Security

Big Data landscape

Machine Data

Human Information

BusinessData

AutonomyVertica

Hadoop


HAVEn – big data platform

HAVEn

Social media IT/OT ImagesAudioVideoTransactional

dataMobile Search engineEmail Texts

Catalog 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

Documents

hp.com/haven


AUTONOMY IDOL: the OS for human informationOnly IDOL can handle the continuum of Human Information• Single processing layer for all data• Continuous learning ability• Superior speed, scalability, and simplicity• Built in security & compliance functionality• More than 400 seamless data connectors• Supporting 1,000+ file types• Language independent• Process data in-memory, in-time, and in-place

Ability to understand meaning makes us totally unique in the market


HAVEn in Action


Winning presidential elections

• Created an environment that let 100 data scientists pursue their ideas with predictable simplicity and high performance

• Made correlations in the data that would have been impossible for the ’08 election

• Effective utilization of television and marketing budget by using predictive modeling to optimize when and where to buy television ad time

“We were going to demand data on everything, we were going to measure everything, … We were going to put an analytics team inside of us to study us the entire time to make sure we were being smart about things.”- Jim Messina, Campaign Manager, Obama 2012

Girish Mundada

For HAVEn deck we need cross-component use cases. Lets collect several here, we can then pick the ones we like - about 4 to 6 cases


NASCAR is driving innovation and enhancing its fan experiencewith a state-of-the-art interactive media

command center created by HP Creating a win-win

HP is helping NASCAR with a plan to listen to its stakeholders and fans and give them what they want – more ways to engage with one another, more ways to engage with the drivers, and new ways to monetize the NASCAR brand.

Technology is the new driverNASCAR is innovating on and off the racetrack. By collaborating with HP on the creation of its Fan and Media Engagement Center, NASCAR is better able to serve the industry, media and fans through near real-time response to traditional, digital and social media.

A thrilling ride aheadThe creation of this state-of-the-art Fan and Media Engagement Center will enable NASCAR to stay connected to its fans across multiple channels and continue to improve and deliver what fans expect from NASCAR – and more.


Conclusion


Return on InformationHow do you measure value?

Total cost

=ROI

Return on Information

Volume & variety

Depth of analytic

s

# of users

Time to value

CapEx OpEx

INTELLIGENT INFORMATION INSIGHT


Obrigado

seminário big data, 19/05/2014 - apresentação federico grosso

Internet

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services forecast

accelerating innovation