Seminário Big Data, 19/05/2014 - Apresentação Federico Grosso
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Seminário Big Data, 19/05/2014 - Apresentação Federico Grosso
- 1. © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. The Opportunity
- 2. © 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 Amazon iHandy PingMe PingMe Associatedcontent Flickr Snapfish Answers.com Tumblr. Urban Scribd.Pandora MobileFrame.com Mixi CYworld Renren Xing 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 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 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 AssetsCosting 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
- 3. © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.3 Actionable big data Intelligent networks 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
- 4. © 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
- 5. © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.5 Big data use cases are business-driven and cut across a wide range of industries & functions Big Data Opportunities across industries and use cases Government Telecom Manufacturing Healthcare • 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
- 6. © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. The Challenge
- 7. © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.7
- 8. © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.8
- 9. © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.9
- 10. © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.10 Collaborative filtering
- 11. © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.11 Technology challenge Legacy 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
- 12. © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. The Solution
- 13. © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.13 Enterprise Security Big Data landscape Machine Data Human Information Business Data Autonomy Vertica Hadoop
- 14. © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.14 HAVEn – big data platform HAVEn Social media IT/OT ImagesAudioVideo Transactional dataMobile Search engineEmail Texts Catalog 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 hp.com/haven
- 15. © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.15 AUTONOMY IDOL: the OS for human information Only 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
- 16. © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. HAVEn in Action
- 17. © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.17 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
- 18. © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.18 NASCAR is driving innovation and enhancing its fan experience with 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 driver NASCAR 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 ahead The 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.
- 19. © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Conclusion
- 20. © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
- 21. © Copyright 2013 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Obrigado
Notes de l'éditeur
- Every 7-10 years, technology delivery undergoes a tectonic shift; one that opens up new business and access models. A shift that changes the way technology is consumed and the value that it can bring. A change in what is possible. A removal of inhibitors that unleash the power of innovation. Today, mobility, social, big data, and the advent of cloud computing are representative of such shifts offering a new means for IT to help organizations accelerate progress towards solving their most pressing challenges (including speeding innovation, enhancing agility, improving financial management). These shifts can unleash the power of IT to not only support but help shape the business. There has been a lot of confusion in the market about what is Big Data and how to manage it. Many claim that there is a single tool that can meet all Big Data requirements and provide a solution to all of your needs. Big Data solutions need to incorporate many types of data:Social Media DataDisparate DocumentsWeb log dataMobile interactionsGeospatial Location InformationMachine Sensor DataVarious Security IntrusionsKey message:What is different is not just the volume, but variety and velocitySeveral of these techs did not exist 10 years ago – google search, facebook, tweetsYour customers are interacting with you in new waysYesterdays technology is not able to keep pace.\
- Combining the traditional with the new data sources – connecting the data into actionable insights
- Key messageWhen delivering HAVEn messaging talk at business level firstThe key message to leave – doing nothing is not a choice anymore – if you want to be a leader you have to lead and invest in big data
- Key message:it is happening across industries. HP is helping make it happenBut more importantly, as we do this, we are seeing repeat patterns and use casesStress the use cases that are more relevant to their industry
- Key messages:Data growth is too high, just like you would not put warehouse workload on an OLTP database, the volume, variety and velocity of Big Data does not lend itself to legacy technologies. It is either way too inefficient or way to costly. (aka. Existing warehouse products built for Tera sizes as opposed to the Peta or Yota sizes for today)There is a shortage of talent. You need a trusted consulting partner who can bring in some Big Data experience help to get these projects started and help you prioritize the use cases with the most ROIIT is constantly being asked to do more – provide insights on data. But legacy technologies don’t scale well to process Big Data and thus cost a lot of money. But the budgets are not growing. This leads to lack of insight to lines of business even with basic questions like – which of my customers is most likely to leave, or which customer is very influential on social networks and is currently unhappy
- Three distinct problems: machine data (logs), business information, human informationGrowth in machine and humanVertica structuredAutonomy unstructured. Building platform – add ESPAnd a natural place to put it… Hadoop data lake.Multiplicity for applications
- http://h30458.www3.hp.com/us/us/ezine/info-management-leaders/apr/the-dnc-leverages-big-data-for-a-big-win-in-2012.html/title/the-dnc-leverages-big-data-for-a-big-win-in-2012
- To further its innovative image, NASCAR has teamed with HP Enterprise Services to develop the NASCAR Fan and Media Engagement Center (FMEC), a resource that enables NASCAR to better serve the industry, media, and fans through a solution that facilitates near real-time response to traditional, digital, and social media. Further, HP innovations in social business help NASCAR analyze and determine the right voice, the right tone, and the right message to reach critical new audiences and increase the fan experience. Located in Charlotte, N.C., the facility opened in October 2012. The FMEC leverages information management and analytics solutions from HP to enable NASCAR to continuously listen to, monitor, and engage with leading media channels. NASCAR now has access to a complete analysis of all key forms of media, including print, television, radio, video, images and social media, which will provide the sports leader and its industry partners with actionable insights on trending news and conversations. By facilitating more collaboration around this information, NASCAR and its partners will be better equipped to enhance the fan experience.Highlights of the FMEC include: Provides real-time data capture and analysis of conventional media (i.e. video and audio) and social media (blog, Twitter, Facebook) to help understand fan behavior across all forms of mediaAllows NASCAR to directly share its “voice” with fans, facilitating direct and network discussionsTransforms data into meaningful and actionable business information across the enterprise and with teams and partnersSolutions are very flexible, being able to leverage NASCAR’s existing data assets and information provided from 3rd party agenciesProvides broadcast worthy visualizations and content
- Over the coming years, an organization’s Return on Information will be the single most important measure of success. Return on Information is the value that enterprises or governments derive from their investments in storing, managing, analyzing, and acting upon information. Return on Information is a strategic view of investment. It is the higher order measurement beyond the traditional ROI. Information value, by definition, is the reason for all Information Technology investment. There are three key factors in Return on Information: insight, time to value, and cost. Insight is the value extracted from all types of information; and the value of that insight is derived from the percentage of data that an organization analyzes, how deeply it analyzes that data, and how many people benefit from the analytics. Insight is about analyzing 100 percent of the data and ensuring that everybody who needs it understands what should drive critical enterprise decisions. The more right-time actionable insight, the greater the value an organization derives from its information.Time to value is the speed at which information insight is made available. We are in a new world which demands near-instant decisions on a 24x7x365 basis. As a result time to value has never been more important. The right people need the right information at the right time to maximize the value of the information.Total cost is how much enterprises spend on their information. Total cost comprises the Capital and Operational expenditures (CapEx, OpEx) required to store, manage, and analyze data. Many organizations don’t realize that, when they’re not managing or analyzing 100 percent of their data, they’re still paying ever-increasing costs to store and manage inert data. Therefore, they can often reduce their total costs by just actively managing their information. The three components of Return on Information translate to a simple equation. The value derived from actionable insight is inversely proportional to (divided by) the time to value; the sooner the insight is delivered, the greater the data value. Return on Information is the data value divided by the total cost.