Dipl.-Ing. Werner Plessl (Hewlett Packard)
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Sind Wirtschaft und Staat den stetig steigenden Datenmengen noch gewachsen? Wohin geht der Trend im Umgang mit unseren Massendaten als "Rohstoff" für effiziente Geschäftsprozesse? - Dipl.-Ing. Werner Plessl (Hewlett Packard)
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Dipl.-Ing. Werner Plessl (Hewlett Packard)
- 1. HP Big Data Sind Wirtschaft und Staat den stetig steigenden Datenmengen noch gewachsen? Wohin geht der Trend im Umgang mit unseren Massendaten als "Rohstoff" für effiziente Geschäftsprozesse?
- 2. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice.
- 3. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 4 Big Data: Definition Anders ausgedrückt, Big Data ist die Realisierung einer besseren Business-Intelligenz durch die Speicherung, Verarbeitung und Analyse von Daten, die zuvor aufgrund der Einschränkungen von traditionellen Datenmanagement -Technologien ignoriert wurden.
- 4. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 5 Companies today are data rich The Internet Client/Server Mobile, Social, Big Data & The Cloud Database ERP CRM SCM HCM HCM PLM MRM Amazon Web Services OpSource IBM GoGrid Rackspace Joyent Hosting.com Tata Communications Datapipe PPM Alterian Hyland LimeLight NetDocuments NetReach OpenText PaperHost Xerox Google HP Microsoft SLI Systems EMC IntraLinks Jive Software Qvidian Sage salesforce.com SugarCRM Volusion Xactly Zoho Adobe Avid Corel Microsoft Paint.NET Serif Yahoo CyberShift Saba Softscape Sonar6 Ariba Yahoo! Quadrem Elemica Kinaxis CCC DCC SCM Cost Management Order Entry Product Configurator Bills of Material Engineering Claim Processing Inventory Manufacturing Projects Quality Control Business Education Entertainment Games Lifestyle Music Navigation News Photo & Video Productivity Reference Social Networking Sport Travel Utilities every 60 seconds 400,710 ads requests 2000 lyrics played on Tunewiki 1,500 pings sent on PingMe 34,597 people are using Zinio 208,333 minutes Angry Birds played 13,148 apps downloaded Unisys Burroughs Hitachi NEC Bull Fijitsu ADP VirtualEdge Cornerstone onDemand CyberShift Workbrain Kenexa Saba Softscape Sonar6 SuccessFactors Taleo Workday Workscape Exact Online FinancialForce.com Intacct NetSuite SAP NetSuite Plex Systems Cash Management Accounts Receivable Fixed Assets Costing Billing Time and Expense Activity Management Payroll Training Time & Attendance Rostering Sales tracking & Marketing Commissions Service Data Warehousing 98,000 tweets Finance box.net Facebook LinkedIn TripIt Pinterest Zynga Zynga Baidu Twitter Twitter Yammer Atlassian Atlassian MobilieIron SmugMug SmugMug Atlassian Amazon Amazon iHandy PingMe PingMe Associatedcontent Flickr Snapfish YouTube Answers.com Tumblr. Urban Scribd. Pandora MobileFrame.com Mixi CYworld Qzone Renren Xing Yandex Yandex Heroku RightScale New Relic AppFog Bromium Splunk CloudSigma cloudability kaggle nebula Parse ScaleXtreme SolidFire Zillabyte dotCloud BeyondCore Mozy Viber Fring Toggl MailChimp Quickbooks Hootsuite Foursquare buzzd Dragon Diction eBay SuperCam UPS Mobile Fed Ex Mobile Scanner Pro DocuSign HP ePrint iSchedule Khan Academy BrainPOP myHomework Cookie Doodle Ah! Fasion Girl Mainframe …and information poor
- 5. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 6
- 6. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 7 Variety, Velocity, Volume, Time to Value The Challenges of Big Data 48% Worldwide information volume growth of digital content¹ 90% of digital content created by 2015 will be mixed data types ¹ 75% of currently deployed data warehouses will not scale sufficiently to meet new information velocity and complexity of demands by 2016² 86% of corporations cannot deliver the right information, at right time to support enterprise outcomes all of the time³ ¹Source: IDC Predictions 2013: Competing for 2020 ²Source: Gartner - The State of Data Warehousing in 2013 ³Source: Coleman Parkes Survey Nov 2013
- 7. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 8 Big Data http://www8.hp.com/de/de/software-solutions/ big-data-analytics-software.html http://www8.hp.com/de/de/business-services/ it-services.html?compURI=1240568#.U2NXJvmSxy4 http://www8.hp.com/de/de/business-services/ it-services.html?compURI=1378552#.U2Nb2fmSxy4 http://www8.hp.com/de/de/business-services/ it-services.html?compURI=1407389#.U2NcHvmSxy4 http://www8.hp.com/de/de/business-services/ it-services.html?compURI=1407349#.U2NcUPmSxy4
- 8. © Copyright 2014 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. 9 Big Data Services Die HP Big Data Services können Ihnen dabei helfen, Ihre IT-Infrastruktur neu auszurichten, um steigende Datenvolumen aus E-Mails, Social Media und Website-Downloads in den Griff zu bekommen und in verwertbare Informationen zu konvertieren. Unsere Big Data-Lösungen decken die Bereiche Strategie, Design, Implementierung, Schutz und Compliance ab. Die Bereitstellung unserer Lösungen läuft in drei Schritten ab: Big Data-Architekturstrategie: Wir definieren die Funktionen, die Sie benötigen, um die IT an Ihren Big Data-Initiativen auszurichten. Mithilfe von Transformations-Workshops und Roadmap-Services erfahren Sie, wie Sie geschäftsbezogene Informationen erfassen, konsolidieren, verwalten und schützen. Hierzu gehören u. a. strukturierte, teilstrukturierte und unstrukturierte Daten. Big Data-Systeminfrastruktur: HP Experten entwickeln und implementieren für Sie eine leistungsfähige, integrierte Plattform als Unterstützung für eine strategische Big Data-Architektur. Hierfür stehen verschiedene Design- und Implementierungsservices, Referenzarchitektur-Implementierungen und Integrationsservices zur Verfügung. Ihre flexible, skalierbare Infrastruktur unterstützt die breite Vielfalt, Konsolidierung und Analysen sowie die gemeinsame Nutzung und Datensuche auf HP Plattformen in Zusammenhang mit Big Data. Big Data-Schutz: Stellen Sie eine hohe Verfügbarkeit, Sicherheit und Compliance bei Big Data-Systemen sicher. Unsere Berater helfen Ihnen dabei, Ihre Daten zu schützen, gesetzliche Bestimmungen einzuhalten, einen durchgängigen Datenschutz in Ihrer Big Data-Umgebung sicherzustellen und Ihre Backup- und Continuity-Aktivitäten zu verbessern.
- 9. © Copyright 2012 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Thank you
Hinweis der Redaktion
- What is Big Data?
- Consider what we have reviewed as background, let’s apply that to Customer Experience. For the marketer today, the notion of making sense of emails, social media, surveys, blogs and other forms of unstructured data are key to better understanding a customer. In the marketplace, “big data” is a key marketing phrase that is drawing a lot of attention, with many vendors coming to market with new tools to address this growing issue. In reality, this is the exact issue that Autonomy has been addressing for over a decade. The core of the Autonomy marketing platform is Autonomy IDOL, which allows the marketer to gain a better understanding of a customer needs by examining all customer integrations across email, web, call center, survey, and social. Unlike many competitive solutions for CEM which only address a small portion (web server logs, site traffic, etc.), Autonomy is able to leverage all enterprise including audio, video and social data to truly create a dynamic and personalized customer experience.
- Key Points Some of the key results include: Nearly 70 percent of respondents agreed with the statements: “Gaining insight and effectively managing big data is strategic to our organization” and “An effective information optimization strategy will give our organization a competitive advantage”. Of the public sector respondents, 74 percent indicated that an effective information optimization strategy would give their organization a competitive advantage. As the CIO becomes the “Chief Information Optimizer”: 65 percent of respondents indicated they needed the skills of a Chief data Officer to bridge big data and drive enterprise insight, and it was the highest ranked from an importance perspective with almost 1 out of 2 selecting. However: Barely 50 percent of survey respondents indicated that they use all sources of structured, semi-structured and unstructured data to analyze and act. (subtheme… it’s not too late to start) Nearly 60 percent of business executives report that their organization is not equipped with the right solutions to gain insight from big data Nearly 40 percent of all executives report that their organization is not currently prepared in terms of having the right strategies, tools and policies in place to prevent data corruption and unauthorized access to their data Only 16 percent of executives said that IT immediately provides the right information at the point of need that enables them to obtain actionable insight that drives the right business outcome… (Up from 2 percent last year) Only 10 percent of executives said their organization currently incorporates unstructured data into their enterprise insights, processes, and strategy Transition: So What do they plan to do?: Over 90 percent reported that in the next three years, their organization plans to incorporate unstructured data into their enterprise insights, processes, and strategy