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MessagePosté le: Jeu 29 Sep - 16:50 (2016)    Sujet du message: Big Data Financial Services Pdf Free Répondre en citant




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Feel free to return at any time to complete your downloads.Clear All End of content United StatesHewlett Packard Enterprise International CorporateCorporateAccessibilityCareersContact UsCorporate ResponsibilityEventsHewlett Packard LabsInvestor RelationsLeadershipNewsroomSitemapPartnersPartnersFind a PartnerPartner ProgramsSocialSocialLinkedInFacebookTwitterYouTubeCommunitiesCommunitiesDeveloper ForumsEnterprise BusinessCustomer ResourcesCustomer ResourcesEnterprise StorePublic Sector StoreEducation and TrainingEmail SignupLegalLegalPrivacyTerms of UseCookies Copyright 2016 Hewlett Packard Enterprise Development LP . Demand for mobile apps, deposits, and transactions are rising, and marketers are looking for Big Data solutions to expand business opportunities. See how HPE can help govern information correctly by storing the right data for the right reasons.PDF644KB PDF644KB Download the Analyst ReportOverviewContact Us%%labelchatonline%% 1-800-633-3600 (Support)1-877-686-9637 (Sales)Contact a Sales ExpertContact Customer SupportFind Local ResellersHPE Big Data solutions help financial institutions plan for, and successfully manage, shifting market trends and regulatory changes. China PnR used HPE Vertica to build a data warehousing analytics platform.PDF478 KBPDF478 KBRead NowEfficiencyMoscow-based Otkritie Bank, one of the largest private financial services groups in Russia, uses HPE Big Data solutions to get relevant, real-time information to improve decision making and analytics, and gain competitive advantage.PDF2 MBPDF2 MBRead NowRisk MitigationEkogenio handles a huge amount of real-time data without the need for huge servers or high powered PCs by leveraging HPE Vertica. Facing the challenge involves following a phased approach encompassing communication, a degree of cultural evolution, and leveraging good technology. Zhou Qing, research and development engineer, Xian Panorama Data Co., Ltd.PDF398 KBPDF398 KBRead NowRisk ManagementFinancial services organization, China PnR, suffered a data explosion and its existing tool could no longer cope with loading and aggregating data and performing real-time queries. Practice Areas Banking & Finance Commercial Competition & EU Law Corporate Dispute Resolution Franchising Intellectual Property International HR Services Outsourcing Privacy and Data Protection Public Projects and Procurement Real Estate Regulatory and Administrative Restructuring and Insolvency Tax Trade and Customs Transformational Projects .. Formerly, the supply of bulk reports was a time and human consuming job, whereas it takes minutes now.

Read this white paper for a quick primer on Dodd-Frank and what it means to you.PDF4.75 MBPDF4.75 MBRead the BrochureCase StudiesData AnalysisRisk ManagementEfficiencyRisk MitigationComplianceRecord KeepingData AnalysisXian Panorama Data Transforms Financial Market Intelligence with Big DataIDOL has helped to automatically search for and extract key concepts from a massive amount of text, video and audio data on a daily basis. The fourth is self-inflicted: trying to manage modern business using old tools. .. To learn more about our solutions for specific industries see the following:Information Governance for InsuranceInformation Governance for Banking and BrokerageInformation Governance for Asset ManagementPDF373 KBPDF373 KBRead the Overview BrochureHow HPE Vertica is Helping Financial Services Institutions Take on Big Data - and WinThree challenges facing financial services are external. Tap into dynamic markets, fluctuating asset valuations and other resources.When You Need Information FastTo meet compliance demands, you need information fast, but legacy systems cant manage the growing volumes and diversity of data. For a general understanding of how to achieve compliance and mitigate risk for Financial Services, read the overview brochure below. You need an information governance solution to help you access, understand and use all your data.

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