新聞稿: 2013年01月03日

HP 以嶄新資訊優化解決方案發揮大數據力量

全新產品協助企業推動「資訊回報」
» English

香港,2013年1月3日 — HP 今天宣佈推出全新及強化的資訊優化解決方案(Information Optimization Solutions),協助企業管理、理解及按機構數據的種類、速度及數量採取行動,從而推動最大的「資訊回報」(”Return on Information”)。

資訊回報是指機構投資於資訊解決方案、服務及資源中所產生的價值,藉著從數據中獲取精闢見解,作出更快及更佳的決策。

大數據包含來自傳統數據庫的結構化數據;由影像、錄像、電郵、文字等組成的非結構化數據;以及從感應器和機器收集而來的半結構化數據。它們正是現今機構所面對之挑戰的成因。

全球「數碼宇宙」的容積預計將於2015年達至8 zettabytes,(1) 令數據儲存及管理成為一項重大挑戰。根據HP委託進行的最新硏究顯示,在亞太區及日本53%企業行政人員表示其機構並未配備合適的解決方案以從大數據中取得見解。僅15%行政人員表示其機構目前正在把非結構化數據納入其企業的洞察力、流程及策略中。(2)

透過Autonomy及HP Vertica兩家HP附屬公司的全新解決方案,加上全新HP融合基礎架構解決方案及深入的專業服務知識,HP讓企業及政府從所有結構化、半結構化及非結構化資訊中擷取價值。

HP軟件部行政副總裁George Kadifa表示:「在未來數年,資訊回報將成為衡量機構成就的最重要指標。HP將繼續投資及開發解決方案和服務,以利用資訊的數量、多元化及不可預測性,為我們的客戶提供真正的價值。」

HP協助客戶以智能生態系統管理資訊
為應付配置及部署大數據系統的需要,HP今天擴展其HP AppSystems組合為客戶提供更佳選擇,及以 Apache™ Hadoop™、HP Vertica分析平台及 Autonomy eDiscovery環境擴展HP融合基礎架構之功能。

Autonomy法律及法規遵循性能套件(Autonomy Legal and Compliance Performance Suite)提供全面的雲端基礎平台,為協助機構簡化所有形式之資訊管治而設。由Autonomy Intelligent Data Operating Layer (IDOL)所驅動,該平台能自動替所有企業數據製定索引,為一個整合及高度有效的資訊管治策略奠定基礎,其包括存檔、eDiscovery,以及企業的內容、文件及紀錄管理。

HP Proactive Care for SAP優化運行SAP解決方案的基礎架構,從而更快捷地分析大量數據,包括應用程式趨勢分析、容量策劃及系統資源使用之量度。

全新強化的HP融合儲存(HP Converged Storage)組合能免除管理上之複雜性,降低成本及在虛擬、雲端及大數據環境下加快資訊之洞察力。

HP協助客戶智能化地理解數據
HP Vertica Analytics Platform 6.1是新一代的分析平台,專為優化大數據而建造。它讓企業利用超高速且極大規模的分析組合、性能提升、與Hadoop增強整合及經簡化的Amazon EC2雲端部署,從而優化大數據並從中獲利。

全新的HP Telco大數據及分析(HP Telco Big Data and Analytics)解決方案讓通訊服務供應商能把不同來源,包括用戶體驗及偏好之數據轉化成可執行的智能。利用HP的大數據分析軟件,以及HP顧問、研究、資訊管理及商業智能經驗,HP Telco大數據及分析方案,讓通訊服務供應商能管理、分析及使用與業務相關的結構化及非結構化數據。

HP大數據策略工作坊(HP Big Data Strategy Workshop)為客戶提供解決方案以應付部份最大的資訊挑戰,讓他們可利用其數據加快知情的決策。工作坊將教育客戶連繫IT與機構目標,並確認大數據結構及系統基礎架構策略之關鍵成功因素。此外,工作坊亦協助保護數據及法規遵循。客戶可藉此執行合適的解決方案,以處理數量、速度及種類皆不斷增長的機構資訊。

HP協助客戶按數據行動更快捷地作出明智、關鍵的決策
Autonomy 市場營銷性能套件(Autonomy Marketing Performance Suite)提供一個全面的雲端平台,以協助機構急劇提升市場佔有率,優化市場營銷開支及增加所有渠道之收入。該平台由一組全面的解決方案組成,包括優化每點擊付費(pay-per-click) 、網絡內容管理、多媒體管理,以及客戶服務中心、社交媒體與情感分析。

有關HP 於德國法蘭克福舉行的HP Discover Frankfurt新聞發佈會錄影及HP 於其主要客戶活動HP Discover Frankfurt所公佈之其他訊息,請瀏覽www.hp.com/go/HPDiscoverFrankfurt2012

新聞資料

(1) IDC Predictions 2012: Competing for 2020,文件編號231720,Frank Gens,2011年12月。
(2) “HP Research: Information Optimization,” Coleman Parkes Research,2012年10月。

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