我認(rèn)為2013年將會(huì)是“大數(shù)據(jù)”(Big Data)元年。各種有關(guān)大數(shù)據(jù)的報(bào)導(dǎo)正充斥于每日的商業(yè)新聞中，它也是各種大小會(huì)議與展覽會(huì)的熱門(mén)主題，同時(shí)還將為安全與IT領(lǐng)域帶來(lái)嶄新的氣象。 無(wú)疑地，大數(shù)據(jù)正影響著我們?nèi)粘Ｉ钪械脑S多層面?；蛟S我現(xiàn)在問(wèn)這個(gè)問(wèn)題還太早，但無(wú)論如何，如果資料(特別是預(yù)測(cè)資料)如此重要的話(huà)，為什么這么多的企業(yè)無(wú)法做出更好的決策呢？ 以下是一個(gè)看好大數(shù)據(jù)發(fā)展前景的例子，從中可看到大數(shù)據(jù)的重要性： “EMC旗下信息安全公司RSA今天發(fā)布一項(xiàng)安全聲明指出，大數(shù)據(jù)將是改變整個(gè)安全產(chǎn)業(yè)的主要驅(qū)動(dòng)力量，它將催生以智能為導(dǎo)向的安全模式。大數(shù)據(jù)預(yù)計(jì)將顯著地改變信息安全的每個(gè)層面。” 預(yù)計(jì)在2015年以前，有關(guān)大數(shù)據(jù)的分析將對(duì)于信息安全領(lǐng)域中的大部份產(chǎn)品帶來(lái)改變市場(chǎng)的重大影響，包括SIEM、網(wǎng)絡(luò)監(jiān)測(cè)、用戶(hù)認(rèn)證與授權(quán)、個(gè)人身份管理、錯(cuò)誤偵測(cè)、管理、風(fēng)險(xiǎn)以及認(rèn)證制度等。 大數(shù)據(jù)也被認(rèn)為是供應(yīng)鏈的一大救星。實(shí)時(shí)需求信息以及社交媒體網(wǎng)絡(luò)應(yīng)該為廠商提供了最佳的預(yù)測(cè)信息。然而，高科技產(chǎn)業(yè)卻錯(cuò)過(guò)了第四季PC需求水位、未能提 出任何具開(kāi)創(chuàng)性的消費(fèi)技術(shù)，也未能成為企業(yè)市場(chǎng)的救星。惠普(HP)和戴爾(Dell)正開(kāi)始押寶于數(shù)據(jù)管理/資料安全市場(chǎng)。 根據(jù)IHS的調(diào)查，半導(dǎo)體供應(yīng)的管道不斷地增加，部份原因就在于于缺乏預(yù)測(cè)資料，“因而導(dǎo)致了芯片供貨商未能進(jìn)行制造業(yè)務(wù)最佳化，只能完全根據(jù)以往的需求來(lái)制造產(chǎn)品。在某些情況下，所預(yù)期的需求未能實(shí)現(xiàn)，對(duì)于原已滯銷(xiāo)的庫(kù)存徒增更多困擾。” 相較于預(yù)測(cè)資料，歷史需求雖然是一個(gè)更好的指針，但這也只在需求周期遵循以往的常規(guī)發(fā)展時(shí)才可能實(shí)現(xiàn)。但2012年卻不是這樣的情況。 所以我一直在想，蘋(píng)果公司決定削減組件訂單是否就是一種警訊？根據(jù)報(bào)導(dǎo)，由于iPhone 5的需求疲軟，蘋(píng)果公司開(kāi)始削減訂單。有人可能會(huì)說(shuō)蘋(píng)果公司削減訂單而非出貨量，是為了持續(xù)領(lǐng)先地位。然而，它也可能是因?yàn)轭A(yù)期年底假期后的需求減緩，以及 看到競(jìng)爭(zhēng)對(duì)手產(chǎn)品的熱銷(xiāo)狀況，因而做出了這一決定。 隨著企業(yè)開(kāi)始發(fā)布第四季財(cái)報(bào)，我認(rèn)為，供應(yīng)鏈將能學(xué)到更多如何善加利用資料的方式?；蛟S，在今年年底以前，我們將能看到更多大數(shù)據(jù)至關(guān)重要的更多證據(jù)。你認(rèn)為呢？ 本文授權(quán)編譯自EBN Online，版權(quán)所有，謝絕轉(zhuǎn)載 編譯：Susan Hong 參考英文原文：Will 2013 Be the Year of Big-Data?，by Barbara Jorgensen, EBN Community Editor

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{pagination} Will 2013 Be the Year of Big-Data? Barbara Jorgensen 2013 doesn't have a moniker yet, so I'm dubbing it the Year of Big-Data. Big-data is saturating business news releases, is the topic of conventions and trade shows, and will turn the security and IT business on its ear, if the hype is accurate. I don't mean to imply the hype isn't well deserved, and big-data is no doubt influencing many things I do day to day. It still may be too early to ask this question, but I'm going to anyway: If the data is so good, why are so many business decisions so bad? Here's one example of big-data promotion, chock full of "majors" and "dramatics": RSA, The Security Division of EMC Corporation (NYSE: EMC), today released a Security Brief asserting that Big Data will be a driver for major change across the security industry and will fuel intelligence-driven security models. Big Data is expected to dramatically alter almost every discipline within information security. The new Brief predicts Big Data analytics will likely have market-changing impact on most product categories in the information security sector by 2015, including SIEM, network monitoring, user authentication and authorization, identity management, fraud detection, governance, risk and compliance systems. Big-data is also thought to be the salvation of the supply chain. Real-time demand information and social media networking are supposed to give vendors the best possible information for forecasting. Yet, the tech industry -- which I'd expect to be early adopters of big-data -- missed the mark on fourth quarter PC demand; hasn't come up with any groundbreaking consumer technology; and hasn't been the salvation of the enterprise market yet. Both Hewlett-Packard and Dell are staking a claim in the data management/data security markets. Toward the end of last year, IHS reported that semiconductor supplies in the channel were growing, in part because of deficient forecasting: The result on the whole is that chip suppliers aren't running their manufacturing operations optimally, and also are manufacturing products solely based on historical demand. In some instances, projected demand also does not materialize, adding to the already slow-moving inventory pile. Historical demand is a better metric than forecasting, I suppose, but only when demand cycles are following historic norms. That wasn't the case throughout most of 2012. So I've been wondering whether Apple's decision to cut component orders is a signal that all of this data collection is working, or if it isn't. Apple reportedly cut orders because of softness in iPhone 5 demand. One could argue Apple's ahead of the curve by cutting orders rather than shipments. Then again, it could have anticipated a slowdown after the holiday season, and seen that competitors' products were selling pretty well. I think the supply chain will learn more about how well data is being used as fourth quarter earnings get released. And maybe by the end of this year, we'll see evidence that big-data is making a difference. What do you think?