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創(chuàng)業(yè)公司怎樣才能“打倒”彭博終端?

Matt Turck 2014年03月26日

Dan Primack專注于報(bào)道交易和交易撮合者,從美國(guó)金融業(yè)到風(fēng)險(xiǎn)投資業(yè)均有涉及。此前,Dan是湯森路透(Thomson Reuters)的自由編輯,推出了peHUB.com和peHUB Wire郵件服務(wù)。作為一名新聞工作者,Dan還曾在美國(guó)馬薩諸塞州羅克斯伯里經(jīng)營(yíng)一份社區(qū)報(bào)紙。目前他居住在波士頓附近。
彭博終端獲得長(zhǎng)期成功的一個(gè)重要原因是,除了數(shù)據(jù)和分析工具是它的賣點(diǎn)之外,更主要的是它本身基本上就是一個(gè)網(wǎng)絡(luò),是大量小眾產(chǎn)品的集合體,而且直到今天依然在不斷拓展,增加新的功能。不過(guò),這并不意味著金融界的初創(chuàng)公司完全沒(méi)有創(chuàng)新空間。

????(2)應(yīng)用商店。做應(yīng)用商店是利用一大批專業(yè)的第三方開(kāi)發(fā)者賺錢的一種有意思的方式(彭博也在兩年前開(kāi)了自己的應(yīng)用商店)。比如OpenFin公司就提供了部署內(nèi)部應(yīng)用商店所需要的基礎(chǔ)架構(gòu),解決了必要的合法性、安全性和互用性(也就是讓數(shù)據(jù)從一個(gè)工具流動(dòng)到另一個(gè)工具)的問(wèn)題。用內(nèi)部應(yīng)用商店基礎(chǔ)架構(gòu)網(wǎng)羅一系列最好用的應(yīng)用(比如能提供HTML5金融表格包括技術(shù)分析工具的ChartIQ),不失為開(kāi)拓彭博終端“下方”市場(chǎng)的一個(gè)好辦法,也就是瞄準(zhǔn)那些買不起整套彭博終端架構(gòu)的公司,使他們可以選擇一系列實(shí)際需要的應(yīng)用,在他們的環(huán)境中為他們服務(wù)。

????(3)數(shù)據(jù)眾包。從Estimize(從事分析預(yù)測(cè)眾包)和Premise(把宏觀經(jīng)濟(jì)數(shù)據(jù)眾包給世界各地通過(guò)智能手機(jī)工作的很多人)來(lái)看,一種全新的捕捉金融數(shù)據(jù)的方式已經(jīng)誕生了。金融數(shù)據(jù)搜索引擎Quandl已經(jīng)通過(guò)網(wǎng)頁(yè)信息采集和眾包社區(qū)貢獻(xiàn)的方式匯總了800多萬(wàn)個(gè)金融和經(jīng)濟(jì)數(shù)據(jù)集。一旦這樣的數(shù)據(jù)平臺(tái)建立起來(lái),第三方開(kāi)發(fā)者能否在上面添加分析工具和虛擬化工具,最終形成某種眾包模式的“終端”,讓它至少能執(zhí)行某些不是特別重要的、或者某些不需要實(shí)時(shí)完成的任務(wù)呢?

????(4)大數(shù)據(jù)分析。從數(shù)據(jù)中提取信號(hào)無(wú)疑是金融數(shù)據(jù)界的終極游戲,有一些有意思的創(chuàng)業(yè)公司也在這方面投入了大量精力,比如為華爾街提供社交數(shù)據(jù)分析的Dataminr,和號(hào)稱要“為金融界帶來(lái)一場(chǎng)智能助手革命”的Kensho。在市場(chǎng)定位上,現(xiàn)在還不清楚這些技術(shù)與彭博終端形成了什么程度的競(jìng)爭(zhēng),或者是否具備與之競(jìng)爭(zhēng)的潛力(彭博終端在社交數(shù)據(jù)方面也非?;钴S)。

????創(chuàng)業(yè)公司的企業(yè)家和風(fēng)投資本家們面臨的一個(gè)大問(wèn)題是,某些根深蒂固的平臺(tái)已經(jīng)占據(jù)了市場(chǎng)利潤(rùn)最豐厚的領(lǐng)域,在這樣的前提下,如何才能把這些業(yè)務(wù)擴(kuò)展為幾十億美元的生意。但總體上我認(rèn)為將有越來(lái)越多的創(chuàng)業(yè)公司進(jìn)入金融數(shù)據(jù)領(lǐng)域?qū)ふ覚C(jī)會(huì),而且某些公司的確有取勝的可能。我很愿意看到金融數(shù)據(jù)界的進(jìn)化會(huì)沿著什么路線發(fā)展。

????本文作者馬特?圖爾克是風(fēng)投公司FirstMark Capital的常務(wù)董事,曾擔(dān)任彭博創(chuàng)投常務(wù)董事。(財(cái)富中文網(wǎng))

????譯者:樸成奎

????2. App stores. The app store model is an interesting way of leveraging the expertise of a "crowd" of specialized third party developers (Bloomberg launched its own a couple of years ago). OpenFin, for example, provides infrastructure to enable the deployment of in-house app stores, addressing the necessary compliance, security and inter-operability requirements (having data flow from one tool to the other). A combination of an in-house app store infrastructure with some best of breed applications (say, a ChartIQ, which provides HTML5 financial charts, including technical analysis tools) is an interesting approach to target the portion of the market "below" the terminal, as companies that cannot afford a full on terminal infrastructure could pick and choose the apps they need and have them work in their environment.

????3. Crowdsourced data. From Estimize (which crowdsources analyst estimates) to Premise (which crowdsources macroeconomic data through an army of people around the world equipped with mobile phones), a whole new way of capturing financial data has emerged. Quandl, a financial data search engine, has aggregated over 8 million financial and economic datasets through both web crawling and crowdsourced, community contributions. Once such a data platform has been built, could third party developers add analytic and visualization tools on top, essentially resulting in a crowdsourced "terminal" of sorts that would be reliable enough, at least for non mission critical, non real time use cases?

????4. Big Data insights: Extracting signal from data is obviously the end game here, and interesting startups are heavily focused on those opportunities, from Dataminr (social data analytics for Wall Street) to Kensho (which is working on "bringing the intelligent assistant revolution to finance"). In terms of market positioning, it is unclear to which extent those technologies compete with the Bloomberg terminal (which, for example, has been very active on the social data front), or potentially complete it.

????The big question facing entrepreneurs and VCs alike is how to scale those businesses and turn them into billion-dollar companies in a context where solidly entrenched platforms have a stronghold on arguably the juiciest part of the market. But overall I believe that we're only going to see more startups going after financial data opportunities, with potential for some serious wins. I'm excited to see how it all evolves.

????Matt Turck is a managing director with venture capital firm FirstMark Capital, and previously was a managing director with Bloomberg Ventures.

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