企业营销自动化企业Radius完成Peter Thiel领投的5000万美元D轮融资
由 Facebook 的第一个实习生 Darian Shirazi 创建的企业营销自动化企业 Radius获得由Peter Thiel 的 Founders Fund 领投的 D 轮 5000 万美元的融资。 截止到这次融资，Radius 已经获得了总共 1.25 亿美元的投资。但他们没有公开透露目前公司的估值，Radius 的一位发言人表示，该公司价值 5 亿美元。
Radius 围绕大数据分析技术为客户展开 B2B 营销自动化服务。Radius 的“智慧云（Intelligence Cloud）” 可以对客户的众多渠道（社交媒体、合作伙伴数据、销售系统数据、政府公开数据等）的数据进行分析。再利用不同的模型为客户制定营销策略。据称Radius跟踪的企业数达到了 3000 万，可实时收集500亿个数据点，通过公开数据和专有数据的结合为企业生成其最终客户会不会最终购买产品的“信心指数”。
Radius 计划将本轮融资继续用于其“智慧云（Intelligence Cloud）”的开发。而长远的目标就是上市，投资机构也用实际行动表明了对它的信心。Radius 去年 10 月刚刚完成了 C 轮 5470 万美元的融资。上一轮的老朋友 AME Cloud Ventures，BlueRun Ventures Formation 8，Glynn Capital Management，Salesforce Ventures，Yuan Capital 等多家机构都参加了 Radius 本轮的融资。
B2B 的营销工具 Radius 活得不错，B2C 的企业营销自动化工具也开始风生水起，前沃尔玛、高朋高管出来做的 B2C 的企业营销自动化工具 BlueShift 也开始受到关注。
过去的企业营销自动化工具主要围绕 B2B 业务展开。做 B2C 的难点在于，B2C 的商品种类比 B2B 领域多得多，B2C 要做营销自动化，要求服务商提供更多个性化的服务。
BlueShift 和 Radius 一样围绕大数据为客户提供营销服务，他们目前定位在电商客户群。动态分割和动态内容相结合，使得用户的身份数据和操作内容可以更加准确的匹配，以满足商家个性化营销的需求。他们通过利用用户的实时操作数据来建立用户档案，而传统的做法是根据历史操作数据建档。
BlueShift 目前获得了 Nexus Venture Partners 领投的 260 万美元的种子轮融资。
Marketing intelligence firm Radius raises another $50 million
Radius, the marketing intelligence software startup founded by Facebook vet Darian Shirazi, has raised another $50 million led by Peter Thiel's Founders Fund.
With the latest investment round, the six-year-old San Francisco-based company will have raised $125 million to date, following a $54.7 Series C round that closed last September.
Radius is not disclosing its exact valuation, but a company spokesperson says it's north of $500 million. The company has doubled its valuation with every round raised.
Radius investors include Formation 8, Glynn Capital Management, Jerry Yang's AME Cloud Ventures, Salesforce Ventures, BlueRun Ventures and Yuan Capital. That's in addition to former Morgan Stanley chairman John Mack and actor/entrepreneur Jared Leto, who participated in Radius's previous investment rounds.
Radius pegs itself as data science company for B2B marketers. Its platform revolves around a predictive marketing software suite and its proprietary data science engine, the Radius Intelligence Cloud, which tracks more than 50 billion data points on 30 million businesses.
The platform connects to a company's CRM platform, and then uses public, government and other partner sources of data to analyze and refine a client's marketing strategy, helping them generate lead lists of their ideal prospects, increase sales or scale to a national campaign. Beyond prospect data, Radius also provides social media activity from the likes of Facebook, Yelp, Twitter, Google and Foursquare, all in one centrally configured place.
Radius clients include office supply chain Staples and POS maker Revel Systems. Its most prominent competitors include Infer, Lattice Engines and Six Sense Media.
Radius plans to use the new capital for continued development of its Intelligence Cloud. As for the company's long-term roadmap, a home on Wall Street is certainly in the cards.
In an interview last September, Sharazi said he ultimately sees Radius as a publicly traded company.
"We want to build a public company," Sharazi said. "You need freedom to build something incredible. We built this practice around data science and the appreciation for data science, and in order to do this right and solve the problems of such a large market, we felt like we had to stay independent."
来源：ZDNet
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金融垂直招聘平台“职业梦”完成 A 轮近千万美金融资
金融领域垂直招聘平台“职业梦”宣布完成 A 轮近千万美金融资，长安私人资本领投，乐视、贝塔斯曼亚洲投资基金（BAI）、Infinity Ventures Partners（IVP） 和 3 名金融机构高管跟投。创始人朱超透露，本轮融资将主要用于 B 端市场的拓展和新产品的研发。同时“职业梦”宣布已经启动A+轮融资，领投方为金融资讯平台“华尔街见闻”。
“职业梦”早期是一个金融领域的教育平台，今年开始转型金融领域的垂直招聘平台，定位包括应届生、实习生在内的 5 年工作经验以下金融从业者。据“职业梦”提供的数据，目前“职业梦” C 端注册用户 20 万，5年以上工作经验人才也占到了 10 % 的比例。
同时，“职业梦”也针对中小金融企业客户提供基于 SaaS 的外部人才解决方案，提供简历管理系统、视频简历系统等工具。朱超认为，在金融领域，人才不如互联网市场强势。对于垂直于金融领域的求职网站来说，“服务好 B 端，网站上有职位，用户就自己过来了。”
“职业梦”目前有 100 多名员工，“40 多个技术都在给 B 端做服务，还有一个 20 人的 B 端推广团队。” 目标是在年底把平台上的公司做到 5000 家，目前平台上有 1400 家企业。“职业梦”后续将继续人才数据分析管理、标准化人才培训等业务。同时，他们希望能够接入企业内部系统，完成外部系统服务到内部SaaS系统搭建的转变。
针对个人求职者，他们正通过把招聘的数据库和培训的数据库连接起来，提供针对性的职位、培训课程推荐服务。“如果系统之前看到一个人职业路径是 A - B - C ，那当它分析到一封 A - B 的简历，就会推荐 C 给这个人，同时告诉这个人你哪几个方面要补。” 在联合创始人黄海眼中，“求职 - 培训 - 求职”的闭环是“职业梦”一定要搭的，之后“职业梦”更多的会作为一个流量入口，把其他金融领域的培训服务拉到平台上来。
下一步“职业梦”还会涉足金融职场社交，“肯定不是人跟人之间随便勾搭那种纯社交，主要会以信息为导向，例如你要找在中信工作的人，或是咨询中金的信息，就可以在‘职业梦’上完成。” 在朱超看来，金融领域从业者本身就是一群社交需求极强的人，金融职场社交是一件自然要做的事。
职场社交市场目前已经相当热闹，“赤兔”、“脉脉”、“机遇”各显神通，这些 LinkedIn 的中国门徒一直要思考的是“如何持续让职场人士在平台上找到价值？”，这或许也是“职业梦”做社交要思考的问题。
来源：36氪，作者：饭遥
【印度】TracxnLabs为雇佣平台ZenRadius注入启动资金
导语：总部设在印度班加罗尔的网络招聘平台ZenRadius帮助企业，特别是初创企业，通过职业社交网络网罗到合适的应聘者。
由Flipkart联合创始人及Anzy Careers的Deepak Singh 所共同支持的创业孵化器TraxcnLabs近日为招聘平台ZenRadius注入了一笔数额不详的启动资金。
这家由Nitesh Mishra，Arpit Kumar 及Alok Yadav所创办的班加罗尔网络招聘平台帮助企业，特别是初创企业，通过职业社交网络网罗到合适的应聘者。
世界间的联系已经变得越来越千丝万缕，在不久的将来，利用这些丰富的人际网络来网罗适宜的应聘者正在成为招聘的重要方式。
·ZenRadius如何工作？
用户可通过电子邮箱地址登录ZenRadius平台，然后输入职位或求职的关键词。该平台会自动从用户自己的联系人列表中进行匹配并推送相关信息。
为了与被推荐者取得联系，用户需要编写一封标准邮件来对职位要求进行详细描述，仅需单击一下，该平台就能向所有潜在应聘者发送个性化邮件。
此后，平台的数据分析系统将会显示有哪些人已经阅读了该邮件，并对这些推荐候选人对于职位的兴趣度进行评估。
当一家企业或是招聘公司使用该平台进行招聘时，尽管应聘者能够与诸多联系人取得联系，但是其简历只会被自动发送至职位发布者（而非推荐人）的手中，这样做是为了表达对职位发布者的尊重，因为他们拥有挑选适宜求职者的职业裁量权。
职位发布者能够看到某位求职者的所有推荐人有哪些，因此，雇主就可以利用这些不同的信息渠道来对求职者的背景进行交叉比对，以确保求职人信息的真实性。
“以前，亲朋好友或是工作伙伴经常问我们能否为他们公司的空缺职位推荐合适的应聘者，这给了我们灵感。通过某个人的人际圈所完成的雇佣过程，虽然非常有效，但是也很麻烦，实际上，没人会为了找到更好的求职者而对自己圈子里已经存在的资源进行广泛利用，”Mishra说。
“作为职业人的我们，通常会对自己圈子中其他专业人士的才能非常熟悉，并且能够很好的为某个具体职位推荐合适人选，这是一个基本事实，”他补充道。
在打造ZenRadius平台之前，该公司的核心团队所创办的第一家初创企业名为Smokelift Technologies，主要为Olacabs、Practo、Acceltrade及StudyPad等公司提供包括大数据基础设施服务在内的可扩展分析服务。
Tracxn的创始人Abhishek Goyal表示，“多年来，我们见证了通过共同朋友所完成的雇佣具有更高的成功率，特别是当我们有职位空缺的时候（而不是求职），但是通过人脉寻找求职者的过程非常累人。我们认为科技可以大大简化这一过程。”
目前，TracxnLabs已经完成了对两家初创企业所进行的投资，分别是美容服务移动市场StayGlad和按需物流企业Parcelled。
Hiring platform ZenRadius raises seed funding from TracxnLabs
Hiring platform ZenRadius has received an undisclosed amount of seed funding fromTraxcnLabs, an incubator backed by Flipkart Co-founders and Deepak Singh of Anzy Careers.
Founded by Nitesh Mishra, Arpit Kumar and Alok Yadav, this Bangalore-based network hiring platform enables firms, especially startups, to hire the right candidates through professional networking.
The world is getting more socially and professional connected and making use of these already enriched networks to obtain the right candidates is going to become the key method of hiring in the near future.
How does the platform work?
A user can log in to the ZenRadius platform with an email address and enter keywords of the professional vacancy or requirement. The platform automatically pulls out appropriate references from the user’s own contact list and suggests new ones.
To contact the referred professionals, the user types a standard mail detailing about the job requirement. The platform then sends personalised emails to all the potential candidates in a click.
Further, the platform analytics shows data on who has opened the emails and provides a way to assess the interest of referred candidates in the available jobs.
If a company/recruitment firm uses the platform, despite employees referring job vacancies to multiple contacts, CVs are automatically routed to only the Job Creator (and not the referrers) honouring the fact that only the Job Creator must have the professional discretion to choose the right candidate.
The Job Creator is able to see all the people who might have referred the same candidate. Hence, backgrounds could be crosschecked from multiple sources to ensure the authenticity of candidates.
“We were often asked by both our personal and professional contacts if we could recommend potential candidates for job opportunities in their companies? This got us thinking. The entire process of hiring through one’s network, though very effective, is very cumbersome and no one is actually using the data which is already present within their networks to get better candidates,” said Mishra.
“It is a basic fact that as professionals we are usually familiar with the skill sets and talents of other professionals within our circles and are in a better position to suggest the names of ‘likeminded’ professionals who would be most suited to specific job positions,” he added.
Prior to developing the ZenRadius platform, the core team founded its first startup Smokelift Technologies and developed scalable analytics involving Big Data infrastructure services for Olacabs, Practo, Acceltrade and StudyPad.
Abhishek Goyal, Founder of Tracxn said, “Over the years, we have seen that people we hired through common friends had much higher degree of success more specifically when we asked for people (and not inbound), but the process of finding people through network was very tiring. We thought technology could simplify this process significantly.”
TracxnLabs has already invested in two startups StayGlad, a mobile marketplace for beauty services, and Parcelled, an on-demand logistics startup.
via e27
大数据服务平台Cazena获2000万美元B轮融资Cazena，一家帮助企业处理数据的新平台，今天宣布已获2000万美元B轮融资，融资由Formation 8领投。其他的投资方包括Andreessen Horowitz和North Bridge Venture Partners，他们也参与了去年十月Cazena800万美元的A轮融资。
Cazena由部分Netezza的前任员工创办，Prat Moghe是公司的领头人。2010年Netezza被IBM收购时，他担任数据监察部门总经理，收购后，任职高级副总裁，负责产品、战略和市场营销。
在IBM干了一段时间后，Moghe觉得是时候用新的视角来解决Netezza曾遭遇的一些问题了。“在看到企业都是如何同全新的大数据堆栈（如Hadoop，一种分布式系统基础架构）挣扎较劲的情况下，我们开始思考下一个十年数据处理的前景，”他说道。“每一个企业，尤其是中大型企业，都在积极寻找着能提高进程灵敏度的云方法，但是现有平台的复杂性和安全问题是很大的障碍。”
Cazena 的目标是极大简化商业中的大数据进程处理。Moghe设想，最终的理想状态是，使用Cazena时只需点三下，就能设置好数据处理工作（当然现阶段还有一些问题需要解决）。
这项服务通过自动搜寻到，处理设定数据组的分析技术方案，从而解决掉处理的复杂性。接下来，它会替客户自动的规定、优化和管理工作流程，无论是Hadoop、Spark、MPP还是SQL9（如Amazon Redshift）类型的结构。
根据你的工作量和其他标准，如价格或是你想要获得结果的速度，Cazena会为你提供适当的基础结构，然后全程关注进度。“最终，数据即服务成为一个新的分类，我们希望能助企业一臂之力，让他们用好云计算。”
Cazena花费了约两年的时间，才公开他们的新产品。但Moghe说，公司尚在和一小部分大型企业合作，进行β测试，现在还没有达到完全开放服务的阶段。
当准备就绪的时候，Cazena会使用相对特别的定价计划。Moghe说，计划是针对服务，包括所有的云计算成本、支持和SLA开销，收取单一费用。他认为，目前针对云处理的收费系统，如gigabyte、note，对企业而言结果都太难预测。
公司的这一轮融资资金，将会用于技术开发、销售推广和合作伙伴建设。
Cazena Raises $20M Series B For Its Enterprise Big Data-As-A-Service Platform
Cazena, a new platform that wants to make it easier for enterprises to process their data, today announced that it has raised a $20 million Series B round led by Formation 8. Other participants include Andreessen Horowitz and North Bridge Venture Partners, who both also participated in the company’s $8 million series A round last October.
Cazena was founded by a number of former Netezza employees and is now led by Prat Moghe, who was Netezza’s general manager for data compliance before its acquisition by IBM in 2010. He then became the senior vice president for strategy, product and marketing at Netezza under IBM’s ownership.
After a few years at IBM, Moghe decided that it was time to look at some of the problems Netezza was trying to solve from a fresh perspective. “We started thinking about the next decade of data processing and how enterprises are struggling with the new big data stacks like Hadoop,” he told us. “Every enterprise — and particular the medium to large enterprises — they were actively looking at the cloud to speed up the agility of processing. But they were being held back by the complexity and security issues [of the existing platforms].”
Cazena aims to greatly simplify big data processing for businesses. Ideally, it should only take three clicks to set up a data processing job with Cazena, Moghe believes (though in reality, it’s still a bit more involved right now). The service strips away the complexities by trying to automatically figure out what technology to use to analyze a given set of data. It then automatically provisions, optimizes and manages that workflow for its customers, no matter whether it’s a Hadoop, Spark or MPP SQL (think Amazon Redshift) job.
Depending on your workload and other criteria like price or how fast you need the results, Cazena will provision the right infrastructure for you and then take care of the processing. “Ultimately, data as a service is a new category and we want to help big enterprises get into the cloud,” Moghe said.
It took the Cazena about two years to get to this point where it’s openly talking about the new product. But while Moghe told me that the company is already running some beta tests with a small number of large companies, Cazena isn’t quite ready to open up its service to all yet.
Once it does launch, though, it will do so with a relatively unusual pricing plan. Moghe tells me that the plan is to charge a single fee for the service that will include all of the cloud costs, support and an SLA. He argues that current cloud processing systems that charge by gigabyte or node are too unpredictable for enterprises.
The new funding the company announced today will go toward building out the company’s technology, sales force and partnerships.
来源：tc
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