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如何解决房产交易痛点 链家从大数据这里找到突破口

2017-08-14 16:12:08   中国青年网

中新网8月14日电 在北京,90后在租房方面更舍得花钱、三十多岁是男性买房的高峰期、女性全款买房的比例更高。这些与房子有关的一个个结论,是针对房产大数据分析的结果。在大数据时代,信息的挖掘与应用已经成为多个行业的竞争的焦点。

链家技术副总裁惠新宸

在房产领域,链家在十年前就开始着手房产大数据的建立。链家集团董事长左晖曾表示,“数据的价值非常大,但形成有价值的数据会比较难。一旦在消费者数据上形成这一能力或获得领先优势,是很高的门槛。我们更希望借助数据的力量,加速房屋的流通,稳定房地产市场。推动行业更加规范透明,引导用户理性消费。”

解决痛点

长久以来,中国的二手房市场存在不少“痛点”:信息不对称、虚假房源、部分从业人员良莠不齐,这些问题导致了业主买房需要承担较大风险。近年来,由于大数据的建立、互联网+时代的到来,二手房市场的这些 “痛点”,正在逐步得到解决。

链家算法大赛现场

链家技术副总裁惠新宸讲述,在我刚毕业的时候,很多中介还是靠信息不对称来赚钱。随着大数据的发展,这种情况已经无法持续,链家一直坚持“真房源”的原则,也就是房屋真实存在、真实在售、真实价格、真实图片,链家一直在努力消除这种信息的不对称。

在房地产经纪行业,如何提高客户成交效率,是最为重要的环节,而大数据的应用可以让这项任务变得轻松一些。惠新宸表示,链家的大数据主要分为“人、房、客”三条线,数据处理的过程就是在这三个连接点上做工作,让信息做到无差别分享,提高他们的连接效率,促进购房决策,减少交易过程中的不确定性。

除了促进成交外,大数据工作还可以帮助经纪人提升业务素质。经纪人应该是一个专业的服务者,不仅仅是一个简单的撮合,更多的时候是要给双方提出一个专业的咨询,这就需要努力提升经纪人的从业能力。我们可以通过大数据,去收集经纪人的行为,发现他们的弱点,通过培训提升他的服务能力。

上述“痛点”的解决,均是在链家的大数据的基础上进行的。链家从2008年就已开始建立“楼盘字典”,目前已囊括全国36个城市7500万套房屋的标准信息,拥有1200TB数据量,每套房屋由300个字段描述,还用200个维度定义用户,155个维度定义经纪人,在此基础上形成的包括带看、交易在内的行为数据,每天超过30G。

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