DT from IT era to era, every business and both are "big data", "digital transformation" so strange and familiar vocabulary surrounded. Almost overnight, this side of the road to the future of data already holding a ticket crowded but do not know how the car business owners, especially in some of the traditional industry giants, it is early to squeeze in a team ahead.
They often by virtue of years of accumulated deep plowing and accumulated a massive, difficult to measure the value of data, in sharp reduction of traditional industries incremental market today, how these data to guide enterprises on the stock market has a more refined operation, the become a topic they are most concerned about.
Held in Shenzhen, a real estate industry CIO Spring Summit, the number of Lan Technology Partner and CDO pay is climbing the hill (days Cham) published the "next big data - data in the table" speech, he shared in the real estate field Thinking and practice to help companies build data sets.
(The following day from Cham organize lectures, slightly deletion)
First, what data sets that? Where does it come from?
Let me talk about exactly how to interpret the data in the table.
Data sets, we call infrastructure data applications . To make the data more flexible support to front-end business enterprises through the establishment of data sets, data multiplexing capability settle down, using data from the aggregation mechanism, development, management, and data services to form a complete set of data.
And in Taiwan this concept was originally proposed by Alibaba, and it has been able to sprout in Ali, from a journey of exploration Ma.
By 2015, he paid a visit to Helsinki, Finland one hand travel company --Supercell, this team more than a hundred, the company was able to create a $ 1.5 billion pre-tax profit. After some inquiry they found that the core of the company lies in the efficient functioning of the common infrastructure consists of a team responsible for unified, and the service is personalized grown over this infrastructure.
In this first visit back, Ali started his own strategy in Taiwan, in line with the Internet to build big data era flexible and innovative "medium and large units, small reception" mechanism, that is, as the front desk front-line business will be more agile, more rapid application of ever-changing market, while in Taiwan the collection of operational data and product technical capacity of the whole group, the formation of strong support for each of the front-office. The so-called in Taiwan, which is the Internet infrastructure business, the public resources to build, service of sharing.
Second, the real estate industry Why data sets?
回顾企业数据发展的历程，从 2.0 时代为了解决单个业务问题而形成类似烟囱式野蛮生长，逐步过渡到如今 3.0 时代数据互联互通，由业务产生的数据沉淀下来，并反哺并驱动业务的发展。对于拥有着大量数据的企业而言，急需要在此时把握机会，进入快车道，迅速完成向数据 3.0 时代的过渡。
我们认为，拥有卓越的大数据体系和平台整合能力，是未来优秀的房地产企业应该具备的特质。
地产行业在最近几年，从市场、政策和舆论环境角度来看，都发生了很大的变化。在增量市场不断萎缩的今天，为了探索新的业务，地产商们也开始探索更多的业务形态，也更加重视对存量市场的精细化运营。此时，正是转型的关键时期，房地产企业需要建设属于自己的数据中台，它不一定能够完全解决业务问题，但中台提供的能力可以让问题变得简单，帮助企业将沉淀的数据用起来，驱动业务更加高效运转。
特别是在 2019 年，除了地产行业万科、碧桂园、恒大等头部客户外，很多企业也都开始尝试数据中台，这无疑是一个未来发展趋势。
三、数据中台如何运转才能实现价值？
企业一旦构建起自己的数据中台，便能够让数据源源不断地赋能自有业务，同时拓展新业务方向，为企业增添新的活力。但我们必须明确一点，数据中台并不产生数据，而是将企业自身在业务中产生的全域数据，汇入进数据中台中建立一套标准，形成企业数据资产后再进行服务化、业务化的过程。
我们认为，数据中台整体架构应包含如下内容：
拆分出来看，数据中台的建设，核心需要做以下几件事，即数据交换、数据开发、资产建设、资产管理、资产服务。而在数据资产建设领域，我们具有丰富的地产领域实践经验。
四、地产行业的数据资产该如何建设？
我们着重了解一下地产行业的数据究竟需要通过哪几步才可以变成真正的数据资产：
数据中台数据总体分为四层：
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原始数据层尽可能保留原始全量业务数据，只在汇聚之后进行简单的清洗；
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中间数据层保留统一规范的标准业务数据；
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标签数据层通过 ID-Mapping 把各业务板块各个业务过程统一实体数据打通，保持以对象为中心的全域标签数据；
- 应用数据层按照业务的需要从中间层、标签层抽取数据进行组装，满足业务以及性能需求。最后数据通过应用层以服务的方式开放，整个过程完成了从数据到数据资产的建设。
五、构建数据中台，数澜能做什么？
数据中台不是一个产品，是一个战略和体系，企业以数据驱动业务发展，业务沉淀的数据回归中台强化数据能力，形成不断沉淀并反哺业务的「活」的数据资产，为业务源源不断赋能。而数澜旗下核心产品——数栖平台，作为大数据技术平台，可以帮助企业创建属于企业独一无二的数据中台。
数栖的核心能力主要集中在数据开发平台、数据资产体系及数据资产管理平台中，这三个体系能够让数据真正的被用起来，降低开发的成本。即使一个普通的工程师拿着帮助手册，也能够在短时间内变成一个大数据工程师，成为一名数据挖掘专家，企业无需再耗费大量人力物力去搭建庞大的大数据团队，并将这些内容从头学起。
而在数据应用层，我们能提供许多服务及数据标准管理，方便业务人员和运营人员通过灵活配置相应的数据和服务，生成全新的服务来赋能业务，从而高效响应及支撑业务，通过平台的能力快速解决业务问题。
Since the number of habitat processes all product data in the process of building the station, so the number of platforms to maximize the value of habitat in the process of building the station, from the development of data management, data goes to the assets, and then manage them and the upper docking business applications, running through the whole process, the whole link is complete and correct in series - this is where our ability and value, from companies no longer need to scrape together, you can build your own one-stop data Taiwan .
Future business world, information asymmetry will be significantly reduced, production efficiency, sales efficiency will be greatly improved, even qualitative change. In this sense, the future of eco-business gene China and the world would be a "big data", and for good real estate business, to build data infrastructure will be even more important at that time, if not ahead of the car, the next 3-5 years, "big data" may not be able to help the real estate business better and faster progress.