Shulou(Shulou.com)06/03 Report--

Author: iron called Beast

First, how to understand the data center

Before we solve the question of whether you need a data center, let's figure out what it is.

Is it a tool? Is it the way? Or the organizational structure? My answer is: not only.

The data center includes platform, tools, data, organization, process, specification and so on, which are related to how the enterprise data assets are used.

Enterprises belong to different industries, different business strategies, so the data scenarios are also very different. Coupled with the uneven ability of enterprise personnel to use data, the data center of each enterprise is unique, which can not be solved by purchasing a so-called data center tool. Of course, the right tools can reduce the difficulty of enterprise application data, which emphasizes "appropriate" rather than "advanced".

Since the data of each enterprise is different, are there any successful cases in the market that can be used for reference?

Yes, Alibaba is the enterprise that has successfully implemented the data center project, and is also the first enterprise to put forward the concept of data center. It is necessary to have a brief understanding of this history:

Cdn.xitu.io/2019/7/17/16bfe930b45093ae?w=941&h=476&f=jpeg&s=64990 ">

Second, the premise of the emergence of the data center.

Looking back on this experience, you will find that its emergence is based on the following premises:

1. Rich data dimensions

TCIF & IDMAPPING, Taobao Consumer Information Factory and user Identification, have opened up all relevant business domains of Alibaba Group and established thousands of tags to depict user portraits. For example: your real gender, shopping gender, music style preference is "RenewB", your online shopping behavior is characterized by "love wool or deep pockets", and so on.

2. Multiple big data scenes

Data services support the scenarios of Alimama, Taobao, Tmall, Alipay and other business sectors, with hundreds of millions of calls every day. Through business effect feedback, and then constantly optimize and adjust the data and model.

Based on the above two points, here are a few simple examples:

[enterprise A]

Mainly through the APP operation of professional content to collect advertising fees, to provide free WIFI services to attract customers, with the increase of DAU, it is necessary to provide users with personalized content.

Big data scene: at present, it is more appropriate to start an algorithm project of content recommendation class, but in the case of the foreseeable future, we do not see more data scenarios.

[enterprise B]

Fruit is sold mainly through offline stores and online Internet. At present, the number of stores has exceeded 1000. Need to use big data to refine the operation of users and goods, big data platform has been built to build several positions.

Big data scene: visual report (already), commodity guess you like, personalized marketing information push, commodity inventory optimization and so on. It is more appropriate to start a data center project.

You may have questions here:

(1) what is the difference between the data center and the traditional data warehouse?

For details, see as follows:

(2) if the data warehouse has been built, will the projects of the data center conflict?

The "use" of the data of the Zhongtai project in multiple scenarios can be "upgraded" again based on the number of warehouses (index system), so there is no conflict.

[enterprise C]

It makes money mainly by selling clothes offline and operates two brands: MINI 1 and MINI 2. The CRM of the two brands are provided by different suppliers, in order to better provide services for members, it is necessary to get through the user data in the two CRM.

Big data scenario: none, which belongs to the category of business console. It mainly builds a unified user center to provide data for CRM.

[enterprise D]

Multi-format group company. It has a retail section of books, finance and insurance business, as well as a number of large Shoppingmall. Each business segment has its own positions and reports, and now it is necessary to build a unified data management platform or data asset management platform for the group.

Big data scene: this is a typical data platform type project.

Through the above content, I believe that everyone has a preliminary understanding of whether their enterprises need to build a data center. Of course, in the actual judgment, we need to be more careful not to be confused by some concepts used by manufacturers.

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.