Recently, I received inquiries from readers and friends. They encountered confusion in the process of establishing the data team of the development department: with the support of the big boss, the department obtained the establishment of a full-time data team to support the development department for the first time. However, the new department has almost no work results, and the salary High and scary, almost facing dissolution.
I think that if there is no correct understanding, this should be a mainstream problem in the future. These traditional industries earn hard money. If the big boss can support the money, it should be used well. This article shares some suggestions:
Definition of Data Sector
The purpose of establishing a data team is to solve problems. This is the ultimate goal. In the process of solving business problems, the most problems encountered by friends may be IT problems. Therefore, whether large companies or small companies, first invest a lot in this area. Funds, but then comes the technicians who are unmanageable, have no work, and have nothing but quarrels resolved.
The data department is fundamentally a business department
The main reason for the above problems is that the business department cannot clearly communicate the requirements to the IT technicians: the digitization of the business cannot be completed, and the best IT is also difficult to cook without rice, just like in the real business field, we have A shop in a good location, looking for someone to come over for decoration, but there are no design drawings, and the decoration workers do not know how to do the work.
Therefore, a product manager-like intelligence is needed, and the role of this function is the same as that of a commercial decoration designer.
Technical jobs are an important part of the data sector
It's like the engineering department is an important part of the company's store opening. If the store can't be decorated, everything is zero. Without IT technology, nothing can be done. An IT technical position requires at least the following functions:
Back-office positions: similar to building buildings in commercial real estate.
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Data processing: The function is to consolidate messy data into clean and usable tables.
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Database administrator: DBA This position is to manage the company database, which is more similar to the position of architectural design in large-scale commercial projects.
Front-end positions: similar to soft outfits.
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The front end is all-encompassing, but emphasizes two aspects of interaction and visualization.
BI related positions: similar to investment management.
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BI positions can also include many, such as BI data engineer, BI operation and maintenance engineer, BI data project development and so on.
The above are the most basic positions. If the company has other needs, it needs to assign people. For example, if there is a GIS requirement, it needs to assign another person. If there is a mobile terminal requirement, it needs to recruit ios and android development engineers.
把上面这些配齐了还不够，还需要为这个部门配置至少一个领导。至此，部门貌似配置完毕了，但上面的配置基本上只是一个幻想，因为目前IT人员的薪资远比传统行业高，一个团队基本月薪在10万以上，一年至少150万的投资，200万也是正常的。
这种投资对于大公司来说没问题，对于中小品牌来说完全是无法负担的，同时对于IT人员来说，他们在传统行业也学习不到什么技能，而且传统公司也不会给超过行业平均水平的薪酬，也留不住有水平有情怀的技术，加上产品、业务与技术之前沟通一定需要协调，最终效果肯定不佳。
从上面的分析内容来看，完全自建团队基本上只适合大公司，但中型公司和小型公司也需要相关但产品该怎么办？
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砍后台：把数据库简化成一张excel
对于中小公司来说，完全没有那么大的数据量，稍微大一些的数量也产生在交易系统，开发工作只要每家门店的月度最多是每天的销售，一张excel表格完全可以搞定。
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简化前端：前端是没办法完全砍掉的，但前端可以很复杂也可以很简单，使用最简单的前端工具就好，当然这其中还是涉及到一些专业技能，可以用较低的价格外包。
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业务数据化：这一步是最核心也最有价值的，需要公司自己的人来做，百胜餐饮有一个岗位叫做网络规划，大体上可以认为就是从事相关工作的。
整体来说，技术虽然非常重要，但公司毕竟是需要业务落地的，自建技术团队成本高管理难，把有限的预算花在刀刃上，复杂的技术轻量化。业务数据化这块是必不可少的，巨像生产物料一样，总要有人把控。数据平台的后台和前端，至少需要一个数据库和数据仓库，因为还要考虑到后续发展壮大之后，数据量变多便复杂的性能，后台和前端可以用finereport报表类很好的解决，后期的报表开发和维护可以交给一个人去解决。评定这块技术工作之后，关注业务是最好的选择。
下面是总结的三张图片，希望能够解决类似的问题：
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业务数据化背后是复杂的过程，麻雀虽小五脏俱全，应用和各种技术一个都不能少，有任何一点儿没有做到就会影响整体效果，木桶效应！
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但仅仅技术是搞不定的，根本上是一项业务工作
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把有限的资金投资在解决方案上而非硬件和软件等IT投资上：
本文首发CSDN：http://blog.csdn.net/hualalalalali/article/details/75349772