What is business?
Business is a visible felt, down to earth child thing.
Business is what we can understand and feel the world is running logic, process and current situation of the industry, is the result of appearance, are to be seen and felt, is the inherent nature, are capable of being insight and perception.
Business is what happened, when, who was involved, how it happened, how the results.
Business is when, who, where, what to buy, how much was spent, with nothing to pay.
Business is how the development of this industry up, how the status quo, how future trends, with what technology, how any business, the business model, how profitable, the key problem facing consumers what features, and so on.
To understand why the business?
Speaking of this, developers must have some disdain, "is familiar with the business demand for product managers and business to do, nothing to do with us."
Make an inappropriate analogy. There are 10 people through an office building, a sudden fall from the upstairs a few bricks, hit nine people, among them seven development, three master's degree, a Ph.D. but not smashed to that person, just because understanding this often happens before and detour to walk.
If you only write code, you are not irreplaceable, but optional. Because this year, will JAVA, C, Python programmers, on the street a dime a dozen. Now it has begun to advocate, ruled by the programming. After 10 began to fight for a job with you, are you afraid?
But the words are not so extreme, unless your technology is very fast hardware, or in a domestic industry capable of rafts. But technical Niubi people, nor is it just superior technology, often being able to use their technology to solve business problems in certain areas, what had been done outstanding contributions. We come out to mix, but also bring the results to speak of, we did what the project, what is the value. This value is often for business and say.
IT R & D and business demand side often because of a business function to achieve argued ear was red, red face. R & D think this feature is very low, no technical content, business party thought that this feature is very helpful, it takes effort to do careful and meticulous deep well. The reality is that the function made out, it is difficult to use, or often impossible, or the data is wrong. Function on R & D wanted to do something big, but the business side think Void, and no use.
Identification of a function is not a good function, the only criterion is to see whether it can support business, improve business, promote business, that application effect. A product, as long as 30% of the feature that allows business users to use them cool, feel great help, it is already a good product.
We all agree that technology-driven business. But we do not understand, because of strong demand for certain services, was to promote the development and landing technology.
Say this, I mean, as a technician, we should not only looking at the stars, but also down to earth, it is necessary to chase off the technology, but also pay attention to landing operations.
If a business people really understand technology, it will likely be a disaster technicians. Because then, the business staff will be very strong, or so it is nothing of the technical staff.
Of course, it is not difficult to imagine a real test to see who understand the data, like a person who really knows the business with the same algorithm rare.
The relationship between business and data
Real (rather than fiction, simulation, forgery), quantified, data can be recorded will reflect certain aspects of the business situation in the real world. The reality many business scenarios can be reflected by the data.
Retail business scene is the most numerous and most live close to our industry can find many examples easy to understand.
When you are in a unbearably hot summers 10:00, walked near the family's convenience store, the use of micro-channel pay, spent 3.5 yuan to buy a bottle of sugar-free cola cans 330ml modern, membership card and save the brush 100 points, and returned to the cashier MM POS you a receipt, then all this happened you have the cash register is recorded in the database through the family. To make matters worse, the camera shop also have your every move is recorded in the store down, transformed into a frame of image data.
That is, the data of the business.
Analysis of the data found by the manager, recently sold 3.5 yuan modern 330ml cans of cola a 20% increase the previous month, while 75% of consumers in the 20-35 year old males, by contrast, sales of Coke 300ml plastic bottle has It fell 40%. Weighed against the manager a bit low profit 300ml plastic bottles of Coke, Coke 330ml modern tank currently more popular among young people, taking into account the growing rental pressure, made a bold decision - shelf 300ml plastic bottles of Coke, an increase of 330ml commodity modern cans of cola. (And took the data speak.)
That is, the operational data. Alternatively, data-driven service.
When I came into contact with a business, I usually spend 2-3 weeks to understand this industry's business, then the industry generally clear what kind of data, analyze what areas can be done to solve the problem.
When confronted with the results of the analysis is not well understood, I often use the business association method, put yourself to experience the results reflect what kind of business scenarios.
How to understand the business?
这个说大了，就是如何看这个世界。每个人有每个人的方法论，每个人有每个人的世界观，每个人有每个人的逻辑思维。
我们都知道，观念的转变是最难的，也有很多不确定性。有些人可能因为自己的切身体会一天就改变了之前几十年根深蒂固的看法，有些人任由三姑六婆苦口婆心地劝说就是不肯改变自己的择偶观，却有可能因为自己年岁渐大不断降低自己的标准。
但最好也及早要形成科学的思考方法，帮助正确地理解这个世界。
以“面-线-点”的方式可以较为全面、系统、深入地了解一个行业，然后是某个垂直领域，最后再到具体业务场景。
佛系文化的流行，使得年轻一代降低对这个世界的关注度，一切都无所谓，一切都漠不关心。
这个世界从来没有变好过，但我们每个人都是这个世界的匆匆过客，都是行走在自己的人生路上不断领略这个世界的美与丑。这世间的风景，这世间的悲欢离合，如果我们积极地探索与领悟，也不枉来这世间走一遭。
保持好奇心，可以驱动我们的思考，强化我们的认知，丰富我们的内在。
这是我想说的第二个方面。
怀有好奇心，就会渐渐地敏锐观察这个世界，多问自己一些为什么。
我家附近原来有个沃尔玛超市，现在地产商将它装修一番，引入了不少餐厅，刚开张不久，我就去那里吃饭，吃的是烤鸭，一个多两个月后，再去那里吃饭，发现有一半的餐厅已经关门了。
在去地铁站的那条路上，每天人流如梭，一点点，即使到了深夜，依然有很多人在门口排队买奶茶。然而，仅仅隔了一个店铺的喜茶，做不下去，关门了。两三个月前又换成粉店，路转粉。每天下班路过时，发现店里顾客不到10个，门可罗雀。
为什么每家一点点奶茶店门口，不管是什么时候都是很多人，他们是托儿还是真的顾客？
观察到这些，常常会陷入思考，为什么会发生这些，新零售到底改变了什么？
再举个例子。
去年拿保温杯泡着枸杞的中年男火了。
关于这个，我又问了自己几个问题：拿着保温杯泡着枸杞的是不是都是中年男？如果是，这个特征能否被数据量化？可否考虑加入到算法模型当中，加以应用起来？
虽然很多问题，我没有找到答案，但多问自己问题，会引发自己不断深入思考，不断激发自己好奇心，不断去研究。
很多业务知识都是零散的，不可能在短时间内完全了解，可以在日常不断积累。
关于日常积累业务知识，可以经常询问懂业务的人。这是我想说的第三个方面。
刚进公司的时候，我以为业务很简单。很快，我就发现里面的坑不少。加上所在团队的成员也是刚入职不久的，问问题没处可问。过了一个月之后，我发现隔壁团队有两个十年左右的老员工，业务很熟，而且人特好。于是，我几乎一遇到业务问题，就跑过去“骚扰”他们，他们也很乐意解答，如果他们不清楚，他们也会告诉我应该去找谁了解。
跟懂业务的人搞好关系，遇到业务问题，多咨询他们，这是最有效最接地气的办法。
多看书，这是我想说的第四个方面。
比如说，从事新零售领域方面的工作，总得先了解新零售是怎么回事。你可以去听专家们忽悠，但这样的机会很少，而且时间也有限，说不定成本还很高。
读书则不一样。读书，意味着主动了解，主动去构建自己的知识体系。
读书的重要性，这里不多言了。
如果您读这篇文章的时候，您恰好也是一位数据人。我还想告诫一句：我们不能脱离业务去看数据，而是要时刻从业务角度去理解数据。
我们不敢期望可以完全理解这个世界，但也憧憬着我们不单可以在代码的世界里畅快驰骋，论剑江湖，也可以放下身段洞察芸芸众生之百态，领悟人间世俗之真情。
如果真的可以的话，就没有需求分析师什么事了。
如果你现在在和产品经理撕逼，每天苦恼他给你找事情，挖坑埋地雷，就需要多了解一些技能，尤其是产品的业务场景，你就会理解业务的苦衷了，我最近参与的一个开源项目，和业务一起讨论产品模型和功能需求，换位思考，能深深体会产品的思考方式和初衷，我们老大也说我最近不那么执拗了，很感谢开源项目团队对我的帮助和提升，只有不断学习和拥抱变化，跟上补发，调整自己，才能在互联网的江湖随意奔走，不被淘汰出局。
欢迎大家参与开源项目开发，将自己的想法和智慧服务更多人，创造更多未知的价值！[http://github.crmeb.net/u/crmeb]