Large Data Landing Application Capriccio (i): Customized products and services

When I took a bath yesterday afternoon, I suddenly remembered a big data case, which was about an E-commerce company in San Francisco, True&co, who used data analysis techniques to find the right bra for their customers. The previous 36 major figures for this case have been reported before. Based on the application of this case in real life, I would like to put forward my own point of view, the human body itself is a "live" large data, and large data in the future can be extended to all aspects of our future life, let us live more intelligent and convenient.

Previously, I have put forward a point of view, "Behind everyone is a set of vivid data", yes, everyone corresponds to a myriad of data, which have health data, including height, weight, measurements, blood type, constellation and body indicators data, etc., there are consumer data, such as browsing the web, Play iphone games, micro blogs, micro-letters and other data, as well as personal information such as name, occupation, education, experience, telephone, email, etc. There are also data that are not captured or recorded, such as Dreams, ideals, instant thoughts, beliefs, and so on. And these data, combined into a complete person, and these data are at any time change, belong to the flow of data. So, can we understand that a person, in itself, is a big data.

Because of this data, we can imagine how large data is applied to life.

Throw me another view, big data another commercial route--customizing products and services.

Because it is in the bath think of things, naturally think of some of the difficulties encountered. As I said before, everyone is a large living data, because everyone's data is different, so in some suitable for their own product selection is also different. For example, the choice of shampoo.

It is very difficult to choose a shampoo that suits you, because the body factor is different. For example, in winter, hair dry edgy phenomenon is very common, and summer because of sweating, scalp oil secretion too much, you need to choose refreshing type, dandruff shampoo. And we buy shampoo, in exchange for it is always a few, but the brand is different, so my home also hoarding a large number of used shampoo.

Wouldn't it be better if I had a company that could guess exactly what I wanted, or if I could tailor a different shampoo to my own hair at different times? On the one hand, I can save the right to choose the time, on the one hand can help me to save money to buy the wrong goods? Large data analysis is needed here. Large data analysis includes not only my body's various data, but also the weather, different geographical data, as well as my preferences, living habits and so on. This large data model is best able to accurately predict different periods of time I have different preferences, the choice of shampoo taste, and whether I want to repair hair, smooth hair and other additional functions, according to the results of large data analysis, so as to modulate I want, and suitable for my shampoo, And the smell of shampoo and our recent use of perfume does not conflict with the taste?

And then come back to the situation where women's underwear is customized. It is really difficult to pick underwear, color, cloth has always been the underwear manufacturers work hard place, but in fact, even try to wear underwear, not necessarily for yourself. The reason is simple, underwear with different clothes and skirts to wear, and color and shoulder strap choice is also important. And then there's the comfort level.
With large data to customize women's underwear, then the big data behind, in addition to size, color, measurements data, is not should I want to access the occasion, to match the clothes, different seasons, life habits and so into account? If the female body is more sweaty type, then is not in the underwear of the choice of cloth to choose more sweat cloth? If I still like wearing suspenders, do I have to consider using a narrow shoulder strap? And the age is different, the demand for underwear is not the same. These factors, the current underwear manufacturers do not take into account.

Students want to go to the scenic spots and office people want to go to different places, the elderly want to go to the sights and middle-aged want to go to different places, backpackers and donkeys want to go to the scenic spots is not the same, to learn art and the construction of a more diverse. How can we be satisfied? Use large data to customize travel.

Not only is the age, the identity and the life habit, each person's emotion and the experience also are different. For example, our uncles and aunts have all seen the movie "Roman Holiday", they go to Rome is bound to go to the wishing pool, but I am not the same, I have not seen the film, but I like opera, to Rome I would like to go to the Rome Opera House to listen to an opera. Tour groups often choose the sights as long as they are famous, or pick a few places that everyone goes to, instead of choosing according to everyone's interests. At this time, customized tourism products become very important. People often don't know what they want and where they want to go ... You might as well use big data to predict.

Speaking of hotels, I don't remember seeing such a bridge in any of the movies, a foreign company boss to another city on business, in a five-star hotel stay, just finished check-in back to the room, the waiter sent a bottle of expensive wine, and this wine does not say hotel commonly used, very difficult to buy, It's a hotel that's flown in from another city for guests.

After the waiter sent the wine, the big boss was very moved. Because he has the habit of coming home from work every day to drink a little wine, and the brand and specification of wine is the kind he drinks every day, he feels that he has returned home again, very intimate.

In fact, this is also a customized service example, the hotel by understanding the guests ' preferences, habits, age, occupation, physical condition, income and other large data, so as to specifically customize the service for himself.

Using large data to make customized services and products can be used in every aspect of life. In the future, we go to shopping malls, may not have to wear high heels to be tired to death, since entering the mall, my iphone will receive the mall for my personal customized service program. I like the brand new clothes arrived, according to my income, I also bought, just to try to take the goods on the line. I have 3 hours of time, in addition to buying clothes, this customization service will be based on my time to arrange my trip today. Based on my recent big data (such as weight loss plans, favorite movie types, etc.), recommend me go to a vegetarian restaurant, go to a sci-fi movie, and so on, make my 3-hour arrangement of colorful and methodical, is not very happy?

End：

Everyone is talking big data, but do not know how to play the big data? Customized products and services are a good choice, and millions may wish to try. In fact, the volume of large data is very large, but the real landing point is small data and grounding gas, making life more convenient and intelligent. If you have large data, but do not know how to use, you may wish to go out for a walk, you will find in the customization of services in a lot of landing points.

Imagine, you a Sichuan sister, if you can eat in the hotel of the Champs Elysees in France to the hotel prepared for you in advance of Sichuan hotpot, how do you feel?

PS. The "Large Data Application Capriccio" series will record my own occasional thoughts and opinions, not to mention the concept of a variety of tall things, in order to speak from their own lives. Hope to enlighten you.

Source: http://www.36dsj.com/archives/13235