Two days ago, a friend asked me to go to a dinner party. I asked what to eat. He said I would eat hot pot. Haha, when I saw this person, I understood the user experience, so I ran over it, from the 1.5th ring to the 3.5th ring, in about 1 hour, and ran about 10 kilometers. I went to the destination in advance and waited for them to come over. I looked around and found that there are many restaurants in this place. I also found that there was a hot pot restaurant that was doing very good business. There was a long line. OMG business is good, don't want it. business email list When my friends came, I went to another hot pot restaurant to eat together. As soon as I got to the table, I ordered my three-piece hot pot set, Tremella soup, eight-treasure porridge, and egg fried rice.
After a while, I was full, and then I started to eat. A little bit of clear soup hot pot, almost 80% full, so I stopped the fight early, watched them drinking and chatting, and looked at the time. It took almost two hours for this meal (note that this data is useful later). After eating, I passed by the hot pot restaurant that had a good business just now, and found that there were still several tables of customers waiting in line for the meal. I thought that the business email list was so good, I would like this boss, and at the same time fell into deep contemplation, How should the boss optimize and improve the operation efficiency of the entire store (note that I have already entered the play at this time, role-playing boss, Kenichi Omae said that you should think from a position two levels higher than yourself, your vision It will be broad, isn't this the boss's thinking!).
So I thought again, how to apply my own data analysis to this, to analyze problems, explain problems, and solve problems. You may say that a few restaurant owners understand data analysis (you can also ask me to help him analyze, Please ignore this advertisement automatically!), here I mainly use data thinking to analyze problems, dismantle problems, etc., try to reduce the process of data analysis, and use more data to look at the problem. The above content is not too important, the following officially begins! The following data is purely fictitious and is only for the convenience of intuitive understanding. First, the pre-dinner: waiting in line for the meal Nowadays, many hot pot restaurants with good business have to take a number when they line up to eat.