bigdata, an IT industry term, refers to a collection of data that cannot be captured, managed and processed by conventional software tools within a certain period of time. It is a massive, high-growth and diversified information asset that needs a new processing mode to have stronger decision-making, insight and process optimization capabilities.

data aggregation is used to quickly aggregate multidimensional data for internal and external data. It can be accessed through real-time interface, automatic file import and active query. And can intelligently clean and store data of various formats.

when gathering, it is necessary to accurately extract all kinds of source data: for example, some intelligent terminal acquisition devices are used to extract and put into storage, and then the massive data are quickly cleaned, divided into structured data, unstructured data and semi-structured data, and then labeled, given different labels by graph database, and then distributed to people and things that are specifically analyzed, so as to visually display the data results in the form of various visual analysis charts.

in general, big data analysis is to unify and coordinate a large amount of mixed data into an organic whole by various means, and then visually present it to users with different visual analysis tools, so that they can easily find some key factors in the data. To ensure relevant personnel to improve work efficiency and analyze data core indicators, and bring profit value points to enterprises.

As we all know, opening a shop is very important to the location selection, and it is the first step of the whole work. There is a boss whose business is not good in this place, but his business is strangely good when he changes to another place and the management of the original team remains unchanged. Another boss thinks that he has made money and opened a big store in another place, but nothing has changed, but he has lost all his money. Why? Actually, it's the location.

I'll untie the elements of hot pot restaurant location for you, and I'm sure you'll gain a lot.

Hot pot restaurants are generally located in residential areas with high population density, because ordinary consumers have the habit of using nearby facilities and spending money nearby. But at the same time, if the population here increases rapidly, the relative competition will be more intense. In addition, the choice of storefront is not necessarily the first floor, as long as the business district has convenient transportation, crowds gathering, obvious signs and a higher floor.

The pedestrian flow in these locations near the streets or office buildings with relatively large pedestrian flow is also relatively stable, and they are in and out of the middle and high-end consumer groups. Shops located in middle and high-end hot pot restaurants can choose these geographical locations.

The consumption characteristics of community residents with a large population are that there are more household consumption and individual consumption, and the price requirements for goods are good and cheap. Therefore, if you choose a hot pot restaurant here as the store site, you must have rich products, stable product quality and preferential prices in order to cultivate old customers and stabilize customers.

In areas where business and commerce are concentrated, there is a large flow of people, and the consumption level of people is high. Therefore, the locations of hot pot restaurants are all in the bustling center of the city, the main roads and transportation hubs where people must pass.

The consumer groups are mainly young and middle-aged customers. In the process of site selection, the positioning of consumer groups is particularly important. According to the characteristics of customer orientation, the basic principles of opening a store are determined. The main consumer groups of hot pot restaurants are mainly young and middle-aged customers, mostly students and office workers.

the overall evaluation of the business circle should first quantitatively evaluate the business competition saturation, average residence time, 3km/5km passenger flow, traffic convenience index, education level index, office building data, medical distribution data, business circle population density index, and the concentration of mainstream consumer brand stores through a professional business circle evaluation model.

Overall evaluation index of business circle:

Competition format:

Quantity and distribution of transportation facilities:

From the above figure, we can see that the transportation facilities in this area are abundant and the transportation is convenient.

Distribution of formats:

From the above figure, we can see that the shopping formats and catering formats in this area are relatively rich.

Distribution of well-known brands:

Target consumers, with a wide coverage. Then the location is suitable for street shops, office buildings, large shopping centers, business circles or commercial streets where residents are concentrated.

Population distribution data:

Portrait data:

As shown in the above figure:

The permanent population is about 2.4 million, and the population density is very high. The resident population is about 1 million, and the foreign population accounts for a large part.

College degree or above accounts for 59.63% of the total, and the acceptance of new things and self-learning ability of highly educated people have good attributes.

most people are in the income range of 8k to 19K, and there is a causal relationship between income and consumption. Only when there is income will there be consumption. The consumption of high-income people tends to be refined and personalized, and they have no worries about food, clothing, housing and transportation.

75% of private car trips in the business district are relatively high, indicating that there are more vehicles here, and local people are more willing to pay for enjoyment and convenience.

Most people have a "high" consumption level, and only when they are willing to spend will they have business.

conclusion: finally, we can add up the above data.

you can also continue to analyze the information based on the portraits of permanent customers, residential houses and housing prices, surrounding catering formats, surrounding medical related formats, surrounding education and training related formats, surrounding pets related formats, surrounding scenic spots related formats, surrounding transportation related formats, surrounding company distribution formats, surrounding business accommodation formats, surrounding life service formats, surrounding sports and leisure formats, surrounding government agencies formats, surrounding public facilities formats, and some consumer categories provide per capita consumption and ratings.