How to build a big data analysis platform and what are the commonly used big data analysis platforms

The so-called big data platform does not exist independently, for example, it relies on search engines to obtain big data and conduct business, Ali obtains big data and conducts business through e-commerce transactions, and Tencent obtains big data and starts business through social networking, so the big data platform does not exist independently, the focus is on how to collect and precipitate data, how to analyze data and mine the value of data.

I may not be qualified enough for this question, I have not experienced the process of a company's big data platform from scratch to complexity. But let's talk about my opinions, it can be regarded as sorting out my thoughts and looking for sprays.

Hello, you should be a scenic spot or a cultural and tourism department, this problem is not a sentence or two can be clearly explained, briefly talk about the current situation: at present, there is no specification for building nationwide, and there are tens of millions to hundreds of thousands of ways in terms of amount in various places, and the project with a particularly large amount is likely to be infrastructure and decoration and hardware procurement. If it is an institution with perfect infrastructure, it is basically information integration, including ticketing, camera, complaints, passenger flow, parking lot management, broadcast communication (generally on the emergency platform), word-of-mouth, etc.; If the infrastructure is backward, personal advice is not necessary to spend too much money to engage in infrastructure, the purpose of your construction is to apply, just find the corresponding data service company directly, and you don't need to train data talents, it is very convenient to use data services directly, and it is better to pay every year than to invest a lot of money in infrastructure only an empty shell, now domestic technology companies are sinking more and more in the industry, and a large number of case application services basically meet the needs of most customers, and there is no need to copy a set in their own locality.

As far as I know, Tencent Ali has a department of cultural tourism services, and there are also departments that focus on cultural tourism data market services, like moray eels, and they have a bunch of enterprises in the sea generation, all for different industries. As a practitioner of the Cultural Tourism Management Committee, I still recommend buying services directly, there is no data in the center of our own scenic spots, and the leaders are gone, and everyone is in charge there, which is too wasteful.

National data: You can query the time series data of the main indicators in each professional field surveyed and collected by the National Bureau of Statistics.

Ali index: The most authoritative and professional analysis of industry trends.

Business Advisor: Based on the formula of "payment amount = number of visitors * conversion rate * customer unit value", Business Advisor can help you quickly locate the core factors of business fluctuations.

Sogou IndexHeadline Index: Headline Index is a data product launched by the giant engine cloud map.

360 Index: The trend is a big data display platform based on the massive user data of 360 products.

JD Business Intelligence: Abundant operational data, covering the entire e-commerce domain and improving operational efficiency. Multi-dimensional industry competition data, depicting industry trends, gaining insight into consumption characteristics, and assisting operational decision-making.

1. National data:

: You can query the time series data of the main indicators in each professional field surveyed and collected by the National Bureau of Statistics.

2. Ali Index:

: The most authoritative and professional analysis of industry trends.

3. Micro index.

5. **Business Consultant:

: Based on the formula of "payment amount = number of visitors * conversion rate * customer unit value", Business Advisor can help you quickly locate the core factors of business fluctuations.

6. Sogou Index:

7. Headline Index:

: Headline Index is a data product launched by the giant engine cloud map.

Index: The trend is a big data display platform based on the massive user data of 360 products.

1. Data-driven transactionsThrough data products and data mining models, the intelligence of enterprise products and operations is realized, and then the overall efficiency output of the enterprise is greatly improved. The most common application areas include precision marketing services based on personalized recommendation technology, advertising services, risk control and anti-fraud services based on model algorithms, credit services, etc.

2. External data monetizationAfter the data is carefully packaged, the data service is provided to the outside world, and then the cash income is obtained. It is common for big data companies to use their own big data to provide risk control inquiry, verification, anti-fraud services, customer guidance, diversion, precision marketing services, and data open channel services.

3. Data-assisted resolution planProvide basic data calculation report analysis services for enterprises. Analysts can easily obtain data output analysis reports to guide products and operations, product managers can improve product functions and improve user experience through computing data, operations personnel can find operational problems and determine the strategy and direction of operations through data, and management can grasp the company's business operations through data, and then make some strategic decisions and plans.

With the continuous development of various enterprises, the amount of data of enterprises continues to increase. The competitive pressure of enterprises is also increasing, and the use of data analysis platform to increase the competitiveness of enterprises has become the core link of the information construction of various enterprises. Data analysis, I think, means extracting information from data to create value.

Because the value of the data itself cannot be directly seen, but through various data calculations and analysis, information that people cannot notice can be extracted from the data and value can be created. So how to build a data analysis platform? I think it should be from the following aspects:

1.Analysis value: clarify the value of data analysis, through the analysis of big data, can quickly discover consumer demand changes and market development trends, so as to help enterprises make correct decisions in a timely manner, so that enterprises have stronger competitiveness and continuous innovation ability in the market.

2.Data source: There is a platform for data analysis and data acquisition.

Today's IT information system is constantly under construction, and it is necessary to analyze various types of data in the data analysis. These may be log data within the system, or they may be data from other interfaces, etc.

3.Data Processing: Collect a variety of data from data sources that meet the needs of the enterprise, validate, clean, and convert it into the required format, and store it in a suitable persistent storage layer.

4.Data display: Visualize the results processed by different analysis algorithms.

The data is read from the pre-calculated and summarized result data, and displayed in a friendly interface or in the form of **, which is convenient for non-professionals within the enterprise to understand the data analysis results.

The big data platform is a network platform that provides services through content sharing, resource sharing, channel co-construction and data sharing. Data analysis refers to the analysis of large amounts of data collected using appropriate statistical analysis methods.

They are aggregated and digested to maximize the function of the data and give full play to the role of the data. Data analysis is the process of studying and summarizing data in detail in order to extract useful information and form conclusions.

Analytical purposes

The purpose of data analysis is to concentrate and refine the information hidden in a large number of seemingly disorganized data, so as to find out the internal laws of the object under study. In practice, data analytics can help people make judgments so that appropriate action can be taken. Data analysis is the process of collecting data in an organized and purposeful manner, analyzing it, and turning it into information.

This process is supported by the quality management system. Data analysis processes are required throughout the entire product life cycle, from market research to after-sales service and final disposal, to improve effectiveness. For example, before starting a new design, designers need to analyze the data obtained through extensive design surveys to determine the design direction, so data analysis has an extremely important position in industrial design.