Looking for a few e commerce data analysis software, do you have any good recommendations?

You go to the ub store to take a look, what I have there is an automatic analysis robot for e-commerce data. It's a very good little software, safe and stable, real-time help me analyze and capture data, and it can also automatically generate reports.

1. Rubik's Cube is a big data model platform, which is a tool platform for data analysis and mining based on the two major technical architectures of service bus and distributed cloud computing, which uses a distributed file system to store data and support the processing of massive data.

2. Baby analysis: find out the most popular babies in the industry according to the baby name keywords, and find out the most popular babies in the industry according to the keywords. Brick Exhibition Analysis: View the specific screen**, date, delivery distribution, and sales during the Brick Exhibition.

3. At present, I am using information communication tools to do e-commerce data analysis. Launched in 2008, it is one of the earliest e-commerce analysis products, providing e-commerce big data services for more than 30,000 stores and brands.

4. Duoduo Master Toolbox is a comprehensive auxiliary tool integrating operation, management and actual combat.

5. Index: http: You can study keyword search trends, gain insight into the interests and needs of netizens, monitor public opinion trends, and locate audience characteristics. JD Business Intelligence: HTTPS: Rich operational data, covering the entire domain of e-commerce, improving operational efficiency.

Core indicators: UV, conversion rate, customer unit value, gross profit margin, promotion ROI, repeat purchase rate.

On the basis of the core indicators, we will gradually make detailed indicators for **, users, commodities, marketing and other objects; At the same time, it monitors the internal operational performance: customer service, goods, warehousing and logistics, etc.

There are two levels of data analysis:

First, data analysis, for products.

Analyze how the product works, and do a closed path analysis. Find out whether the click of the product is smooth and whether the function is perfect.

At the same time, it collects and analyzes the conversion rate, traffic, inventory, cycle, and discount methods of the products with the largest sales ratio.

Clause. 2. Study the focus of the customer's visit and tap the potential needs of the customer.

If it is a transaction-oriented e-commerce**, it is necessary to study how to efficiently facilitate transactions and whether there can be joint orders! Rubik's Cube is a big data model platform, which is a tool platform for data analysis and mining based on the two technical architectures of service bus and distributed cloud computing, which uses a distributed file system to store data and support the processing and limb of massive data. A variety of data acquisition technologies are used to support the collection of structured data and unstructured data.

Through the graphical model building tool, the process model configuration is supported. Third-party plug-in technology makes it easy to integrate other tools and services into the platform. The data analysis and judgment platform is the collection of massive information, the construction of data models, the mining and analysis of data, and finally the formation of knowledge to serve the actual combat and serve the decision-making process.

Slowly buy big data.

Data Acquisition & Processing:

Distributed crawler technology, search engine technology, and natural language processing technology are used to mine and label data in a hierarchical and hierarchical manner, establish a link between data and business, and conduct multi-dimensional analysis of the data model. I focus on industry, brand, sales, SKU data monitoring, and analyze product data through reviews, activities, ** and other dimensions.

Visual macro shed hunger data analysis: simple interface, visual and intuitive data query, analysis, and data analysis functions help enterprises understand the market environment crisis of products, and timely grasp the channel operation, historical sales and historical adjustments of competitors. Help enterprises tap potential market demand and enhance market competitiveness.

Data analysis tools, be sure to use sqlcel.

A tool for resource consolidation.

It is possible to process data from various databases on Excel, and at the same time, various processes can be performed directly on CSV TXT text.

A very easy tool to get started with and worth installing.

The third-party one can be tried with Tao**.

1. List methodIt is the most common method of recording and processing data to express data in a list according to certain rules. **The design requirements are clear, simple and clear, which is conducive to discovering the correlation between related quantities; In addition, it is also required to indicate the name, symbol, order of magnitude and unit of each quantity in the title column: according to or according to the needs of the training, the calculation columns and statistical columns other than the original data can also be listed.

2. Drawing method.

The graphing method can most prominently express the change relationship between various physical quantities. From the graph line, you can easily find some results required for experiments, and you can also represent some complex functional relationships graphically through certain transformations.

There are two main ways to generate charts and graphs: manual tabulation and automatic programmatic tabulation, where tabulation is done through the corresponding software, such as SPSS, Excel, MATLAB, etc. The survey data is entered into the program, and the final results are obtained by operating these software, and the results can be displayed in the form of charts or graphs.

Graphs and charts can directly reflect the results of the survey, which greatly saves the time of the designer, helps the designer to better analyze the products required by the market, and paves the way for further design. At the same time, these forms of analysis are also used in product sales statistics, so that the recent product sales can be given intuitively, and the future market sales can be analyzed in a timely manner.