I think the above netizen's answer is quite detailed. I've tried IBM's I2 and Zhizhiyun's Critical Eye before, and I think the visualization effect is quite good, and each has its own advantages, but I think it's more convenient to use Critical Eye, because once I imported more than 2 million pieces of data, I2 couldn't get stuck, and the critical eye was smoother, and then the analysis was more convenient.

Here I would like to express my humble opinion on capital analysis:

In fact, I feel that different data have different fund analysis methods:

1. In the past, general capital flow data were directly imported into the trial version for analysis. Through a "list analysis" function, you can find a lot of large deposit accounts, which is very useful. Then, according to the notes behind the adjusted bank transaction flow, we can check the nature of these accounts, including the accounts of investors, borrowers and company employees.

2. For some anti-money laundering data, for the companies or personnel involved, you can find some information such as automobile products, real estate, fund management, etc., mainly according to the following transaction notes.

3. For the data of three parties, such as Shanghai Fubao, Shanghai Fu You, Guangzhou UnionPay and JD.COM Online Banking, in fact, many of them involve the investors and borrowers of the platform. Specifically, it is necessary to judge whether these people are investors or borrowers according to the time and amount of transactions with the platform, and may also involve employees of the company.

4. For the obtained company database data, sometimes the data volume is small, and some contents can be statistically analyzed by excel. However, if the amount of data is large and cannot be opened by excel, Navicat is recommended. Navicat is quite easy to use and the data processing speed is faster. In addition, for the data with a large number of columns in some databases, there may sometimes be errors when importing with Navicat. At this time, we suggest that you import the data into python first. You can delete some useless columns first, and then use Navicat or python to process them.

Besides, I want to talk about software. In fact, sometimes a lot of money is collected. It is very time-consuming and laborious to analyze and view only with excel, but it is easier to analyze if there is software dedicated to analyzing funds. I tried Zhiyun's insight before (downloaded from the intranet at that time) and found the analysis effect good. I think the performance is ok in terms of data volume and visual effect display. I recommend you to try it. The above is my humble opinion, welcome to discuss and exchange.