In the era of information explosion, in the face of a large amount of fragmented information, it is necessary to learn the ability of information analysis
We are now in an era of information explosion. With the rapid discovery of network communication, we can actively and passively receive all kinds of information.
All kinds of fragmented information are all around us all the time. How to capture useful information from these complex information is particularly important. This requires the use of the information analysis ability that I want to discuss with you today. It allows us to improve our cognition of all kinds of things.
For us as individuals, this ability allows us to understand the rules behind the information, allows us to adjust the direction of our work in time and makes our judgments about things more accurate.
Data analysis is more important for enterprises, and making accurate and effective analysis results can allow enterprises to formulate correct development directions and strategic guidelines, which can reduce mistakes and move forward stably.
Simple data analysis is to analyze the specific information that has appeared, and draw the analysis results according to the historical development. Sometimes we need to analyze a specific solution based on the existing data, which requires us to make a more detailed analysis and compare it with competing products after decomposing it to the smallest unit to draw the conclusions we need.
In the era of information explosion, in the face of a large amount of fragmented information, it is necessary to learn the ability of information analysis
For example, if we want to make an online product, we need to collect various information of competing products from the Internet, such as clicks, attention, discussion data, transaction conversion rate, etc., and the actual transaction volume is also affected by these factors.
When there is a decline in sales, it is necessary to decompose the problem for analysis, which specific factor has caused the problem, and which parameter plays the most important role. Only in this way can we find the cause of the problem and take countermeasures accordingly.
Data analysis and summary capabilities are also very important in our daily work, such as reporting work progress to leaders. At this time, you can provide detailed data support, and show your work progress and achievements based on the data support, so that leaders can more trust in us.
However, when we collect receipt information, we must pay attention to the two key data of data accuracy and causality.
When obtaining data again, we must avoid falling into the trap of causality. Don’t just see the causal relationship on the surface of things, but explore the deeper causality inside things, and try to see the overall development of things as much as possible. For example, customers report that the color of the product is too complicated to cause poor product sales. At this time, we cannot easily conclude that it is because of the color, and we must comprehensively analyze whether it has other influences.
Secondly, we must pay attention to the accuracy of the data. This is very important, which directly affects the following series of processes. What we pursue is high efficiency and accuracy, which requires everyone to make a balance between the two.
In the era of information explosion, in the face of a large amount of fragmented information, it is necessary to learn the ability of information analysis
Finally, let’s summarize that we are in an era of information explosion. Whether we can make good use of information analysis and summarization ability is related to our own development. From now on, we should make good information analysis habits, collect information that is beneficial to ourselves, and avoid garbage. Information wastes your time.
Well, today's sharing is here, thank you for watching!