I remember that Mr. Liu Run shared in an article several corporate brand cases that saw the growth of operational data during the epidemic. The teacher was "disappointed" after executive list learning about the real cause of the outbreak, because there was no "coup" at all. It is not through the gradual accumulation of the previous few years that a sufficient executive list number of online users have been obtained. Therefore, during the epidemic period, because of the inability to go online, there has been an increase during the epidemic period. 4. Data-Data Link Among the problems of many customers we solve, a common problem is the problem of data silos.
Data assets are one of the dimensions of the core competitiveness of enterprises. The completeness, accuracy and application of data is a reflection executive list of the strength of an enterprise. So now many companies are facing the following problems: 1) No data collected - lack of source The dimensions of data records are incomplete, the behavior data of users executive list is unclear, and the basic labels are not recorded; it is impossible to summarize and sort out the data of various business systems in a unified manner. 2) Scattered data - data cannot be aggregated uniformly.
Due to the particularity of the business, different software or third-party tools may be used, resulting in a lot of data that may be duplicated and executive list inconsistent; that is, what we often call "dirty data"; therefore, it is necessary to aggregate and organize data through a unified and cleaning, obtain clean and tidy data and store it in a unified data center, which executive list is convenient for each business layer to use. 3) Data fault - data value is powerless Data gaps are one of the most common problems faced by enterprises; for example, customers from Xiaohongshu placed orders in the micro-mall system and were sent by SF Express. Want to notify customers how to achieve?