New developments and service improvements
Posted: Wed Jan 29, 2025 5:29 am
For example, there are cases where you want to collect and analyze not only data from an EC site, but also the same customer's purchase history at a brick-and-mortar store, points information awarded when purchasing a product, support history, and other data. Recently, it has become possible to link sales data from POS (point of sale) systems with a DWH in real time. A DWH can integrate and store various types of data related to these customers.
In addition to the data given as examples here, there turkey telegram database are likely various other types of data that are useful for building and maintaining relationships with customers depending on the company. What can be done by storing customer-related data in a DWH? Storing customer-related data obtained from various systems and business operations (most of which is customer behavior data generated before and after a purchase) in a data warehouse (DWH), organizing it, and making it easy to reference will enable more detailed customer analysis.
If you can comprehensively analyze and list all of this customer-related data, you can quickly and appropriately approach customers through email marketing or sales activities, for example. You can predict what kind of products or product information the customer is currently looking for and make appropriate suggestions, discover and accurately classify repeat customers, loyal customers, and lapsed customers, and use the results of these analyses to nurture customers. Another important point is that all data, including past history, can be utilized.
In addition to the data given as examples here, there turkey telegram database are likely various other types of data that are useful for building and maintaining relationships with customers depending on the company. What can be done by storing customer-related data in a DWH? Storing customer-related data obtained from various systems and business operations (most of which is customer behavior data generated before and after a purchase) in a data warehouse (DWH), organizing it, and making it easy to reference will enable more detailed customer analysis.
If you can comprehensively analyze and list all of this customer-related data, you can quickly and appropriately approach customers through email marketing or sales activities, for example. You can predict what kind of products or product information the customer is currently looking for and make appropriate suggestions, discover and accurately classify repeat customers, loyal customers, and lapsed customers, and use the results of these analyses to nurture customers. Another important point is that all data, including past history, can be utilized.