Database: an Effective Action in the Marketing and Sales Unit

First, create a database

It is unlikely that today’s organizations can claim to have no data. But most of them do not know the value of their data and information and do not use it properly. One of the main weaknesses is the lack of a coherent and integrated database. The data is mostly stored in an irregular, scattered and unstructured way. It also takes a long time to find them if needed. There is no system for quickly retrieving information, and in some cases, organizations pay to retrieve the information they have. Many marketing managers do not know exactly what information they have in their organization. Also, a lot of routine data, such as sales information, is inappropriately present in organizations and is rarely analyzed. This situation can be seen in most companies in the country. In such circumstances, data cannot be expected to be a valuable source in the organization.

Setting up integrated databases in the organization can be a good solution. However, setting up such databases requires adopting an appropriate strategy in the field of data architecture. Setting up a proper database requires the following steps:

Step 1: First, the available data is briefly reviewed and classified. Variables may even need to be redefined

Step 2: The type of reports and outputs required by the organization are determined (mainly based on the needs of managers)

Step 3: The final variables and the type of data required are determined according to the desired outputs

Step 4: Data structure , architecture and data integration

Step 5: Determine the methods and channels for entering data into the database

Step 6: Determine the method of data storage and maintenance

Step 7: Identify the people who have access to the database and it is possible for them to receive reports

It is also possible to complete databases based on business intelligence and provide regular and periodic reporting. In this case, usually 3 more steps are added to it:

Step 8: Apply business intelligence models to identify and provide the required parameters

Step 9: Determine the type of data visualization

Step 10: Provide a reporting dashboard

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