Data And Knowledge Management

Data model The data model is the foundation for developing the database blueprint, not the database itself. Its purpose is as follows. • Ensure that users or stakeholders have a clear understanding of the database system implemented based on the organization's information requirements and that database staff can implement database systems that fully meet the information requirements. Therefore, we need to address the next important question about a series of data. - Method of creating data, - Maintaining consistency, - Method of processing data when necessary.

Data and knowledge management becomes increasingly important by sorting this constant flow of data every day, understanding correctly and using it. However, although most companies focus on data and knowledge management, they are not aware that management itself is inadequate. Sharing is necessary. Four reasons why knowledge sharing is essential for product development success: I have seen it over and over. Regardless of size, many companies focus on keeping deadlines in order to meet the needs of customers, they forget to nurture the knowledge that is the foundation of their existence. In many cases, significant knowledge exists among a small number of senior employees, resulting in a large loss of knowledge, which can be catastrophic for the company. Fortunately, there are several easy-to-implement solutions to prevent this worst case scenario. For example,

Knowledge management is one of the most important topics in today's industry and information investigation. In our daily life, we handle large amounts of data and information. Data and information are not knowledge until you know how to derive value from it. That is why we need knowledge management. Unfortunately, there is no universal definition of knowledge management just as there is no agreement on the components of knowledge. "Knowledge management is a field that promotes identification, acquisition, evaluation, acquisition, and sharing of all aspects of an enterprise's information assets, including assets such as databases, documents, policies, procedures, and previously undeveloped specialties Knowledge and experience are included. "(Duhon, 1998)