Flexible data management is vital in today’s world, where data is a crucial component of analytics, marketing, consumer outreach as well as other aspects that affect business operations. It lets companies adapt to the changing environment and meet ever-changing needs of their businesses, avoiding an outdated data infrastructure that could hinder growth.
Data management is the method of collecting, integrating and the storage of data so that it can be used by analytical tools of an organization such as AI and ML. Data management includes techniques that ensure consistent, high-quality data across datasets and platforms. This includes master data (MDM) which is the process of centralizing data domains in order to maintain consistency, security and efficiency.
Traditionally, companies have utilized warehouses and lakes to organize their data. However, many have discovered that these structures aren’t ideal and can limit their ability to make changes and evolve with changing business conditions. This can lead them to fall behind their competitors who are better equipped to capitalize on new opportunities and avoid risks.
By implementing a flexible structure like that offered by MarkLogic companies can improve their data management. This kind of flexible architecture allows them to create an inventory of data assets and then query their contents with user-defined views, which allows users to access data in a meaningful manner. In contrast to traditional data warehouses that utilize hierarchical schemas for organizing data the flexible data structure of MarkLogic allows for unlimited flexibility to store any kind of data, allowing companies to organize their data according to their own requirements without limiting its functionality.