In a time when data plays a vital role in marketing, analytics and consumer outreach, among other aspects of business operations, a flexible data management is crucial. It lets businesses adapt to changing circumstances and meet the ever-changing needs of their business and avoid outdated data infrastructures that can hinder growth.

Data management is the method to collect, integrating, and storing data so that it can be utilized by analytical tools of an organization like AI and ML. Data management also covers techniques to ensure the consistency of high-quality data across different platforms and datasets. This includes master data management (MDM) which is the process of centralizing important data domains in order to ensure consistency, efficiency and security.

Traditionally, businesses have structured their data with warehouses and lakes. Many companies have discovered these structures to be restricting, which limits their ability to change and adapt to changing business needs. This can lead them to fall behind their peers who are better able to seize new opportunities or avoid danger risks.

By implementing a flexible structure such as that offered by MarkLogic companies can enhance their the management of data. This flexible architecture enables users to create an inventory of their data assets, and query the data in the assets by using user-defined views. Users can then access their data in an intuitive way. As opposed to traditional data warehouses, which use hierarchical schemas to organize data, the flexible data architecture of MarkLogic offers unlimited flexibility to store any kind of data. It allows enterprises to organize their data according to their own requirements, without limiting its capabilities.

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