Flexible data management is vital in today’s world, where data is a vital component of analytics, marketing consumer outreach and other aspects that impact business operations. It allows businesses to adjust to changing circumstances and meet the evolving needs of their businesses and avoid outdated data infrastructures that can hinder growth.

Data management is the process to collect, integrating, and keeping data in a way that it can be used by the analytical tools used by an organization like AI and ML. Data management also encompasses techniques that ensure high-quality, consistent data across different platforms and datasets. This includes master data management (MDM) which is the practice of centralizing important data domains to ensure the consistency, efficiency and security of data.

Traditionally, companies have organized their data by using warehouses and lakes. But many have found that these structures can be restrictive and limit their ability to make changes and adapt in the face of changing business circumstances. This could cause them to fall behind their competitors who are better equipped to arrangement of another chief seize new opportunities and avoid risks.

By implementing a flexible structure like the one offered by MarkLogic organizations can enhance the management of data. This type of flexible architecture allows them to create an inventory of data assets and query their contents using user-defined views, enabling users to access data in a meaningful manner. MarkLogic’s flexible architecture for data allows companies to store any kind of data without being restricted by hierarchical schemas.