In a time when data plays a crucial role in analytics, marketing and consumer outreach, among other aspects of business operations, a flexible data management is essential. It allows businesses to adjust to changes and meet evolving needs of their businesses, avoiding outdated data infrastructures that can hinder growth.
Data management is the process of collecting and storing data in a manner that makes it useful to an organization’s analytical tools, such as AI and ML. Data management employs techniques to guarantee high-quality, consistent boardroomreview.blog/virtual-data-room-prices-for-organizing-future-costs/ data across all platforms and datasets. This includes master data (MDM), the practice of centralizing data domains in order to maintain consistency, security and efficiency.
Traditionally, businesses have used warehouses and lakes to organize their data. However, many have discovered these structures aren’t ideal and can limit their ability to make changes and evolve in the face of changing business circumstances. This can lead them to fall behind competitors who are better positioned to capitalize on new opportunities or avoid dangerous risks.
By embracing a flexible framework such as that provided by MarkLogic companies, they can improve their data management. This flexible architecture allows users to build a catalog of their data assets, and query the data in those assets using user-defined views. Users can then access their data in a way that is easy to understand. MarkLogic’s flexible data architecture allows enterprises to store any kind of data without being restricted by hierarchical schemas.