Flexible Data Management

In a time when data plays an integral role in analytics, marketing and consumer outreach, among other aspects of business operations, a flexible data management is crucial. It allows businesses to adjust to changes and meet the changing needs of their business by avoiding outdated data infrastructures that can hinder growth.

Data management is the process of collecting, integrating and storing data in a manner that is beneficial to the analytical tools of an organization like AI and ML. Data management includes techniques that ensure high-quality, consistent data across platforms and datasets. This includes master data (MDM), the practice of centralizing data domains in order to maintain security, consistency and efficiency.

Traditionally, businesses have used lakes and warehouses to structure their data. However, many have discovered these structures can be limiting and hinder their ability to adapt and change with changing business conditions. This could cause them to fall behind rivals who are better equipped to capitalize on new opportunities or avoid dangerous risks.

By embracing a flexible structure such as that provided by MarkLogic organizations can improve their data management. This type of flexible structure allows them to create a database of data assets, and then query their contents with user-defined views that allow users to access data in a meaningful way. MarkLogic’s flexible architecture for data allows companies to store any type of data without being limited by hierarchical schemas.

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