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Flexible data management is vital in this age, when data is an essential component of analytics, marketing, consumer outreach and other elements that impact the business processes. It allows businesses to adapt to changes and meet the demands of their business while avoiding outdated data infrastructures which could hinder growth.
Data management is the method to collect, integrating, and the storage of data so that it can be used by an organization’s analytical tools such as AI and ML. Data management also covers techniques that ensure high-quality, consistent data across all platforms and datasets. This includes master data management (MDM) which is the process of centralizing important data domains to ensure consistency, efficiency and security.
Traditionally, companies have utilized lakes and warehouses to structure their data. However, many have discovered that these structures aren’t ideal and can limit their ability to adapt and change with changing business conditions. This can cause them to fall behind their competitors who are better positioned to seize new opportunities or avoid risky risks.
By embracing a flexible structure, such as the one offered by MarkLogic companies can enhance their data management. This flexible structure allows users to create a catalog of their data assets, and query the content of those assets using user-defined views. Users are able to access data in a way that is easy to understand. MarkLogic’s flexible data architecture allows companies to store any kind of data without being constrained by hierarchical schemas.
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