Flexible data management is vital in this age, when data is an essential component of analytics, marketing, consumer outreach, and other aspects that affect the business processes. It allows companies to adapt to changing circumstances and meet the evolving needs of their businesses, avoiding an outdated data infrastructure that can hinder growth.
Data management is the process of collecting and storing data in a manner that is beneficial to an organization’s analytical tools like AI and ML. Data management also covers techniques that ensure consistent, high-quality data across datasets and platforms. This includes master data (MDM) which is the process of centralizing data domains to ensure security, consistency and efficiency.
Traditionally, businesses have used lakes and warehouses to structure their data. However, many have discovered that these structures can be limiting and hinder their ability to make changes and evolve with changing business conditions. This can cause them lag behind their peers who are better able to capitalize on new opportunities or minimize risks.
By embracing a flexible architecture such as the one provided by MarkLogic, organizations can improve their data management. This kind of flexible structure allows them to create an inventory of data assets and to query their contents using user-defined views, enabling users to access data in a meaningful way. In contrast to traditional data warehouses that utilize hierarchical schemas for organizing data the flexible data architecture of MarkLogic offers unlimited flexibility to store any type of data, allowing companies to organize their data to meet their own needs without limiting its use.
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