What is Data Modernization?
Data modernization is the process of moving siloed data from legacy databases to modern cloud-based databases or lakes. Data modernization allows organizations to be agile, eliminating inefficiencies, bottlenecks, and unnecessary complexities surrounding legacy systems. Organizations are able to deliver robust data experiences that offer valuable, actionable insights, API-driven application integrations, and respond to the real-time needs of a dynamic business environment.
Critical for any organization that needs to store unstructured data – images, customer voice audio, social, clinical notes, etc.
Offers substantial cost advantages over previously used data management tools
Integrating new data sources to use data at any scale, with a focus on rising data volumes as well as the use of multiple data sources
Democratizing access with data stored in one place for every business function
Bring data together from multiple sources, bridging organizational silos for more collaborative and effective decision-making.
Provides the organization with benefits such as lowered costs, democratized data, reduced latency, increased speed of access, dynamic intelligence and analytics, accelerated time to market, and much more.