What is Data as a Service (DaaS)?

Data as a Service (DaaS) 

Data as a service, or DaaS, is a term used to describe cloud-based software tools used for working with data,such as managing data in a data warehouse or analyzing data with business intelligence

Data as a Service (DaaS) is one of the most ambiguous offerings in the "as a service" family. Yet, in today's world, data and analytics are the keys to building a competitive advantage. We're clearing up the confusion around DaaS and helping your company understand when and how to tap into this service..

Data as a service (DaaS) is a data management strategy that uses the cloud to deliver data storage, integration, processing, and/or analytics services via a network connection.

What are the benefits of data as a service?

DaaS increases the speed to access the necessary data by exposing the data in a flexible but simple way. Users can quickly take action without the need for a comprehensive understanding of where the data is stored or how it is indexed

Compared to on-premises data storage and management, DaaS provides several key advantages with regard to speed, reliability, and performance. They include:

• Minimal setup time: Organizations can begin storing and processing data almost immediately using a DaaS solution.
• Improved functionality: Cloud infrastructure is less likely to fail, making DaaS workloads less prone to downtime or disruptions.
• Greater flexibility: DaaS is more scalable and flexible than the on-premises alternative, since more resources can be allocated to cloud workloads instantaneously.
• Cost savings: Data management and processing costs are easier to optimize with a DaaS solution. Companies can allocate just the right amount of resources to their data workloads in the cloud and increase or decrease those allocations as needs change.
• Automated maintenance: The tools and services on DaaS platforms are automatically managed and kept up-to-date by the DaaS provider, eliminating the need for end-users to manage the tools themselves.
• Smaller staff requirements: When using a DaaS platform, organizations do not need to maintain in-house staff who specialize in data tool set up and management. These tasks are handled by the DaaS provider.

Data as a Service is one of 3 categories of big data business models based on their value propositions and customers:

• Answers as a Service;
• Information as a Service;
• Data as a Service.