Data as a Service (DaaS)

Consuming and processing data through multiple end points requires more skills and maintenance. DaaS delivers master data in real time using a configurable API through a cloud-based, serverless architecture for maximum scalability.

The standards-based, cloud-native technology enables multiple systems to consume trusted master data on demand. With DaaS, you can make product master data available in real time for ecommerce or point of sale or enable your first-line support employees to look up the latest customer data.

As an always-on service, DaaS provides applications – such as those serving your end channels and customer-facing touchpoints – with real-time access to the latest data. DaaS continuously synchronizes with the master data management platform, enabling applications to look up data synchronously or receive events on data asynchronously.

DaaS makes trusted master data available to downstream systems, processes, analytics tools or parties who want to use an authoritative set of data at any time, from anywhere.

In a traditional set-up, high-volume data requests place strain on internal systems, slowing response times and introducing latency. This can cause issues with scalability. With DaaS, data consumption can scale to thousands of parallel requests.

By making data available through an API service layer, high-volume requests place less strain on internal systems and data can be served with minimal latency, resulting in improved performance.

Traditional APIs and data services control what data you get access to, which leads to inefficient data processing. DaaS enables multiple services to be configured for the same master data, each with its own API, API keys and associated master data subset. Each API can be configured for maximum ease of consumption. This eliminates the need to build and maintain multiple API services.

With DaaS, the API data model is separate from the MDM data model. This provides a separation of concerns between complex master data management processes and high-volume data consumption, ensuring one activity doesn’t interfere with the other.

Without direct access to source data there is a risk that data being consumed is sub-standard – resulting in unexpected outcomes. As a single, centralized master data service, DaaS delivers trusted, accurate master data to applications at scale, removing the need to create multiple copies of data for each application. The single point of access can drive significant savings in time, money and resources related to data maintenance.