Use case

Empowering data-driven decisions with API-led connectivity and data integration

Situation/Challenge Outline

With data distributed across multiple systems and applications, it can be challenging to provide diversified data to different business applications and consumers with consistent quality and security. Providing real-time data streams and unstructured data to business applications/partners is also challenging.

To address these challenges, Data as a Service (DaaS) has emerged as a solution to power all these applications. Business stakeholders use a single source for accessing real-time data and analytics in a consistent and decoupled semantic way.

DaaS provides a standard integration layer that allows businesses to access quality, secure, on-demand, and real-time data streams without the constraints of traditional, siloed data stores. The goal is to enable businesses to focus more on data-driven actions and monetise data through different business opportunities and applications. Practitioners face the challenge of defining a robust solution to power all these applications. By enabling access to any data within or outside the organisation, allowing the right access to the right data with security and governance, and providing real-time access to data via APIs, DaaS enables businesses to democratise data, enable ecosystem access, and obtain better insights, and analytics.

Solution outline

Managing and maintaining Big Data can be complex and costly for businesses that traditionally store and manage their data in-house. Data as a Service (DaaS) offers a solution by allowing customers to build a data access layer on top of data sources and warehouses to readily access business-critical data, images, and videos through various provisioning mechanisms in a timely, safe, and cost-effective manner.

DaaS is powered by a data access layer that connects customers to their database and provides data for business applications in a format that suits them. The data interfaces enabled by DaaS allow business and consuming applications to communicate with data sources without knowing how they are implemented.

The data access layer allows applications to receive and share data on demand from any device and any time. The common integration layer aggregates data across a wide range of topics and sources, delivering relevant curated content that provides consuming applications with the right data and insights needed to drive business growth.

To make the most of DaaS, it is essential to consider provisioning data across multiple channels, enabling self-service consumption through real-time and batch interfaces, decoupling consumers from producers, enabling data streaming to power analytics, provisioning of unstructured data, and maintaining a flexible and maintainable architecture. Businesses can leverage DaaS to improve their data management capabilities and support their growth.

Steps to be taken

Data layer
  • Build a data lake to ingest and store high volumes of diversified data. 
  • Create metadata and catalogues to make data easier to locate and use.
Integration layer
  • Design integration interfaces to support extensive, real-time, and unstructured data provisioning. 
  • Leverage fit-for-purpose technology and use GraphQL-supported interfaces for data consolidation.
  • Orchestrate large data volumes using ADF or Python. 
  • Provision real-time interfaces through API gateways like MuleSoft Anypoint platform.
Experience layer
  • Define integration interfaces for consuming applications. 
  • Send unstructured data using messaging platforms like Kafka. 
  • Use SQL interfaces for analytics engines like PowerBI. 
  • Apply consistent security policies across integration interfaces.

Diagram of solution

Benefits of Solution

  • The solution grants businesses the ability to deliver integrated data from a growing list of data sources, fostering a data-driven culture and democratising the use of data in everyday processes.
  • Empower businesses with data-driven decisions by collecting data from different sources, uncovering insights, and delivering those insights to other areas.
  • DaaS enables faster paths to innovation by opening the doors to growth. With data at the centre of a business, change happens quickly.
  • The solution is built to serve an enterprise’s more comprehensive integration needs.
  • A common framework that powers analytics and real-time integration needs.
  • Consistent delivery and provisioning of data as APIs.
  • Enable consumers to query and access specific data.
  • Monetise data and enable additional revenue channels.

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