Data as a Service
Make enterprise data readily available
As organizations continue to mature their data management operations, processes and technology stack, the use cases for data will continue to broaden. Capabilities must be in place to support not only analytics and data science consumption patterns, but as the volume, trust and reliability of the data increases, the need will arise to start replacing the operational data stores permeating across the enterprise.
Companies that shift their data management capabilities to support both use cases will see huge advantages in their ability to derive value out of their data, for literally any use case. This is what we call establishing “Data as a Service” (DaaS).
DaaS brings together the technologies necessary to retrieve data from heterogeneous sources such as transactional databases, data warehouses, enterprise resource planning (ERP) systems, and customer relationship management (CRM) solutions.
By implementing DaaS, companies can realize:
However, for DaaS to deliver on its promise, many challenges need to be overcome, such as:
Much of the complexity within implementing DaaS involves linking front-end channels to the data. This involves a thoughtful architecture that presents the data seamlessly through presentation layers, including APIs and microservices.
Next Pathway has extensive experience in establishing DaaS platforms for large enterprises, regardless of their maturity level. This includes everything from establishing a well-governed Data Lake, to developing a presentation layer for efficient and flexible enterprise consumption.