Having an inclusive data economy is a must-have for modern organizations. Effective information sharing is vital to reaching customers, opening markets, improving transparency, sparking innovation and improving trust among stakeholders (Newman, 2011). From an implementation perspective this means joining silos of information to meet emerging demands (Thoo, Friedman, & Beyer, 2013). However, developing a data economy positive information architecture to support the organization requires a data layer that is nimble and adaptable. Volume, velocity, and variety of data that is relevant has grown to a point that it has pushed many applications to the limits of their capacity (Yefim, Douglas, Ross, 2012).
New technologies like gRPC and graphQL can help organization overcome some of these hurdles. These services greatly decrease (halved in some cases) data transfer loads and allow custom request contracts to be created, essentially enabling a single service call to return data from multiple sources. These are new principles for application architecture but are required for modern information architectures that constantly have new and varying data types and sources all with their own management needs. Innovations like these are the result of data becoming the nexus of enterprise decisions, bringing the application architecture and information architecture domains closer together, providing even greater justification for a deeper investment in proper enterprise information architecture.
References:
- Newman, D. (2011) Overcoming Silos: Evolving From Stand-Alone Information Architectures to Shared Information Architectures for the Emerging Data Economy. Gartner.
- Thoo, E. Friedman, Ted. & Beyer, M. (2013). Data Integration Enables Information Capabilities for the 21st Century. Gartner.
- Yefim, N. Douglas, L. & Ross, A. (2012) The Nexus Effect: How Big Data Alters Established Architecture Models. Gartner.