A data mesh, on the other hand, is a decentralised approach to data architecture and organisational design that addresses the complexities and scalability issues of large-scale data management and data silos within departments. By empowering domain-specific teams with the autonomy to manage their own data as a product, data mesh creates a more agile, responsive, and efficient data ecosystem. This approach enhances collaboration and innovation and aligns closely with the evolving nature of modern businesses, where agility and adaptability are key to staying competitive.
From a CX perspective, organisations are striving to harness the full potential of their data assets. Effective strategies require dismantling data silos and empowering CX experts to directly analyse and leverage data, bypassing the need for data teams to first process it into dashboards from structured and unstructured sources in a data lake.
Within this new environment, the role of CX analytics platforms has become increasingly invaluable in improving data quality and fostering contextual awareness of business and customer experiences.