Published: 12 August 2024
Open and modular analytics architecture makes it easier to build analytics capabilities into applications. Data and analytics leaders should adopt the concept of composable analytics along with generative AI to bridge the gap between insights and actions.
Microservices- or container-based analytics and business intelligence (ABI) and data science and machine learning (DSML) architecture is equipped with improved APIs and emerging headless data and analytics (D&A) capabilities. This gives users the flexibility to assemble the desiredanalytics capabilities across platforms to build richer embedded analytics applications.
The development of low-code applications and analytics-as-code capabilities introduced by ABI platforms give users greater opportunities to design more consumer-focused analytics applications. This enables more collaboration between business analysts and application developers who will have the potential to use a common interface to compose an analytics application enabled by generative AI (GenAI).
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Analysts:
Julian Sun, David Pidsley, Kevin Quinn
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