Published: 24 July 2023
The growing adoption of multicloud and data mesh makes analytics architectures more likely to be distributed. This diversity is challenging for data and analytics technical professionals to govern and manage. Federated, analytics-product-focused architectures can enable agility and control.
The diversity of analytics use cases has resulted in complex consumption patterns across the organization. Increasingly distributed analytics architecture — whether by design, acquisition or business unit autonomy — challenges businesses to deliver consistent, reusable metrics.
Organizations increasingly need to employ multiple A&BI tools to satisfy the needs of diverse user groups. Therefore, a robust D&A architecture is needed to support multiple A&BI tools.
Distributed analytics programs require a balance of control and agility. As use cases grow, the need for governance and guidance on capability execution intensifies to mitigate the adverse effects of duplicated effort, increased costs and development
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