AWS has extended AWS Transform to automate the migration of dashboards and analytical assets from Tableau and Power BI into Amazon QuickSight by making Wavicle Data Solutions’ EZConvertBI agents available through AWS Marketplace. The announcement positions this as a way for enterprises to accelerate BI modernization without rebuilding dashboards from scratch, and it frames the capability as an addition to AWS Transform’s existing set of agent‑driven modernization flows.
The migration workflow is delivered through a two-step, chat-based process inside an AWS Transform workspace. Customers spin up a workspace, subscribe to the appropriate EZConvertBI agents for Tableau or Power BI, and then run a guided migration flow. Wavicle supplies four specialized agents — an Analyzer and a Converter for each source BI tool-which work together to guide the migration from discovery through conversion using a conversational interface in AWS Transform.
The Analyze step is designed to extract metadata only: the analyzer agent catalogs dashboards, datasets, calculations, and dependencies across workspaces and produces a migration readiness assessment that includes a compatibility report identifying what should convert cleanly and what might need attention. In the Convert step, the converter agent rebuilds assets in Amazon QuickSight, attempting to preserve datasets, calculated fields at both dataset and analysis levels, visualizations and charts, filters, and parameters so that previously encoded analytical logic is carried forward.
Under the hood, the agents leverage Amazon Bedrock for the AI capabilities needed to automate parts of the migration, while Amazon Bedrock AgentCore provides a secure runtime for hosting and managing the agents. The runtime handles credential management through workload identities and AWS Identity and Access Management (IAM)-based access control, and Wavicle’s migration expertise is encoded into the agent logic to inform the conversions performed during the flow.
AWS frames the offering against the operational drawbacks of legacy BI: beyond licensing, older tools require capacity planning, patching, scaling and infrastructure maintenance that can distract teams from analysis. The announcement highlights Amazon QuickSight as a serverless, fully managed target that includes native AI features and the SPICE in-memory engine for faster query performance, as well as embedded analytics APIs to publish dashboards into applications — factors cited as motivations for modernization.
Operationally and from a security perspective, AWS emphasizes that the migration agents run inside customers’ own AWS accounts with no external data transfers, which the announcement says reduces procurement and security friction compared with traditional third‑party access models. The post suggests this can shorten migration timelines from months to days, but it does not include independent benchmarks, customer case studies, or quantitative success rates in the announcement, so organizations will need to pilot the workflow to validate outcomes for their own environments.
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