AWS Transform customers can now use BI migration agents to convert Tableau and Power BI dashboards to Amazon Quick Sight (BI capability of Amazon Quick) assets, helping reduce migration effort from months to days. These agents are built by Wavicle Data Solutions, an AWS Advanced Consulting Partner, leveraging the AWS Transform initiative to create differentiated transformation solutions by integrating specialized agents, tools, knowledge bases, and workflow with AWS Transform’s agentic AI capabilities. Four agents are available for purchase through AWS Marketplace: one Analyzer agent and one Converter agent for each BI migration source (Power BI and Tableau).
AWS Transform is a collaborative enterprise IT transformation workbench powered by expert agents, agentic AI systems, and continuous learning that accelerates cloud migration, legacy app modernization, and tech debt reduction. These new BI migration agents are embedded into the AWS Transform workflow and use a chat-based interface to assess your source dashboards for migration readiness, then convert them – rebuilding datasets, calculated fields, visualizations, and filters in Amazon Quick Sight. All processing runs within your AWS account; no data leaves your environment. After conversion, your Amazon Quick administrators assign dashboard ownership to BI authors for validation and publishing. Once migrated, your teams can take advantage of Amazon Quick’s AI-powered workflows, including natural-language business questions, automated research, and data-driven actions.
The BI migration agents are available through AWS Marketplace in US East (N. Virginia). They support Quick Sight asset creation in all commercial regions where Amazon Quick Sight is available. To get started, subscribe through AWS Marketplace (Power BI or Tableau) or contact your AWS account team to explore available programs for free or discounted Amazon Quick migrations. Read more in this blog post.
Categories: marketing:marchitecture/artificial-intelligence,general:products/amazon-quicksight
Source: Amazon Web Services
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