A Tableau environment is built around more than dashboards. Workbooks contain views, dashboards, stories and data connections. Published data sources can be shared across workbooks, while extracts can be embedded in workbooks or data sources.
That makes the migration problem less about moving pieces of content and more about understanding how everything fits together. What depends on what? Which definitions need to be preserved? Which content is still in use? And which parts of the estate no longer need to make the journey?
Before anything can be migrated, the estate has to be understood. That means looking beyond what users see to workbooks, data sources, extracts, calculations and dependencies underneath the reporting layer.
A Tableau environment can contain workbooks connected to shared data sources, while calculations, sets, groups, bins, parameters and field customizations can form part of data source metadata. Over time, those relationships can become difficult to see from the reporting layer alone.
Some content may be used.
Some may duplicate analysis elsewhere.
Some may depend on data sources or extracts.
And some may no longer matter.
The challenge is therefore not simply to inventory the estate, but to understand it well enough to decide what should move, what should be rebuilt, and what should be left behind.
The objective remains the same: understand the Tableau estate, determine what needs to move, rebuild it on the target platform, and validate the result. What has changed is how the work can be performed.
Specialist teams drive the work, often sequentially, with people responsible for understanding workbooks, data sources, dependencies and business logic across the migration.
Repeatable parts of the migration can be automated, reducing manual effort while people continue to orchestrate the overall process.
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The right destination depends on your existing technology ecosystem, business needs, and vision for analytics. Each platform offers a different path to modernization.
Cloud-native analytics at scale
A modern, serverless BI platform that fits naturally into the AWS ecosystem, with built-in security, scalability, and a cost-efficient path to modern analytics.
Analytics across the Microsoft ecosystem
A powerful, integrated BI platform for organizations invested in Microsoft, with seamless connectivity, familiar tools, and broad business adoption.
A proven platform for visual analytics
A powerful, integrated BI platform for organizations invested in Microsoft, with seamless connectivity, familiar tools, and broad business adoption.
Modernize BI brings together analysis, news and perspectives on Tableau migration, modernization and the approaches shaping the next generation of BI.
