One of the standout announcements at Data + AI Summit (DAIS) 2026 was AI/BI Migration (Beta). By introducing the ability to import Power BI and Tableau workbooks into Databricks AI/BI, Databricks is simplifying one of the biggest challenges organizations face when modernizing their analytics platforms.
This announcement reflects an important shift in the industry. Organizations want to embrace AI-powered Business Intelligence without losing the years of investment they’ve already made in their existing BI assets.
For many enterprises, Power BI dashboards represent much more than reports. They capture business knowledge built over time through DAX calculations, KPIs, semantic relationships, visualization logic, and reporting standards that business users depend on every day. Recreating all of this manually is often the most time-consuming and expensive part of any migration initiative.
At Hoonartek, we see AI/BI Migration as an exciting step toward accelerating BI modernization. We are committed to maximizing these platform capabilities by bringing implementation expertise, metadata-driven automation, and proven migration methodologies that reduce effort while preserving business context.
Why BI Migrations Are Challenging
Migrating from one BI platform to another is rarely as simple as moving dashboards.
A typical migration often involves:
- Rebuilding reports manually
- Rewriting DAX measures and calculations
- Recreating visualizations
- Validating business logic with stakeholders
- Testing every KPI before production
Even with powerful platform capabilities, organizations still need to ensure that dashboards remain consistent, trusted, and aligned with existing business definitions.
The real objective of modernization is not simply to migrate reports. It is to preserve business knowledge while enabling new AI-powered experiences.
The Metadata-Driven Approach to Data Migration
Successfully accelerating a Power BI to Databricks AI/BI migration boils down to following a structured, metadata-driven approach – one that assesses, transforms, validates, and modernizes existing Power BI assets before a single dashboard is rebuilt.
1. Understand Existing Power BI Assets
The first step is understanding what already exists. This means analyzing Power BI metadata to capture:
- Dashboard layouts
- Visual configurations
- Dataset relationships
- Measures and KPIs
- DAX expressions
- Filters and slicers
- Report metadata
This provides a comprehensive view of both the presentation layer and the underlying business logic.
2. Transform Business Logic
Once you extract metadata, you will see that business rules and calculations are translated into a reusable representation that aligns with the Databricks AI/BI ecosystem.
This helps preserve existing KPI definitions and reporting logic while reducing the amount of manual redevelopment required during migration.
3. Accelerate Dashboard Migration
Using the extracted metadata, migration activities can be significantly accelerated.
Rather than rebuilding dashboards from scratch, you can carry forward the existing report structure, calculations, and visualization hierarchy into Databricks AI/BI, allowing teams to focus their efforts on validation and optimization instead of recreation.
4. Enable AI-Powered Analytics
Once dashboards are available within Databricks AI/BI, organizations can take advantage of capabilities across the Data Intelligence Platform, including:
- AI/BI Dashboards
- Natural language analytics with Genie
- AI-generated insights
- Governed semantic metrics
- Consistent business definitions across reports and AI applications
Instead of simply replacing one BI tool with another, organizations can begin delivering richer and more intelligent analytics experiences.
5. Build on the Databricks Data Intelligence Platform
Migration is only one part of the modernization journey. Organizations can extend their analytics architecture by leveraging Databricks capabilities such as:
- Lakeflow Declarative Pipelines for data ingestion and orchestration
- Delta Lake for reliable, open storage
- Unity Catalog for centralized governance and security
- AI/BI Dashboards for modern analytics
- Genie for conversational BI experiences
Together, these capabilities create a unified platform where data engineering, governance, business intelligence, and AI work together seamlessly.
Realizing True Business Value
At Hoonartek, we bring decades of migration expertise, combined with Databricks AI/BI capabilities. We have seen our customers realize the following benefits when they partner with us:
- Preserve years of investment in Power BI assets
- Reduce migration timelines
- Minimize manual redevelopment
- Maintain trusted business logic
- Accelerate adoption of Databricks AI/BI
- Enable AI-powered analytics with confidence
Most importantly, business users continue working with familiar reports while gaining access to new AI capabilities that improve how they explore and interact with data.
Looking Ahead
The introduction of AI/BI Migration (Beta) at DAIS 2026 reinforces Databricks’ vision of making BI modernization simpler, faster, and more accessible.
As organizations continue their AI transformation journeys, successful modernization will depend not only on platform capabilities but also on preserving business context, maintaining trusted metrics, and ensuring a smooth transition for end users.
At Hoonartek, we’re excited to support that vision by helping customers accelerate their migration to Databricks AI/BI through implementation expertise, metadata-driven automation, and proven delivery methodologies. By combining the innovation of the Databricks Data Intelligence Platform with our migration experience, organizations can modernize faster while minimizing risk and maximizing the value of their existing BI investments.
Final Thoughts
Every organization’s BI journey is different. Some are just beginning to explore AI-powered analytics, while others are planning large-scale migrations from existing BI platforms.
The exciting part is that modernization no longer has to mean starting over. With capabilities like Databricks AI/BI Migration (Beta) and the right implementation approach, organizations can preserve the value of their existing Power BI investments while confidently moving toward an AI-driven future.
How is your organization approaching BI modernization? We’d love to hear your perspective and discuss how Databricks AI/BI can help accelerate your analytics transformation.
