What’s New in v17.1.30 for Self-Service & Embedded Analytics

TL;DR: Bold BI® v17.1.30 advances the future of AI-native analytics, embedded analytics, and enterprise governance with Model Context Protocol (MCP) and Skills support, multi-model AI capabilities, enhanced developer APIs, stronger governance controls, and expanded connectivity across modern data platforms. This release helps organizations build more intelligent, scalable, and secure analytics experiences for internal teams, customer-facing applications, and emerging agentic analytics workflows.

Introduction

Analytics is rapidly evolving beyond traditional dashboards. AI agents are becoming active participants in analytics workflows, embedded analytics is increasingly a standard capability in SaaS applications, and organizations need stronger governance to manage growing volumes of analytics content and AI-driven experiences.

Bold BI v17.1.30 is designed to support this transformation. This release introduces MCP and Skills support, multi-model AI capabilities, enhanced embedded analytics experiences, expanded administrative and developer APIs, stronger governance controls, and deeper connectivity with modern data platforms.

Whether you’re building self-service analytics for business users, embedding analytics into customer-facing applications, managing multi-tenant analytics environments, or exploring agentic AI experiences, Bold BI v17.1.30 provides new capabilities to help you scale with confidence.

Let’s explore what’s new in Bold BI v17.1.30.

AI-native analytics

The future of analytics is increasingly AI-native, where intelligent agents can understand business context, retrieve information, and interact with analytics resources through secure and governed workflows.

Bold BI v17.1.30 introduces foundational capabilities that help organizations prepare for this next generation of analytics experiences.

Enable context-aware analytics with MCP and Skills

Bold BI now supports Model Context Protocol (MCP) and Skills, enabling compatible AI agents to securely connect with Bold BI and perform supported actions on dashboards, data sources, and other Bold BI resources. This enables intelligent, context-aware analytics workflows and easier integration with external AI agents.

This allows AI agents to access analytics context, retrieve information, and interact with business data while respecting existing governance and security controls.

Why it matters: MCP and Skills support helps organizations prepare for emerging agentic analytics scenarios by enabling compatible AI agents to securely discover, access, and interact with analytics resources through standardized protocols.

Choose the right AI model with multi-model support

Bold BI now supports multiple AI models and providers, allowing organizations to configure the AI services that best align with their requirements.

Users can select the model or provider best suited for specific use cases, helping organizations to select preferred AI models based on their requirements while reducing dependency on a single AI provider.

Why it matters: Multi-model support gives organizations greater flexibility when adopting AI-powered analytics and helps prevent dependency on a single provider.

Embedded and developer-first analytics

Embedded analytics is rapidly becoming a standard requirement for SaaS applications, customer portals, partner ecosystems, and AI-powered business applications. As organizations integrate analytics directly into applications, developers need stronger APIs, flexible embedding capabilities, and governance controls that can operate at scale.

Let’s explore the latest embedded and developer-focused enhancements.

Open View Underlying Data directly from SDK-based applications

For embedded analytics applications, developers can now launch the View Underlying Data dialog through custom SDK actions, making it easier for users to investigate detailed records behind dashboard visualizations without leaving the application.

Why it matters: Developers can deliver richer embedded analytics experiences while enabling end users to access deeper insights within their existing workflows.

Automate administration with expanded platform APIs

Across identity management and site administration workflows, Bold BI v17.1.30 expands API coverage with support for managing Known-Domain.json configurations and retrieving or updating UMS site settings programmatically.

Administrators can now retrieve and update Known-Domain, UMS branding, copyright, and site settings through dedicated APIs, helping streamline governance, administration, and deployment automation workflows.

Why it matters: Expanded API support enables developer-first analytics experiences while reducing manual administration and configuration effort.

Enterprise governance and security

As analytics becomes more accessible, embedded, and AI-driven, governance becomes increasingly important. Organizations need consistent permission models, stronger administration controls, and secure access management to scale analytics responsibly.

Let’s explore how Bold BI v17.1.30 strengthens enterprise governance.

Deliver consistent access control with dashboard view permission

Within the server authorization framework, the dashboard-view permission model has been streamlined through a unified access structure which inherits permissions from the parent dashboard. Organizations can now consistently manage Read, Read Write, and Read Write Delete access levels across All Views, Views in Dashboard, and Specific Views, ensuring a more standardized and flexible approach to permission management. This ensures consistent permission behavior across the user interface, APIs, viewer experience, and backend operations.

Why it matters: This is especially valuable in embedded analytics and multi-tenant environments where organizations need predictable access control across multiple user groups and customer segments.

Strengthen platform security

Bold BI v17.1.30 includes security enhancements across multiple platform components, including:

• SCA remediation.
• SAST fixes.
• XSS mitigations
• HTML injection protections.
• CSP validation improvements.
• Dependency package upgrades.

Why it matters: Strong governance and security controls become even more important as organizations adopt AI-powered analytics and embedded analytics at scale.

Modern analytics platform

Modern analytics platforms should support cloud-native architectures, real-time connectivity, scalable performance, and flexible data access strategies.

Bold BI v17.1.30 introduces several enhancements that strengthen its analytics platform foundation.

Connect directly to Azure Databricks

The Azure Databricks Direct Connector is now available within Bold BI Data Sources, enabling users to connect directly to Azure Databricks in Live Mode and analyze data in real time without requiring data extraction.

Organizations can build dashboards directly on top of Databricks-powered lakehouse environments while delivering up-to-date insights.

Why it matters: Direct Databricks connectivity supports modern analytics architectures by reducing data movement and enabling real-time analytics on cloud data platforms.

Accelerate dashboard performance with Code View initial load cache

Within Data Sources, Code View data sources now support Initial Load Cache, allowing SQL query results to be executed during dashboard initialization and cached using the existing Hybrid Data Cache infrastructure.

Why it matters: This enhancement helps organizations build scalable and reusable analytics experiences by reducing repeated query execution while maintaining centralized security and governance controls.

Enable secure Oracle connectivity with TCPS support

Secure Oracle connectivity has been expanded across data integration, data management, and metadata storage workflows through TCPS support for Oracle Connector, Oracle Data Store, IMDB, and metadata database connections.

Why it matters: Secure connectivity helps organizations meet enterprise security requirements while supporting modern Oracle environments.

Improve data modeling and query design experiences

Several enhancements have been introduced across the Data Source designer experience to simplify data preparation, query design, relationship management, and schema exploration workflows, including:

• Search and sort support in the Expression popup.
• Search support in SQL Connector Extract Mode.
• Grouping support in Data Filters.
• Improved Data Relationship management.
• Graphical relationship visualization for joins and tables.
• Arithmetic operations with window expressions.
• Improved View Schema experiences.

Why it matters: These enhancements simplify complex data modeling tasks and improve productivity for analytics teams.

Visualize data relationships directly in the designer

The Data Source Designer now includes graphical relationship lines that visually represent configured tables and their join relationships.

This enhancement makes it easier to understand data models, validate table connections, and navigate complex relationship structures during data source configuration.

Why it matters: Visual relationship mapping helps analytics teams understand data models more quickly while reducing configuration errors.

Simplify complex filtering with grouped data filters

The Data Filters experience has been redesigned to support nested filter groups with AND/OR operators, live filter query previews, and streamlined filter management actions.

These enhancements make it easier to build sophisticated filtering logic while maintaining visibility into the resulting query structure.

Why it matters: Teams can manage complex filtering scenarios more efficiently while improving reporting accuracy and data control.

Expand connectivity across modern data platforms

Bold BI continues to strengthen its data connectivity capabilities through support for:

• Spark SQL using the Simba Spark ODBC Driver.
• Improved Oracle integration capabilities.
• Enhanced SQL-based extraction workflows.

Why it matters: Expanded connectivity enables organizations to bring more data into analytics workflows while supporting modern data architectures.

Enhance Data Hub usability and connectivity

Bold Data Hub now includes several usability and connectivity enhancements, including:

• Additional opt_fields support in the Asana DataHub Connector.
• Pagination support in the Destination tab.
• TCPS support for Oracle Connector, Oracle Data Store, and IMDB.

Data Hub reliability has also been improved through enhanced JSON processing capabilities, including fixes for nested JSON object handling, large-column JSON file processing, and field-name casing conflicts, helping ensure more reliable ingestion and transformation workflows.

Why it matters: These enhancements improve connector flexibility, simplify administration, and strengthen secure connectivity across Data Hub environments.

Interactive analytics experiences

Bold BI continues to improve how users interact with data by making dashboards more responsive, interactive, and customizable.

Let’s explore the latest dashboard experience enhancements.

Interactive data exploration with the Modern Range Slider

Within the dashboard designer, the new Modern Range Slider provides a smoother and more intuitive way to filter data directly within dashboard experiences.

Users can dynamically explore measures such as revenue, profitability, sales volume, and operational KPIs through an interactive filtering experience.

Why it matters: The Modern Range Slider encourages more natural and interactive data exploration.

Improve dashboard responsiveness with tab widget performance enhancements

Bold BI v17.1.30 includes architectural improvements to Tab widget lazy-loading behavior that help dashboards load more efficiently and navigate more smoothly.

These enhancements reduce rendering overhead while improving responsiveness in dashboards that contain multiple tabs and complex visualizations.

Why it matters: Faster dashboard loading and smoother tab navigation help deliver a more responsive analytics experience for business users.

Expanded modern widget capabilities

Modern dashboard widgets continue to evolve with additional capabilities across Charts, Grid, Tree Map, Proportional Charts, Cards, and Combo Box widgets. These enhancements bring greater feature parity, customization, responsiveness, and usability to the modern dashboard experience.

Why it matters: Expanded widget capabilities help organizations standardize on modern dashboard experiences.

Additional dashboard usability enhancements

This release also introduces:

• Data Label Wrapping for Modern Proportion Charts.
• Subtitle color customization across supported widgets.
• Trailing zero formatting preservation.
• Enhanced filter experiences for large datasets.
• Base64 and SVG image support within Rich Text Editor widgets.
• Pivot Grid optimization controls for unique datasets.
• Improved platform performance and reliability.

Why it matters: These enhancements make dashboards easier to build, customize, and consume while supporting more advanced analytics scenarios.

Modern deployment and administration

Managing analytics infrastructure at scale requires flexible deployment options, automation capabilities, and streamlined administration experiences.

Let’s explore the latest deployment enhancements.

Deploy Bold BI on Linux-based Azure Web Apps

Organizations can now deploy Bold BI on Linux-based Azure Web Apps using containers, expanding cloud-native hosting options and aligning analytics deployments with modern infrastructure strategies.

Why it matters: Organizations can deploy and manage analytics using containerized Azure environments more efficiently while aligning with Bold BI’s long-term deployment strategy as support for Windows-based Azure Web App deployments is being phased out.

Enhanced Windows installer experience

The Windows installation experience has been improved with pre-validation checks that identify common deployment issues before the application launches.

The installer can identify permission errors, insufficient disk space, and service startup failures before deployment proceeds.

Why it matters: Early validation improves deployment success rates and reduces troubleshooting time.

Additional administration enhancements

Across administration, identity management, and deployment workflows, this release also introduces:

• Automatic Extract Data Source refreshes in destination sites after migration publishing.
• Improved recipient selection performance through virtual scrolling.
• Oracle TCPS support for metadata databases.
• Added support for disabling SSL certificate validation in OpenID authentication settings.
• Additional performance and reliability enhancements were introduced across authentication, session validation, dashboard loading, permissions, scheduling, and configuration workflows.

Why it matters: These enhancements simplify administration while improving reliability and scalability across enterprise analytics environments.

Other bug fixes and minor improvements

Along with the major enhancements, Bold BI v17.1.30 includes numerous fixes and optimizations across the dashboard designer, server platform, data sources, Data Hub, identity management, embedding, AI, and deployment experiences.

• Reliability: Improved dashboard rendering, exports, Pivot Grid calculations, filtering experiences, scheduling workflows, and widget interactions.
• Performance: Enhanced dashboard loading, query execution, caching, rendering efficiency, server workflows, navigation performance, and administration workflows.
• Compatibility: Improved support across Azure Databricks, Oracle, Spark SQL, embedded analytics environments, and modern dashboard experiences.
• Security: Strengthened protection through vulnerability remediation, validation improvements, security hardening initiatives, and dependency upgrades.
• Data connectivity: Improved reliability for modern cloud platforms through fixes for Google BigQuery connection scenarios and Microsoft Fabric Warehouse workspace connectivity.

Explore Bold BI v17.1.30 with AI-native analytics, embedded analytics capabilities, enterprise governance controls, and modern platform enhancements designed to support the future of analytics.

How Bold BI v17.1.30 supports the future of analytics

The analytics landscape is evolving rapidly, and several enhancements in v17.1.30 directly support where the industry is heading.

AI agents are becoming analytics consumers

MCP and Skills support enables secure, context-aware interactions between AI agents and analytics resources, helping organizations prepare for emerging agentic analytics scenarios.

Embedded analytics is becoming a SaaS standard

SDK enhancements, dashboard view permissions, governance improvements, and expanded APIs help developers build analytics directly into SaaS applications and customer-facing products.

Governance becomes more important as AI adoption grows

Permissions, APIs, security controls, administrative automation, and domain management capabilities help organizations maintain control while expanding access to analytics.

Modern data architectures require flexible connectivity

Azure Databricks, Spark SQL, Oracle TCPS support, Data Hub improvements, and performance enhancements help organizations connect analytics to increasingly diverse cloud and enterprise data environments.

Real-world analytics scenarios enabled by Bold BI v17.1.30

The Bold BI v17.1.30 release is designed to address emerging challenges across AI, embedded analytics, governance, connectivity, and enterprise administration.

Conclusion

Bold BI® v17.1.30 represents another step toward the future of analytics, where AI agents, embedded intelligence, enterprise governance, and modern data connectivity work together to deliver smarter decision-making experiences.

From MCP and Skills support and multi-model AI capabilities to enhanced embedded analytics workflows, dashboard view permissions, administration APIs, expanded cloud-data connectivity, and modern deployment options, this release helps organizations build analytics platforms that are ready for the next generation of AI-native and enterprise analytics use cases.

Whether you’re empowering business users with self-service analytics, embedding insights into SaaS applications, managing multi-tenant analytics deployments, or preparing for agentic analytics workflows, Bold BI v17.1.30 provides the foundation to move forward with confidence.

Ready to explore what’s new? Download Bold BI v17.1.30 today or start a free trial to experience the latest innovations in self-service and embedded analytics. For a complete list of features, improvements, and fixes, visit the release history page. If you need assistance, contact our support team.