Report:

A: This research evaluates 14 leading augmented business intelligence platform providers across 27 criteria grouped into current offering (core enterprise BI, augmented BI/advanced analytics, conversational UI, enterprise functionality, deployment options, application development, and business app integration), strategy (vision, innovation, roadmap, partner ecosystem, adoption, and pricing), and market presence (revenue and customer base). The evaluation focuses on general-purpose, standalone enterprise BI platforms with native augmented BI capabilities targeting business users, not just data professionals.

A: Technology and data professionals seeking to select an augmented BI platform for their organization should use this research. It helps decision-makers understand vendor strengths and weaknesses, compare platforms based on specific criteria important to their needs, and identify which vendors are best suited for different use cases such as native cloud deployments, hybrid environments, integration with specific business applications, or embedded analytics scenarios.

A: All vendors included must offer: 1) A general-purpose, standalone enterprise BI platform (not embedded in business apps) capable of building any BI application, 2) Native augmented BI capabilities including single-click advanced analytics (anomaly detection, influencer identification, forecasting) and conversational UI with natural language query (NLQ) and generation (NLG), 3) Capabilities designed for business users beyond just data/analytics professionals, 4) Minimum $90M in BI product revenue demonstrating market viability, 5) Proven deployment at enterprise scale (1,000+ users) in large organizations, and 6) Regular discussion by Forrester clients indicating market mindshare and consideration.

A:

• BI platforms embedded in transactional or operational business applications rather than standalone platforms
• Platforms lacking native augmented BI capabilities (must have out-of-the-box ML features and conversational UI)
• Platforms designed primarily for data/analytics professionals without business user focus
• Insufficient market presence (less than $90M in BI product revenue)
• Limited enterprise adoption or lack of large-scale deployments (fewer than 1,000 users)
• Low mindshare among Forrester clients (infrequently discussed in inquiries)
• Domain-specific or vertical-focused BI tools rather than general-purpose platforms
• Platforms requiring separate purchases for augmented BI capabilities rather than native inclusion

A:

• Machine learning capabilities for deeper insights to address data scientist scarcity and empower citizen data scientists
• Conversational UI quality (NLQ and NLG) for broader user access and self-service capabilities
• Core enterprise BI strength as foundation remains critical despite commoditization
• Deployment options including SaaS, client-managed cloud, on-premises, and hybrid flexibility
• Number and types of connectors for business applications with live query, data ingest, and OOTB data models
• Support for modern SDLC platforms (Git) for DevOps and embedded BI development
• BI fabric and governance capabilities for metadata management and data democratization
• Integration strength with existing technology ecosystem (cloud platforms, business applications)
• Vendor's strategic vision, innovation roadmap, and partner ecosystem strength
• Customer satisfaction levels, particularly with augmented BI features vs. core BI capabilities

A:

• AI and machine learning continue to augment traditional enterprise BI platform capabilities
• Augmented BI empowers users to become citizen data scientists, addressing scarcity of professional data scientists
• Conversational UIs (NLQ/NLG) democratize insights for users uncomfortable with complex point-and-click interfaces
• Core enterprise BI remains foundational despite commoditization, as augmented features are still emerging
• 91% of advanced maturity firms adopt augmented BI vs. 59% of beginners, creating competitive differentiation
• About one-third of reference customers not yet using augmented BI functionality
• Deployment flexibility (SaaS, client-managed, hybrid, multi-cloud) increasingly important
• Integration with popular SDLC platforms (Git) for DevOps approaches gaining importance
• Business application connectors with live query, data ingest, and OOTB data models in high demand

A: Current Offering (vertical axis) evaluates the strength of vendors' existing products including core BI capabilities, augmented analytics features, conversational UI, enterprise functionality, deployment options, application development capabilities, and business app integrations. Strategy (horizontal axis) assesses vendors' future direction including vision, innovation, product roadmap, partner ecosystem strength, market adoption levels, and pricing models. Market Presence (bubble size) reflects revenue and customer base, providing context on vendor scale and reach.