Microsoft Power BI Features

Based on 1019 Microsoft Power BI reviews and verified by the G2 Product R&D team. Reports interface for standard and self-service reports is intuitive and easy to use.

Based on 957 Microsoft Power BI reviews and verified by the G2 Product R&D team. Requires a minimal number of steps/clicks to answer business question.

Based on 1023 Microsoft Power BI reviews and verified by the G2 Product R&D team. Offers a variety of attractive graph and chart formats.

Score cards visually track KPI's. 674 reviewers of Microsoft Power BI have provided feedback on this feature.

Based on 1007 Microsoft Power BI reviews and verified by the G2 Product R&D team. Provides business users an interface to easily design, refine and collaborate on their dashboards

Using formulas based on existing data elements, users can create and calculate new field values. 877 reviewers of Microsoft Power BI have provided feedback on this feature.

As reported in 883 Microsoft Power BI reviews. Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Based on 963 Microsoft Power BI reviews and verified by the G2 Product R&D team. Users can drill down and explore data to discover new insights.

As reported in 849 Microsoft Power BI reviews. Ability to search global data set to find and discover data.

Based on 939 Microsoft Power BI reviews and verified by the G2 Product R&D team. Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms.

Based on 874 Microsoft Power BI reviews and verified by the G2 Product R&D team. Tool automatically suggests data types, schemas and hierarchies.

Based on 733 Microsoft Power BI reviews and verified by the G2 Product R&D team. Analyze current and historical trends to make predictions about future events.

Based on 1009 Microsoft Power BI reviews and verified by the G2 Product R&D team. Communicate complex information clearly and effectively through advanced graphical techniques.

Based on 734 Microsoft Power BI reviews and verified by the G2 Product R&D team. Ability to handle large, complex, and/or siloed data sets.

Based on 581 Microsoft Power BI reviews and verified by the G2 Product R&D team. Converts data formats of source data into the format required for the reporting system without mistakes.

Based on 572 Microsoft Power BI reviews and verified by the G2 Product R&D team. Ability to (re)structure data in a manner that allows extracting insights fast and accurate.

Based on 505 Microsoft Power BI reviews and verified by the G2 Product R&D team. Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get)

Based on 502 Microsoft Power BI reviews and verified by the G2 Product R&D team. Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc with other software applications.

Based on 635 Microsoft Power BI reviews and verified by the G2 Product R&D team. Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications.

Based on 623 Microsoft Power BI reviews and verified by the G2 Product R&D team. Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data

Based on 649 Microsoft Power BI reviews and verified by the G2 Product R&D team. Using formulas based on existing data elements, users can create and calculate new field values

Based on 662 Microsoft Power BI reviews and verified by the G2 Product R&D team. Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Based on 646 Microsoft Power BI reviews and verified by the G2 Product R&D team. Allows the user to combine data from multiple sources into a functioning dataset.

Based on 303 Microsoft Power BI reviews. Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary. This feature was mentioned in 301 Microsoft Power BI reviews.

Capability to perform complex tasks without constant human input 147 reviewers of Microsoft Power BI have provided feedback on this feature.

Ability to break down and plan multi-step processes This feature was mentioned in 148 Microsoft Power BI reviews.

Works across multiple software systems or databases 147 reviewers of Microsoft Power BI have provided feedback on this feature.

Improves performance based on feedback and experience 148 reviewers of Microsoft Power BI have provided feedback on this feature.

Engages in human-like conversation for task delegation This feature was mentioned in 147 Microsoft Power BI reviews.

As reported in 146 Microsoft Power BI reviews. Anticipates needs and offers suggestions without prompting

As reported in 151 Microsoft Power BI reviews. Makes informed choices based on available data and objectives

Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces 115 reviewers of Microsoft Power BI have provided feedback on this feature.

Enables automated report generation and scheduled delivery to stakeholders This feature was mentioned in 116 Microsoft Power BI reviews.

Allows dashboards and analytics to be embedded into external apps with branding flexibility This feature was mentioned in 114 Microsoft Power BI reviews.

As reported in 116 Microsoft Power BI reviews. Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications

As reported in 116 Microsoft Power BI reviews. Efficiently processes large datasets with minimal lag and ensures high performance under load

Maintains performance and uptime during high traffic from multiple users or teams This feature was mentioned in 113 Microsoft Power BI reviews.

Based on 113 Microsoft Power BI reviews. Supports semantic data layers, role-based access controls, and metadata governance

As reported in 112 Microsoft Power BI reviews. Integrates with Jupyter, Python, or R for custom analytics and modeling

Provides native tools for statistical analysis, forecasting, and trend prediction This feature was mentioned in 110 Microsoft Power BI reviews.

As reported in 108 Microsoft Power BI reviews. Uses AI to generate textual summaries, key takeaways, and data stories from dashboards

Based on 109 Microsoft Power BI reviews. Allows users to query data and build reports using conversational or plain language

Detects and notifies users about KPI anomalies or significant metric changes in real time 107 reviewers of Microsoft Power BI have provided feedback on this feature.

Recommends next questions, analyses, or exploration paths using autonomous AI agents This feature was mentioned in 107 Microsoft Power BI reviews.

As reported in 108 Microsoft Power BI reviews. Learns from historical user interactions to improve and personalize query results over time

Tailors dashboard views and suggestions based on user roles, access levels, and past behavior This feature was mentioned in 109 Microsoft Power BI reviews.

Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying This feature was mentioned in 107 Microsoft Power BI reviews.

Supports deployment across multiple environments or cloud platforms with consistent configuration management

Provides APIs and SDKs for seamless integration with orchestration, governance, and custom data tools

Allows querying and joining data across multiple warehouses and lakes without requiring data replication

Automatically adapts to schema or metadata changes in connected data sources while maintaining consistency

Enables users to create derived or calculated metrics based on governed data definitions

Provides built-in support for time-based calculations such as YoY, MoM, and rolling averages

Enhances performance by using intelligent caching, precomputation, and acceleration techniques

Automatically tunes and optimizes queries based on data size, frequency, and usage patterns

Provides visibility and control over how AI systems or automated agents interact with the semantic layer

Tracks how governed metrics and datasets are used in AI/ML training to ensure transparency, compliance, and clear data traceability

Provides version control for semantic models and metrics, with change tracking, rollback, and impact analysis to see how updates affect downstream data or reports

Allows users or AI assistants to explore and query metrics through natural language prompts

Enables AI and machine learning systems to directly consume standardized, governed metrics and logic

Suggests relevant metrics, joins, or insights based on context and historical usage patterns

Enables autonomous AI agents to compose, execute, and refine analytical queries via the semantic layer

Provides semantic context graphs that help AI agents understand data relationships and business logic

Allows semantic agents to trigger automated actions such as data refreshes, alerts, or report generation