Omni Analytics Features

Based on 48 Omni Analytics reviews. Reports interface for standard and self-service reports is intuitive and easy to use.

Requires a minimal number of steps/clicks to answer business question. 45 reviewers of Omni Analytics have provided feedback on this feature.

As reported in 48 Omni Analytics reviews. Offers a variety of attractive graph and chart formats.

As reported in 42 Omni Analytics reviews. Score cards visually track KPI's.

As reported in 45 Omni Analytics reviews. Provides business users an interface to easily design, refine and collaborate on their dashboards

Reports interface for standard and self-service reports is intuitive and easy to use. This feature was mentioned in 30 Omni Analytics reviews.

Receive email reports and notifications regarding metrics. 32 reviewers of Omni Analytics have provided feedback on this feature.

Requires a minimal number of steps/clicks to answer business question. 28 reviewers of Omni Analytics have provided feedback on this feature.

Based on 45 Omni Analytics reviews. Using formulas based on existing data elements, users can create and calculate new field values.

Based on 45 Omni Analytics reviews. Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Users can drill down and explore data to discover new insights. This feature was mentioned in 47 Omni Analytics reviews.

Ability to search global data set to find and discover data. This feature was mentioned in 44 Omni Analytics reviews.

Based on 45 Omni Analytics reviews. 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 42 Omni Analytics reviews. Tool automatically suggests data types, schemas and hierarchies.

Based on 48 Omni Analytics reviews. Communicate complex information clearly and effectively through advanced graphical techniques.

As reported in 44 Omni Analytics reviews. Ability to handle large, complex, and/or siloed data sets.

Converts data formats of source data into the format required for the reporting system without mistakes. This feature was mentioned in 33 Omni Analytics reviews.

Based on 33 Omni Analytics reviews. Ability to (re)structure data in a manner that allows extracting insights fast and accurate.

Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get) 29 reviewers of Omni Analytics have provided feedback on this feature.

As reported in 23 Omni Analytics reviews. 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.

As reported in 27 Omni Analytics reviews. Ability to track historical data.

Track metrics in real time with consistent and frequent updates. 31 reviewers of Omni Analytics have provided feedback on this feature.

Based on 30 Omni Analytics reviews. Receive email reports and notifications regarding metric.

Ability to track historical data. 24 reviewers of Omni Analytics have provided feedback on this feature.

Track metrics in real time with consistent and frequent updates. 29 reviewers of Omni Analytics have provided feedback on this feature.

Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications. This feature was mentioned in 35 Omni Analytics reviews.

As reported in 35 Omni Analytics reviews. Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data

Using formulas based on existing data elements, users can create and calculate new field values 38 reviewers of Omni Analytics have provided feedback on this feature.

As reported in 39 Omni Analytics reviews. Business users have the ability to filter data in a report based on predefined or automodeled parameters.

As reported in 36 Omni Analytics reviews. Allows the user to combine data from multiple sources into a functioning dataset.

Offers a variety of attractive graph and chart formats. 29 reviewers of Omni Analytics have provided feedback on this feature.

As reported in 27 Omni Analytics reviews. Score cards visually track KPI's.

Provides business users an interface to easily design, refine and collaborate on their dashboards 28 reviewers of Omni Analytics have provided feedback on this feature.

Based on 26 Omni Analytics reviews. Allows one to create and export visualization into various formats (PNG, JPEG, etc.)

Provides the ability to easily share visualizations. 29 reviewers of Omni Analytics have provided feedback on this feature.

Based on 25 Omni Analytics reviews. Has the ability to edit visualization across devices and device types (e.g. computer and phone).

Based on 27 Omni Analytics 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 27 Omni Analytics reviews.

Allows users to generate text based on a text prompt. This feature was mentioned in 21 Omni Analytics reviews.

As reported in 21 Omni Analytics reviews. Condenses long documents or text into a brief summary.

As reported in 12 Omni Analytics reviews. Capability to perform complex tasks without constant human input

As reported in 11 Omni Analytics reviews. Ability to break down and plan multi-step processes

Works across multiple software systems or databases 10 reviewers of Omni Analytics have provided feedback on this feature.

Based on 10 Omni Analytics reviews. Improves performance based on feedback and experience

Engages in human-like conversation for task delegation This feature was mentioned in 12 Omni Analytics reviews.

Anticipates needs and offers suggestions without prompting This feature was mentioned in 10 Omni Analytics reviews.

Makes informed choices based on available data and objectives 11 reviewers of Omni Analytics have provided feedback on this feature.

Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces

Enables automated report generation and scheduled delivery to stakeholders

Allows dashboards and analytics to be embedded into external apps with branding flexibility

Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications

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

Supports semantic data layers, role-based access controls, and metadata governance

Integrates with Jupyter, Python, or R for custom analytics and modeling

Provides native tools for statistical analysis, forecasting, and trend prediction

Uses AI to generate textual summaries, key takeaways, and data stories from dashboards

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

Recommends next questions, analyses, or exploration paths using autonomous AI agents

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

Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying

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