Sigma Features

Reports (5)

Reports Interface: Based on 281 Sigma reviews and verified by the G2 Product R&D team. Reports interface for standard and self-service reports is intuitive and easy to use.
Steps to Answer: Based on 271 Sigma reviews and verified by the G2 Product R&D team. Requires a minimal number of steps/clicks to answer business question.
Graphs and Charts: Based on 288 Sigma reviews and verified by the G2 Product R&D team. Offers a variety of attractive graph and chart formats.
Score Cards: Based on 257 Sigma reviews and verified by the G2 Product R&D team. Score cards visually track KPI's.
Dashboards: Based on 281 Sigma reviews and verified by the G2 Product R&D team. Provides business users an interface to easily design, refine and collaborate on their dashboards

Calculated Fields: Based on 277 Sigma 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.
Data Column Filtering: Based on 285 Sigma 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.
Data Discovery: Based on 272 Sigma reviews and verified by the G2 Product R&D team. Users can drill down and explore data to discover new insights.
Search: Based on 274 Sigma reviews and verified by the G2 Product R&D team. Ability to search global data set to find and discover data.
Collaboration / Workflow: Based on 273 Sigma 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.
Automodeling: Based on 244 Sigma reviews and verified by the G2 Product R&D team. Tool automatically suggests data types, schemas and hierarchies.

Predictive Analytics: Analyze current and historical trends to make predictions about future events. This feature was mentioned in 239 Sigma reviews.
Data Visualization: Based on 281 Sigma reviews and verified by the G2 Product R&D team. Communicate complex information clearly and effectively through advanced graphical techniques.
Big Data Services: Based on 256 Sigma reviews and verified by the G2 Product R&D team. Ability to handle large, complex, and/or siloed data sets.

Data Transformation: Based on 111 Sigma 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.
Data Modeling: Based on 110 Sigma 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.
WYSIWYG Report Design: Based on 97 Sigma 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)
Integration APIs: Based on 93 Sigma 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.

Connectors: Based on 265 Sigma 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.
Data Governance: Based on 249 Sigma 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

Data Querying: Based on 281 Sigma 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
Data Filtering: Based on 284 Sigma 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.
Data Blending: Based on 264 Sigma reviews and verified by the G2 Product R&D team. Allows the user to combine data from multiple sources into a functioning dataset.

Autonomous Task Execution: Capability to perform complex tasks without constant human input 21 reviewers of Sigma have provided feedback on this feature.
Multi-step Planning: Ability to break down and plan multi-step processes 21 reviewers of Sigma have provided feedback on this feature.
Cross-system Integration: Based on 22 Sigma reviews. Works across multiple software systems or databases
Adaptive Learning: Improves performance based on feedback and experience This feature was mentioned in 20 Sigma reviews.
Natural Language Interaction: As reported in 21 Sigma reviews. Engages in human-like conversation for task delegation
Proactive Assistance: As reported in 22 Sigma reviews. Anticipates needs and offers suggestions without prompting
Decision Making: As reported in 21 Sigma reviews. Makes informed choices based on available data and objectives

No-code Dashboard Builder: Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces 20 reviewers of Sigma have provided feedback on this feature.
Report Scheduling and Automation: Enables automated report generation and scheduled delivery to stakeholders 19 reviewers of Sigma have provided feedback on this feature.
Embedded Analytics and White-labeling: Allows dashboards and analytics to be embedded into external apps with branding flexibility 19 reviewers of Sigma have provided feedback on this feature.
Data Source Connectivity: Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications This feature was mentioned in 20 Sigma reviews.

Data Modeling and Governance: Supports semantic data layers, role-based access controls, and metadata governance This feature was mentioned in 20 Sigma reviews.
Notebook and Script Integration: Based on 20 Sigma reviews. Integrates with Jupyter, Python, or R for custom analytics and modeling
Built-in Predictive and Statistical Models: Based on 19 Sigma reviews. Provides native tools for statistical analysis, forecasting, and trend prediction

Auto-generated Insights and Narratives: Uses AI to generate textual summaries, key takeaways, and data stories from dashboards This feature was mentioned in 20 Sigma reviews.
Natural Language Queries: Allows users to query data and build reports using conversational or plain language 21 reviewers of Sigma have provided feedback on this feature.
Proactive KPI Monitoring and Alerts: As reported in 20 Sigma reviews. Detects and notifies users about KPI anomalies or significant metric changes in real time
AI Agents for Analytical Follow-ups: As reported in 18 Sigma reviews. Recommends next questions, analyses, or exploration paths using autonomous AI agents

Behavioral Learning for Contextual Query Refinement: As reported in 21 Sigma reviews. Learns from historical user interactions to improve and personalize query results over time
Role-based Insight Personalization: Based on 20 Sigma reviews. Tailors dashboard views and suggestions based on user roles, access levels, and past behavior
Conversational and Prompt-based Analytics: Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying This feature was mentioned in 20 Sigma reviews.