Pyramid Decision Intelligence Platform Overview
The Pyramid Decision Intelligence Platform is a scalable, Kubernetes-based solution that democratizes data access and advanced analytics through over 250 connectors, a direct query engine, a universal semantic layer, and user-friendly modeling and data flow tools, enabling organizations to make smarter decisions securely across on-premises, cloud, or hybrid deployments with comprehensive support.
From raw data to smart decisions at the speed of business
Pyramid’s decision intelligence platform enables organizations to democratize data, allowing everyone—regardless of technical skill—to interact with data, ask questions, and make smarter decisions.
Key Pillars
Adoption
With Pyramid, data is accessible to all, not just data professionals.
Sophistication
Advanced capabilities are available for users at every skill level.
Performance
The platform is designed for high performance and scalability.
Governance & Security
Robust governance and security features ensure data integrity and compliance.
Service & Support
Comprehensive support is available for deployment and ongoing use.
Deploy
- On-prem, cloud, hybrid: Install Pyramid natively on Windows or Linux servers, on-premises, in the cloud, or in hybrid environments.
- Managed hosting: Pyramid offers managed hosting, handling setup, administration, and support.
- Kubernetes-based architecture: The mini-services architecture leverages containerized Kubernetes deployments for automatic, real-time scaling and consistent performance.
Connect
- Data sources: Over 250 built-in connectors provide instant access to a wide range of data sources, working directly on top of existing infrastructure.
- Direct query engine (PYRANA): Query data in place without moving or copying it, with advanced analytical functions for complex calculations.
Prepare
- Modeling: Users of all skill levels can build, customize, and share sophisticated data models for relational, dimensional, or hierarchical data.
- Universal semantic layer: Virtual semantic models sit atop any data source, allowing for complex elements like joins and hierarchies without data duplication.
- Master Flow: Build and manage multiple data flows across models with customizable conditions and success criteria, using a point-and-click interface or PQL scripting.
- Data Science: Build, train, apply, and deploy machine learning models to discover patterns, detect anomalies, make predictions, and optimize decisions.
- Automate: Intelligent heuristics automate key parts of data modeling, establishing relationships, defining measures, and organizing data models.
Analyze
- Generative BI (GenBI): Ask questions in plain language; the chatbot translates them into complex queries and delivers results.
- Data exploration and visualization: Drag-and-drop attributes and measures to create over 200 types of visualizations, with no-code context menus for slicing, dicing, and drilling.
- Tabulate: Use spreadsheet formulas to create blended visualizations and business models from multiple data sources.
- Advanced analytics: Features like forecasting, outlier detection, date-time groupings, and regression functions for deeper insights.
- Formulate: Build and share custom calculations and business logic for reports and dashboards using a visual interface.
- Automate: AI and machine learning automatically analyze data and generate insights, with features like Explain and Explain the Difference.
Distribute
- Reports & dashboards: Build interactive analytics and static reports, personalize content for stakeholders, and customize branding.
- File formats: Export reports to PDF, Word, Excel, PowerPoint, JSON, and image files.
- Embed into apps & websites: Integrate analytics into apps and websites for seamless user experiences.
- Scheduled distribution: Automate report delivery based on schedules.
- Trigger alerts: Set up custom alerts for key events or metrics.
Collaborate
- Annotations and comments: Team members can comment directly on dashboards or data points for real-time collaboration.
- Data snapshots: Attach snapshots to comments for precise context.
Govern
- Granularity: Set permissions at any level—from datasets to individual cells.
- Tabulate: Maintain a single source of truth with spreadsheet-style governance and access controls.
- Business logic: Centralize and standardize calculations, metrics, and definitions in a governed repository.
- Usage: Monitor resource consumption and user engagement to track adoption and identify training needs.
Recognitions
- Visionary: Recognized in the 2026 Gartner® Magic Quadrant™ for ABI.
- Ranked #1: Gartner® Critical Capabilities 2026.
- Ranked #1: BARC BI & Analytics Survey 26.
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