Pyramid Analytics Overview
Pyramid Analytics offers a comprehensive Business and Decision Intelligence Platform designed to integrate data preparation, business analytics, and data science into a single, frictionless environment. Here are the key aspects and features of the platform:
Unified Platform
Pyramid’s platform combines data prep, business analytics, and data science capabilities, enabling users to transform data into timely and effective decisions. It is built to support large-scale enterprises and scales with business growth.
Key Features
Data Preparation
The platform includes a no-code, point-and-click data prep module that connects, mashes up, cleans, and enriches data without moving it from the source. It also features automated data modeling using heuristics and techniques like Random Forest to impute missing values, ensuring robust data sets for analysis.
Business Analytics
Pyramid provides a self-service business analytics suite accessible to users of all technical skill levels. It includes a modern, no-code interface with AI-driven features, allowing users to build their own analytical content. The platform supports multiple data sources and offers a virtual semantic layer to simplify the analytical experience.
Data Science
The platform incorporates real-world data science capabilities, enabling both data scientists and non-technical users to collaborate. It supports training and testing machine learning models using out-of-the-box ML libraries, Python, or R. Machine learning is leveraged to spot trends, build what-if scenarios, and understand clusters.
AI and Machine Learning
Pyramid is heavily integrated with AI and machine learning. It features AI-augmented analytics, including auto-discovery, smart insights, and natural language processing. Users can generate SQL, DAX, MDX queries, and Python or R scripts using integrated ChatGPT. The “Explain” and “Explain the Difference” features use AI to provide holistic insights and explain data anomalies in plain language.
Analytical Modules
The platform includes seven analytical modules:
- Model: For building and managing data models.
- Formulate: A drag-and-drop interface for formulating custom expressions, lists, and KPIs.
- Discover: For data discovery with AI-driven features like Recommended Queries.
- Illustrate: For building data visualizations.
- Present: For presenting and sharing insights.
- Tabulate/Solve: For building business and decision models with complex logic.
- Publish: For publishing and sharing analytical content.
Deployment and Accessibility
Pyramid can be deployed in cloud, on-premises, or hybrid environments, supporting various cloud infrastructures like AWS, Azure, and Google Cloud. It offers a browser-based experience, making it accessible to a wide range of users.
User Experience
The platform is designed for intuitive use, with a no-code interface and AI-driven features that simplify analytics. It includes a chatbot that assists in report-building and data discovery using natural language prompts. The platform also supports over 200 visualization options and statistical analysis tools in a push-button format.
Benefits
Key benefits include:
- Speed and Efficiency: Significantly faster delivery of insights, with the time to get updated data into reports reduced by 50-75%.
- Data Integrity: Improved data integrity and consistency.
- Visibility: Enhanced visibility for users, such as salespeople, to access up-to-date information quickly.
- Scalability: Built to scale with business growth, ensuring the platform remains effective as the organization expands.
Overall, Pyramid Analytics’ Decision Intelligence Platform is designed to empower organizations to make faster, more informed decisions by integrating advanced analytics, AI, and machine learning into a user-friendly and scalable solution.