Pyramid Analytics

Overview

Pyramid Analytics offers a Decision & Business Intelligence Platform designed to facilitate faster and more informed decision-making. The platform integrates data preparation, analytics, and data science within a unified environment.

Key Features

• Data Prep & Science — The platform includes data connectors and a direct query engine for data wrangling and advanced machine learning models.
• Semantics & Logic — Virtual semantic models simplify database complexities and allow for the creation of sophisticated functions, hierarchies, and custom formulas.
• Business Analytics — Users can query and analyze data from live sources using AI, drag-and-drop interfaces, or spreadsheet-like interactions to create visualizations and dashboards.
• Collaborate & Distribute — Features like annotations, real-time commenting, and data snapshots support team collaboration, alongside robust reporting capabilities for dynamic and static reports.
• Fully Governed & Secure — The platform provides granular, role-based access control, data consistency through features like Tabulate and Master Flow, and built-in auditing for compliance.
• AI-Powered Analytics — The platform leverages AI to deliver governed self-service experiences, enabling users to make data-driven decisions.
• Embedded Analytics — Pyramid Analytics supports the embedding of analytical capabilities into other applications and workflows.

Who It's For

The Pyramid Decision & Business Intelligence Platform is designed for both business users and data teams within organizations of varying sizes. It aims to empower individuals from the C-suite to the frontline with AI-driven, governed self-service analytics. The platform is particularly beneficial for companies looking to leverage existing investments in SAP BW and SAP HANA.

Notable Strengths

Pyramid Analytics' platform stands out for its all-in-one approach, consolidating data preparation, business analytics, and data science into a single environment. Its direct integration capabilities with various data infrastructures, including SAP, Snowflake, and Google BigQuery, allow for analysis directly on existing data sources without extractions. The platform also offers flexible deployment options, supporting private cloud, on-premises, hybrid, or managed hosting environments.