Logo
Sign in
Product Logo
Orbit Augmented AnalyticsOrbit Analytics

Orbit Augmented Analytics uses AI and ML to automate data workflows, enabling intuitive, real-time insights for technical and non-technical users.

Vendor

Vendor

Orbit Analytics

Company Website

Company Website

Product details

Orbit Augmented Analytics is a next-generation business intelligence solution that leverages artificial intelligence (AI), machine learning (ML), and generative AI to automate and enhance the entire analytics lifecycle. Designed to democratize data access, it empowers users—regardless of technical expertise—to interact with data through natural language queries, automated insights, and contextual storytelling. Orbit’s platform transforms complex data into actionable intelligence, accelerating decision-making and innovation across organizations.

Features

  • AI and ML Integration: Continuously analyzes historical data to uncover patterns, detect anomalies, and predict trends. Supports real-time insights from structured and unstructured data.
  • Natural Language Processing (NLP) & Generation (NLG): Enables users to query data using simple language and receive understandable, narrative-style explanations of complex insights.
  • Smart Data Preparation with Automation: Automates the entire analytics lifecycle—from data cleaning and preparation to model deployment—using AI-driven workflows and recommendations.
  • Advanced Data Visualization: Offers automated statistical analysis and recommended visualizations to make complex data more interpretable.
  • Contextual and Guided Analysis: Provides structured, collaborative exploration of data trends and anomalies, enhancing understanding and reducing bias.
  • Augmented Data Management: Supports ingestion, preparation, analytics content creation, and DSML (Data Science and Machine Learning) model development.

Benefits

  • Accessibility for All Users: Makes analytics approachable for non-technical users through conversational interfaces and automated storytelling.
  • Faster Decision-Making: Reduces manual effort and accelerates insight generation with AI-powered automation.
  • Improved Data Quality: Enhances data preparation and analysis with smart algorithms, reducing errors and inconsistencies.
  • Boosts Innovation: Encourages data adoption and exploration, turning challenges into opportunities.
  • Scalable Across Roles and Sectors: Supports deployment in cloud, on-premise, and hybrid environments, adaptable to various industries and business functions.