Tiger Analytics

1 review

Tiger Analytics is a global leader in AI and analytics, dedicated to assisting Fortune 1000 companies in solving their most complex challenges. With a team of over 4,000 technologists and consultants across the US, Canada, the UK, India, Singapore, and Australia, Tiger Analytics offers full-stack AI and analytics services and solutions. Their mission is to push the boundaries of AI and analytics, enabling enterprises to navigate uncertainty and move forward decisively. Key Features and Functionality: - Strategy & Advisory: Develops agile roadmaps to achieve business goals through data, technology, and organizational structure. - Data Engineering: Builds efficient pipelines to transform data into actionable insights swiftly. - AI/ML Solutions: Provides intelligent algorithms and frameworks for actionable insights, including data science, AI engineering, and machine learning products and platforms. - Operationalizing Insights: Integrates analytics into business processes to promote data-driven decisions and create personalized experiences. Primary Value and Solutions: Tiger Analytics empowers businesses to achieve real outcomes and value at scale by transforming enterprise data into intelligent action. Their comprehensive services address industry-specific challenges, enabling clients to enhance customer experiences, optimize operations, and drive sustainable growth. By leveraging cutting-edge AI and analytics, Tiger Analytics provides certainty in decision-making, helping enterprises navigate complexity and move forward with confidence.

Tiger Analytics Insights Agents

0 reviews

Tiger Analytics Insights Agents is an AI-driven platform that transforms natural language queries into actionable business insights from structured data. Utilizing Large Language Models (LLMs) and AWS native services like AWS Bedrock, AWS Athena, and AWS Redshift, it orchestrates a network of specialized agents to handle tasks such as SQL generation, charting, insights synthesis, retrieval-augmented generation (RAG), and machine learning (ML) modeling. This collaborative approach enables the system to manage complex analytical requests, including multi-table joins and predictive modeling, delivering outputs in the form of queries, charts, summaries, or detailed diagnostics. The platform's observability features track performance metrics like latency, cost, and token consumption, ensuring transparency and optimization. By dynamically adapting to user intent, Insights Agents empowers business users to effortlessly transition from questions to insights across a range of analytical complexities. Key Features and Functionality: - Task-Specific Agents: Dedicated agents handle individual tasks—such as SQL generation, insights synthesis, charting, RAG, ML modeling, or Python scripting—ensuring precise, composable, and explainable outputs. - Complex Data Handling: Capable of managing multi-table joins, intricate business metrics, ML models, and multi-modal outputs, including narrative summaries and visual analytics. - Intuitive Interface: Provides a chat-based interface that allows users to ask follow-up questions, refine queries, and explore data without the need for SQL knowledge or coding skills. Primary Value and User Solutions: Insights Agents democratizes data analysis by enabling business users to generate comprehensive insights without technical expertise. By automating the decomposition of complex queries and coordinating specialized agents, it streamlines the analytical process, reducing the time and effort required to interpret structured data. This leads to more informed decision-making, enhanced operational efficiency, and the ability to uncover valuable insights that drive business growth.