Building a GenAI Powered Self-Serve Analytics solution

Every business wants to leverage the actionable insights that lie hidden in their data.

This need spans organizations, from medium scale companies to giant firms. At Infogain, we encountered a similar situation with our client, a huge software firm. The firm supports 13 key products on sites that include over 10,000 web pages. These sites drive and sustain a significant portion of digital revenue and billions of customers visit them annually, so the marketing, content, and publishing demands for an operation of this size are massive.

The firm wanted to leverage its data to improve this digital presence, but their content operations had significant problems, including:

Clearly, it needed a modern AI-enabled holistic content ops solution.

To mitigate and resolve these challenges. Our team implemented a GenAI-powered self-serve analytics solution, aimed at addressing these challenges and enhancing the data insights process.

The data leveraged for this solution is unstructured in nature which included:

To leverage this unstructured data, we adopted a sophisticated multi-agentic retrieval-augmented generation (RAG) framework built on these pillars:

This structured approach ensures that users can seamlessly navigate and extract meaningful insights from complex and unstructured data.

By leveraging the multi-agentic RAG framework, users also benefit from intelligent query handling, comprehensive performance overviews and detailed insights. This makes data-driven decision-making more accessible, efficient, and effective.

Moving Beyond a Chatbot

The self-serve analytics solution enhances traditional chatbot capabilities by incorporating advanced functionalities. Powered by GenAI, it provides a centralized platform for users to access, understand, and derive insights from complex reports. Key components include:

The GenAI-powered self-serve analytics solution enables users to drill down into specific data points, receive recommendations, and ask real-time questions. It provides both a comprehensive overview and detailed insights into areas of interest, so data-driven decision-making becomes more accessible and efficient. By integrating these components, the self-serve Insights solution transcends the basic functionalities of a chatbot, offering a comprehensive solution for better decision making and operational management.