Our client’s global operations heavily relied on data analytics for informed decision-making. However, their internal data and analytics team faced a significant challenge. They were inundated with repetitive queries and requests from various departments, ranging from basic report generation to platform navigation assistance. This surge in routine requests hindered the team’s ability to focus on more complex data challenges, causing delayed responses and impacting business agility.
impacting business agility
Inability to focus on
complex data challenges
To address this challenge and optimize the data-driven decision-making process, we implemented an AI-driven chatbot. This solution aimed to reduce the workload on the data and analytics team, streamline operations, and expedite response times. Our approach involved:
- Understanding Common Queries by working closely with the client’s data and analytics team to categorize frequently asked questions and standard data requests.
- Analyzing historical request logs to identify recurring data and report retrieval queries.
- Designing the AI-Driven Chatbot with advanced Natural Language Processing (NLP) capabilities tailored to comprehend analytics-related queries.
- Equipping the chatbot with solutions for standard data requests, enabling it to autonomously generate and share reports, as well as provide guidance on platform navigation and data interpretation.
- Seamlessly integrating the chatbot into the company’s internal analytics portal, ensuring a user-friendly experience.
- Designing an intuitive interface that allowed even those with minimal analytics background to easily interact with the chatbot.
- Implementing a Continuous Learning and Feedback Loop where users could provide input on chatbot responses, facilitating the refinement and enhancement of the bot’s accuracy and utility.
- Conducting periodic reviews with the data team to update the bot’s knowledge base, ensuring its alignment with evolving data structures and business requirements.
The implementation of the AI-driven chatbot resulted in several significant benefits for our client:
- Immediate Query Resolution: The chatbot effectively addressed 68% of all standard queries, providing real-time solutions and significantly reducing response times.
- Improved Efficiency: Our client’s data & analytics team witnessed a 50% reduction in their workload related to basic queries, allowing them to concentrate on high-priority tasks and complex analytical challenges.
- Enhanced User Experience: Users appreciated the instant response and guidance provided by the chatbot, leading to a 40% increase in satisfaction scores related to data assistance.
- Cost Savings: By automating a substantial portion of routine tasks, the company realized a noticeable reduction in operational costs associated with the data & analytics help desk function.
The AI-driven chatbot not only streamlined operations and improved user satisfaction but also allowed the company’s data experts to redirect their efforts towards tasks that added higher value to the business. This case study exemplifies how our expertise in data and analytics services, combined with the strategic use of AI, transformed our client’s internal data support dynamics.
Thanks to Infocepts’ AI Chatbot — We saw a 68% drop in standard queries and a 40% boost in user satisfaction. Their solution not only streamlined our operations but also revolutionized our data support dynamics by freeing our experts for high-value tasks.
Director of Data & Analytics
Leading Publishing & Events Company
About the Client
Our client is a prominent publishing, exhibitions, and events company, specializing in content-led products and services for academic and business-to-business markets. They serve institutions, businesses, and professionals worldwide, facilitating knowledge acquisition and research.
Learn more about our fully managed AI solution, DiscoverYai — unlocking the power of AI-driven insights, without the risk.