GenBI for ASUS

Breaking technical barriers with Amazon Bedrock-powered GenBI to empower employees with data mining capabilities and data visualization for data-driven decision-making.

Utilizing Generative Business Intelligence (GenBI) to enable ASUS internal staff to grasp product data in real-time and convert it into actionable business insights.

About
Challenge

ASUSTEK COMPUTER INCORPORATION

ASUS is a global technology leader focused on the R&D and innovation of computer hardware and smart devices. Its product portfolio includes laptops, motherboards, graphics cards, servers, and AIoT solutions. Renowned internationally for superior quality and innovative design, ASUS is committed to driving digital transformation and sustainable development, maintaining a strong brand influence and a broad global customer base.

As global market expansion and business scale grow, ASUS continues to strengthen its data-driven decision-making capabilities, leading to a rapid increase in demand for real-time sales insights. Analysis relied heavily on data teams manually processing large volumes of data, consolidating reports, and producing charts. This cumbersome process affected decision-making efficiency. A key challenge in their digital transformation was enabling different departments to quickly query sales data by product and region, reducing reliance on analysts while improving overall efficiency.

Key pain points included:

  • Lengthy Data Acquisition Process: Business and product teams had to rely on analysts to extract and organize data. The back-and-forth communication was time-consuming and hindered decision speed.
  • Highly Centralized Analytical Resources: A massive volume of ad-hoc queries and reporting needs fell on a small number of data personnel, creating human resource bottlenecks.
  • High Barrier to Entry for Non-Technical Staff: The lack of intuitive query tools made it difficult for employees to independently obtain sales insights by product or region, preventing the full release of data value.

Solution

Built on the AWS Well-Architected Framework, this solution utilizes Amazon Bedrock to create an autonomous AI Agent with Generative BI capabilities, deeply integrated into ASUS's existing data workflows.

Feature Highlights
  • Users can input questions in natural language; the system automatically parses these to generate corresponding SQL queries.
  • The system generates charts based on data table content to intuitively present relationships and trends, while also writing analytical text to provide precise insight reports.

  • Supports chart downloads for easy integration into reports or presentations, boosting workflow efficiency.

  • Maintains personalized historical conversation records, allowing users to track and continue previous interactions.
  • Supports personalized settings including toggles for frontend processes, language switching (Chinese/English), and switching between different business domain modules.

Feature

Solution Architecture

Result
  • Created a self-service data analysis environment that allows business and product teams to obtain real-time sales insights.

  • Automated traditional report generation, shortening the data acquisition and decision-making cycles.

  • Established a scalable data application architecture, laying the foundation for future AI application scenarios.
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