The rapid advancement of AI technologies, particularly Large Language Models (LLMs), is establishing a new paradigm for Business Intelligence (BI). Despite the emergence of pioneering work in enhancing BI systems with LLMs, we have identified the following three issues when deployed in real industrial scenarios: interaction limitations, performance bottlenecks, and functionality deficiencies. In this paper, we present SiriusBI, an end-to-end business intelligence system that is designed to address the three issues simultaneously. First, we propose an intelligent and application-oriented module called multi-round dialogue with querying, which aims to overcome the prevalent interaction limitations in current BI solutions. Next, to mitigate the performance bottlenecks caused by scenario migration, we introduce two SQL generation methods that strike a balance between accuracy and deployment costs. Finally, to tackle the practical challenges posed by functionality deficiencies, we develop an end-to-end workflow that covers the entire BI process, ensuring that SiriusBI delivers a robust and complete set of functionalities. As an independent cloud service in Tencent's data platform, SiriusBI has been applied across Tencent's finance, advertising, and cloud sectors, providing services to dozens of enterprise clients. Experiments on real-world datasets and practical applications in industrial BI scenarios demonstrate the practicality and effectiveness of SiriusBI. Remarkably, SiriusBI achieves remarkable accuracy rates of 97% in SQL generation for Tencent Finance, 89% for Tencent Advertisement, and 91% for Tencent Cloud.
翻译:人工智能技术,特别是大型语言模型(LLMs)的快速发展,正在为商业智能(BI)建立新的范式。尽管已有先驱性工作探索利用LLMs增强BI系统,但我们在实际工业场景部署中识别出以下三个问题:交互限制、性能瓶颈与功能缺陷。本文提出SiriusBI,一个旨在同时解决上述三个问题的端到端商业智能系统。首先,我们设计了一个智能且面向应用的模块——支持查询的多轮对话,以克服当前BI解决方案中普遍存在的交互限制。其次,为缓解因场景迁移导致的性能瓶颈,我们引入了两种在准确性与部署成本间取得平衡的SQL生成方法。最后,为应对功能缺陷带来的实际挑战,我们开发了一个覆盖完整BI流程的端到端工作流,确保SiriusBI提供稳健且完备的功能集。作为腾讯数据平台中的独立云服务,SiriusBI已应用于腾讯金融、广告与云业务板块,为数十家企业客户提供服务。在真实数据集上的实验及工业BI场景中的实际应用均证明了SiriusBI的实用性与有效性。值得注意的是,SiriusBI在SQL生成任务中取得了优异的准确率:腾讯金融场景达97%,腾讯广告场景达89%,腾讯云场景达91%。