Collaborative Business Analysis (CBA) is a methodology that involves bringing together different stakeholders, including business users, analysts, and technical specialists, to collaboratively analyze data and gain insights into business operations. The primary objective of CBA is to encourage knowledge sharing and collaboration between the different groups involved in business analysis, as this can lead to a more comprehensive understanding of the data and better decision-making. CBA typically involves a range of activities, including data gathering and analysis, brainstorming, problem-solving, decision-making and knowledge sharing. These activities may take place through various channels, such as in-person meetings, virtual collaboration tools or online forums. This paper deals with virtual collaboration tools as an important part of Business Intelligence (BI) platform. Collaborative Business Intelligence (CBI) tools are becoming more user-friendly, accessible, and flexible, allowing users to customize their experience and adapt to their specific needs. The goal of a virtual assistant is to make data exploration more accessible to a wider range of users and to reduce the time and effort required for data analysis. It describes the unified business intelligence semantic model, coupled with a data warehouse and collaborative unit to employ data mining technology. Moreover, we propose a virtual assistant for CBI and a reference model of virtual tools for CBI, which consists of three components: conversational, data exploration and recommendation agents. We believe that the allocation of these three functional tasks allows you to structure the CBI issue and apply relevant and productive models for human-like dialogue, text-to-command transferring, and recommendations simultaneously. The complex approach based on these three points gives the basis for virtual tool for collaboration. CBI encourages people, processes, and technology to enable everyone sharing and leveraging collective expertise, knowledge and data to gain valuable insights for making better decisions. This allows to respond more quickly and effectively to changes in the market or internal operations and improve the progress.

翻译：协作业务分析（CBA）是一种方法论，旨在汇聚包括业务用户、分析师和技术专家在内的不同利益相关者，共同分析数据并洞察业务运营。CBA的主要目标是鼓励参与业务分析的不同群体之间进行知识共享与协作，从而更全面地理解数据并优化决策。CBA通常涉及一系列活动，包括数据收集与分析、头脑风暴、问题解决、决策制定及知识共享，这些活动可通过面对面会议、虚拟协作工具或在线论坛等多种渠道开展。本文聚焦作为商业智能（BI）平台重要组成部分的虚拟协作工具。协作型商业智能（CBI）工具正日益用户友好、易于访问且灵活，允许用户定制体验并适应特定需求。虚拟助手的宗旨是使更广泛的用户群体更易进行数据探索，并减少数据分析所需的时间和精力。本文描述了统一商业智能语义模型，该模型与数据仓库及协作单元相结合，以应用数据挖掘技术。此外，我们提出了一种面向CBI的虚拟助手，以及CBI虚拟工具的参考模型，该模型包含三个组件：对话代理、数据探索代理和推荐代理。我们认为，这三项功能性任务的分配能够结构化CBI问题，并同时应用人类对话、文本到指令转换及推荐的相关高效模型。基于这三个要点的综合方法为协作型虚拟工具奠定了基础。CBI鼓励人员、流程和技术的协同，使每个人能够共享并利用集体专业知识、知识和数据，从而获得宝贵见解以做出更优决策，进而更迅速、有效地响应市场或内部运营的变化，并推动进展。