Proceedings of the International scientific and practical conference ―Oxford International Science Forum‖ (April 17-19, 2026) / Publisher website: www.naukainfo.com. - Oxford, United Kingdom, 2026. - 367 p.

101 Another important reason to study crowdfunding data (CD) analysis tools is the structural diversity of crowdfunding platforms. Models based on rewards, donations, and equity differ in their logic of value exchange, data availability, notions of success, and analytical comparability [7-10]. As a result, tools and methods that work adequately in the context of one platform may not generalize directly to another. The purpose of this article is to provide an overview of CD analysis tools by analyzing the nature and classification of CD, key data collection challenges, limitations of the main platforms, the main analytical conclusions that can be drawn from such data, and the methods suitable for obtaining these conclusions. 2. Related Works The essence of CD . A CD can be defined as a set of digital traces generated during the creation, promotion, maintenance, and completion of a campaign on online funding platforms. These traces include numerical, categorical, textual, behavioral, temporal, and contextual attributes that describe the campaigns, their creators, their audiences, and their results [1, 4-5]. Unlike traditional financial datasets, CD is highly mixed in nature. A single campaign may simultaneously include funding goal, amount raised, sequence of daily contributions, project description, updates from contributors, user comments, category labels, visuals, and platform-specific status indicators [1, 3, 5]. Therefore, CD analysis requires methods that can handle structured and unstructured data in a single analytical pipeline. CD is valuable because it reflects not only the outcome of a campaign, but also the process by which trust, interest, community support, and funding momentum are generated. For this reason, it is suitable for descriptive, diagnostic, prognostic, and risk-based analytical tasks [1-2, 6]. Classification of CD . From a business intelligence perspective, CD can be classified along several following dimensions described below. According to the platform logic, CD can belong to reward-based, donation- based, or share-based ecosystems. Reward-based campaigns typically generate metrics related to project presentation, reward design, supporter engagement, and