Ubiquitous Analytics

数据正在无情地增长。因此，个人和组织比以往任何时候都更加依赖于从大型数据存储库中提取含义。管理海量数据流、探索海量存储库和快速提取价值正在成为一个重大机遇，导致软件行业中增长最快的行业之一。处理大数据的需要进一步受到需要即时分析处理的环境的多样性的影响，从临时移动环境到分析师团队。拟议的普适分析研究涉及开发软件工具和技术，以协助数据分析过程，随时随地进行。目标包括a)开发新的交互式视觉界面，用于在各种平台上进行意义判断，b)促进协作分析，以及(C)引入新的评估指标，超越目前测试分析工具有效性的方法的限制。这项研究将对我们的数字经济产生重大影响。

Data is growing relentlessly. As such, individuals and organizations are relying more so than ever on extracting meaning from large data repositories. Managing gigantic data flows, probing massive repositories and speedily extracting value is becoming a major opportunity leading to one of the fastest growing sectors in the software industry. The need to grapple with large data is further affected by the diversity of environments in which instant analytical processing is required, ranging from ad-hoc mobile settings to teams of analysts. The proposed research in Ubiquitous Analytics involves the development of software tools and technologies to assist in the data analytics process, 'anytime' and 'anywhere'. Objectives include a) developing novel interactive visual interfaces for sense-making on various platforms, b) facilitating collaborative analytics, and (c) introducing novel evaluation metrics that transcend the limitations of current methods for testing the efficacy of analytic tools. The research is poised to have a significant impact on our digital economy.