Ubiquitous Analytics

数据不断增长。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意义。管理庞大的数据流、探测庞大的存储库和快速提取价值，正成为软件行业增长最快的领域之一。需要即时分析处理的环境的多样性进一步影响了处理大数据的需求，从临时移动设置到分析师团队。泛在分析中提出的研究涉及软件工具和技术的开发，以协助数据分析过程，“随时”和“随时随地”。目标包括a)为各种平台上的意义构建开发新颖的交互式视觉界面，b)促进协作分析，以及(c)引入超越当前测试分析工具有效性方法限制的新颖评估指标。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.