I-Corps: Interactive Multimodal Data Platform for Bridging Strategic Planning & Thinking

从选择合适的咖啡到塑造公司的长期愿景，人们不断依赖数据分析和信息综合来优化微观和宏观层面的决策。战略规划和战略思维在帮助人们做出明智和最佳选择方面发挥着关键和相互依赖的作用。为了帮助优化这一过程，这个I-Corps团队开发了一个互动的多模式数据平台，用于连接战略规划思维。它利用数据的空间感知表示，并专注于最大限度地减少偏差的方法，以促进对上下文相关数据点之间关系的理解和识别。该平台能够从多个Vantage位置研究随后的景观，从而促进上下文意识，重点，并最终分析现有数据及其综合，以促进最佳愿景成果。自项目启动以来，该项目吸引了两个大型客户的关注，他们希望优化其组织和项目结构，目前还有两个项目尚未完成。基于这些发展，该团队认为该平台可能具有可行的商业模式的潜力，特别关注希望优化其工作流程并共同探索数据用于规划和愿景的专业人士和组织。拟议的研究将深入了解该平台的商业潜力，并帮助确定吸引客户注意力的关键要素。根据客户反馈，该平台有可能影响我们生活的许多方面，从个人到组织，从短期到长期。特别感兴趣的领域是增强专业网络战略和促进组织的自我反思，重组，优化和愿景。此外，该平台对数据分析和以人为本的综合采用的综合方法可能证明特别有助于执行开放式任务，并可能产生从大数据中提取信息的新战略。最后，如果该团队在这项事业中取得成功，他们的公司将改善弗吉尼亚州西南部的地区经济，该地区的贫困率明显高于州和全国平均水平，平均收入较低。

From choosing the right cup of coffee to shaping a company's long-term vision, people continually rely on data analysis and information synthesis to optimize their decisions on both the micro- and macro-levels. Strategic planning and strategic thinking play critical and mutually co-dependent roles in helping one make informed and optimal choices. To assist in the optimization of this process, this I-Corps team has developed an Interactive Multimodal Data Platform for Bridging Strategic Planning & Thinking. It leverages spatially-aware representation of data and focuses on methodologies that minimize bias to promote comprehension and identification of relationships among contextually related data points. The platform enables a study of the ensuing landscape from multiple vantage points, thereby promoting contextual awareness, focus, and ultimately the analysis of the existing data and its synthesis to promote optimal visioning outcomes. Since its inception, the project has attracted attention from two large-scale customers seeking to optimize their organization and project structure with two additional projects currently pending. Based on these developments the team believes the platform may have a potential for a viable business model, with particular focus on professionals and organizations looking to optimize their workflows and jointly explore the data for planning and visioning purposes.The proposed research will provide insight into the platform's commercial potential as well as help identify key elements that have attracted customer attention. Based on customer feedback, the platform has the potential to affect many aspects of our lives, scaling from individual to organizational, and immediate to long-term. Particular areas of interest are the augmenting professional networking strategies and facilitating organizational self-reflection, restructuring, optimization, and visioning. Furthermore, the platform's integrated approach to data analysis and human-centric synthesis may prove helpful particularly in open-ended tasks and may yield new strategies towards extracting information from the big data. Finally, if the team is successful in this venture, their company will improve the regional economy of southwestern Virginia, which has significantly higher poverty rates and lower average incomes than the state and national averages.