Strategies to Strengthen Data-Driven Decision Making
| 项目名称： | Strategies to Strengthen Data-Driven Decision Making |
| 摘要： | State DOTs are seeking to derive more decisions from data, improve real time performance management, and integrate advancements in data science. While data analytics, automation and machine learning are increasing, current data architectures are fragmented and costly, adding complexity and delay for information system development and management. This makes it difficult to maintain alignment with business needs. Business and enterprise architectures are used by some state departments of transportation as well as many other public and private organizations. Examples of these architectures include the Zachman Framework for Enterprise Architectures, The Open Group Architecture Framework (TOGAF), and the Federal Enterprise Architecture (FEA). The goal of this project is to identify business architectures that support and optimize faster decisions, data relevance and usability across the organization, and current business needs and responsive to evolving needs. The objective of this project is to explore business and enterprise architectures for their potential to improve the alignment of data with business needs and provide timely support for changes in business strategies. |
| 状态： | Proposed |
| 资金： | 300000 |
| 资助组织： | National Cooperative Highway Research Program；American Association of State Highway and Transportation Officials (AASHTO)；Federal Highway Administration |
| 项目负责人： | Hartell, Ann M |
| 开始时间： | 20220217 |
| 主题领域： | Data and Information Technology；Planning and Forecasting；Transportation (General) |
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