منابع مشابه
Data in Action: Data-Driven Decision Making in U.S. Manufacturing
Manufacturing in America has become significantly more data-intensive. We investigate the adoption, performance effects and organizational complementarities of data-driven decision making (DDD) in the U.S. Using data collected by the Census Bureau for 2005 and 2010, we observe the extent to which manufacturing firms track and use data to guide decision making, as well as their investments in in...
متن کاملData-driven multiobjective decision-making in cash management
Resum The volume and availability of business and finance data may continue to increase in the near future. However, the utility of such data is by no means straightforward due to a lack of integration between data-driven techniques and usual decision-making processes. This paper aims to integrate data with multiobjective decision-making in cash management by means of machine learning. To this ...
متن کاملThe Case for Personal Data-Driven Decision Making
Data-driven decision making (D3M) has shown great promise in professional pursuits such as business and government. Here, policymakers collect and analyze data to make their operations more efficient and equitable. Progress in bringing the benefits of D3M to everyday life has been slow. For example, a student asks, “If I pursue an undergraduate degree at this university, what are my expected li...
متن کاملData-driven multiobjective decision-making in cash management
Resum The volume and availability of business and finance data may continue to increase in the near future. However, the utility of such data is by no means straightforward due to a lack of integration between data-driven techniques and usual decision-making processes. This paper aims to integrate data with multiobjective decision-making in cash management by means of machine learning. To this ...
متن کاملData-driven multiobjective decision-making in cash management
Resum The volume and availability of business and finance data may continue to increase in the near future. However, the utility of such data is by no means straightforward due to a lack of integration between data-driven techniques and usual decision-making processes. This paper aims to integrate data with multiobjective decision-making in cash management by means of machine learning. To this ...
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ژورنال
عنوان ژورنال: Science
سال: 2014
ISSN: 0036-8075,1095-9203
DOI: 10.1126/science.344.6179.11-a