By the end of this course, learners are prepared to identify and test the best solutions for improving performance and integrating concepts from operational excellence methodologies for optimum data-driven decision making. The course begins with a focus on deciphering the root cause of problems through a variety of tools before determining and assessing best-fit solutions. Learners discover how to apply ISO, Lean and Six Sigma in the pursuit of aligning organizational operations data with performance standards. Hospitality, manufacturing and e-commerce case studies help illustrate how to build data literacy while ensuring privacy and data ethics measures are in place.
提供方
纽约州立大学布法罗分校
纽约州立大学纽约州立大学
Data-Driven Decision Making (DDDM) 专项课程纽约州立大学布法罗分校课程信息
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第 3 门课程（共 3 门）
初级
It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations.
完成时间大约为11 小时
英语（English）
字幕：英语（English）
您将学到的内容有
Describe techniques to Identify root causes of variation and tools for evaluating potential solutions
Apply the Design of Experiments (DOE) technique to test improvement options
Evaluate, for a specific organization, which operational excellence methodology provides the maximum value
Explain how to foster a culture of data literacy
您将获得的技能
- ISO 9001: 2015
- Lean
- Design of Experiments (DOE)
- Data-Driven Decision Making
- Six Sigma
可灵活调整截止日期
根据您的日程表重置截止日期。
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 3 门课程（共 3 门）
初级
It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations.
完成时间大约为11 小时
英语（English）
字幕：英语（English）
提供方
纽约州立大学布法罗分校
The University at Buffalo (UB) is a premier, research-intensive public university and the largest, most comprehensive institution of the State University of New York (SUNY) system. UB offers more than 100 undergraduate degrees and nearly 300 graduate and professional programs.
纽约州立大学纽约州立大学
The State University of New York, with 64 unique institutions, is the largest comprehensive system of higher education in the United States. Educating nearly 468,000 students in more than 7,500 degree and certificate programs both on campus and online, SUNY has nearly 3 million alumni around the globe.
授课大纲 - 您将从这门课程中学到什么
完成时间为 2 小时
Applying Analytics to Implement Solutions
This module guides learners through identifying the root causes for variation, and testing possible solutions.
完成时间为 2 小时
4 个视频 （总计 37 分钟）, 5 个阅读材料, 1 个测验
完成时间为 3 小时
Data-Driven Operational Excellence
This module prepares you to align an organization’s operations data to its performance standards to achieve operational excellence.
完成时间为 3 小时
5 个视频 （总计 31 分钟）, 4 个阅读材料, 1 个测验
完成时间为 4 小时
Applying Data-Driven Decisions
This module offers case examples of data-driven decision making in practice, and discusses how corporate culture relates to the success of such initiatives.
完成时间为 4 小时
6 个视频 （总计 28 分钟）, 5 个阅读材料, 1 个测验
完成时间为 3 小时
Project: Applied Analytics and Data for Decision Making
This module provides an opportunity to bridge theory and practice. Learners apply knowledge from this course to solve a business problem.
完成时间为 3 小时
1 个视频 （总计 1 分钟）, 1 个阅读材料, 1 个测验
审阅
- 5 stars65.90%
- 4 stars25%
- 3 stars2.27%
- 2 stars2.27%
- 1 star4.54%
来自APPLIED ANALYTICS AND DATA FOR DECISION MAKING的热门评论
由 RF 提供Oct 10, 2021
Bastante útil, se aprenden diversas estrategias y/o prácticas para mejorar procesos en cualquier organización
由 NK 提供Oct 23, 2021
I do recommend it for all data owners to look into area of improvement and understand how to close gabs using the right techniques
由 TA 提供Oct 23, 2021
I think the course is excellent but we need more practics or resources for practics.
关于 Data-Driven Decision Making (DDDM) 专项课程
This specialization explains why it is important to leverage data when contemplating organizational choices, and supplies the tools at the heart of data-driven decision making (DDDM). The three-course series explores how technology enables the collection and organization of unprecedented amounts of data, and how to dissect that data to gain powerful insights. Course topics include analyzing process maps for driving improvement, software for maximizing data analysis, statistical process control, creating metrics dashboards and translating data stories, and the connection between operations technology metrics and organizational performance. Content touches on leadership’s role in instituting an internet of things (IoT) strategy in manufacturing and service environments. Lessons feature case studies highlighting ROI achieved through DDDM, and the cultural changes required for success.
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