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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/data-driven-process-improvement
课程评论：没有评论
课程名称：数据驱动的流程改进 课程概述：在本课程结束时，学习者将能够在其组织内实施数据驱动的流程改进目标。课程内容包括物联网（IoT）的商业案例、运营与绩效目标对齐的战略重要性、数据收集的最佳实践，以及进行流程映射活动以可视化和分析流程中的物料和信息流。学习者将重点关注商业需求，评估组织应测量的指标，区分不同类型的物联网数据，并使用物联网技术收集关键绩效指标（KPI）。学习者有机会在模拟场景中实施流程改进目标，并考虑如何将所学知识转移到自己的组织背景中。 课程材料包括在线讲座、视频、演示、项目工作、阅读材料和讨论。本课程非常适合希望发展数据驱动思维，获得对提升公司业绩有价值的洞察的个人。学习者若对阅读报告、收集和使用数据以及解读可视化数据有所熟悉，将更有帮助。此课程是数据驱动决策（DDDM）专业化的第一门课程。 课程大纲： 1. 运营与绩效目标：本模块讨论建立数据战略的商业案例，包括在实施前为何需要在战略层面上对齐运营与绩效目标。 2. 数据收集：本模块介绍数据收集的最佳实践。 3. 流程映射：本模块将指导您开发当前状态的流程图，优先识别数据缺口，并制定未来状态的流程图。 4. 项目：数据驱动的流程改进：本模块提供了一个将理论与实践结合的机会，学习者可以运用课程知识解决业务问题。 若想了解此专业化课程的更多信息，请访问：[视频概述](https://www.youtube.com/watch?v=Oi4mmeSWcVc&list=PLQvThJe-IglyYljMrdqwfsDzk56ncfoLx&index=11)。
Name:Operations and Performance Goals
Description:This module covers the business case for establishing a data strategy, including why it is important, from a strategic level, to align your operations and performance goals before you undertake implementation.
Name:Data Collection
Description:This module covers best practices for collecting data.
Name:Process Mapping
Description:This module will prepare you to develop current state process maps, prioritize data gaps, and formulate future state process maps.
Name:Project: Data-Driven Process Improvement
Description:This module provides an opportunity to bridge theory and practice. Learners apply knowledge from this course to solve a business problem.
By the end of this course, learners are empowered to implement data-driven process improvement objectives at their organization. The course covers: the business case for IoT (Internet of Things), the strategic importance of aligning operations and performance goals, best practices for collecting data, and facilitating a process mapping activity to visualize and analyze a process’s flow of materials and information. Learners are prepared to focus efforts around business needs, evaluate what the organization should measure, discern between different types of IoT data and collect key performance indicators (KPIs) using IoT technology. Learners have the opportunity to implement process improvement objectives in a mock scenario and consider how the knowledge can be transferred to their own organizational contexts. Material includes online lectures, videos, demos, project work, readings and discussions. This course is ideal for individuals keen on developing a data-driven mindset that derives powerful insights useful for improving a company’s bottom line. It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations. It is the first course in the Data-Driven Decision Making (DDDM) specialization. To learn more about the specialization, check out a video overview at https://www.youtube.com/watch?v=Oi4mmeSWcVc&list=PLQvThJe-IglyYljMrdqwfsDzk56ncfoLx&index=11.
