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Data-Driven Process Improvement

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.

Created by University at Buffalo


What you’ll learn

In this learning opportunity you will improve the compentencies required from companies these days. The most in demand technique from the educational resource that is commonly requested from employers is Data Analysis. You will also hear about Decision Making Skills, a trait often requested in job advertisements.

Who will benefit?

Contrasting content from this learning opportunity with nearly 10,000 data-related job maps, we find that those in or pursuing Data Analyst roles would benefit the most.