Information Technology
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Data-Driven Process Improvement

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Course Features

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Duration

9 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

9 hours

Course Description

This course will equip learners with the skills to help their company achieve data-driven process improvement goals. This course covers the business case for IoT, the strategic importance of aligning operations with performance goals, best data collection practices, and the facilitation of a process mapping activity that visualizes and analyzes a process's flow of information and materials. The course prepares learners to identify business needs and prioritize efforts. They can also discern the differences between IoT data types and create key performance indicators (KPIs). The mock scenario will allow learners to set up process improvement goals and then to apply the knowledge to their own organizations.

Course Overview

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Alumni Network

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Develop a plan to align operational and performance goals

Devise a data collection strategy and validate data integrity

Prioritize data gaps for root cause analysis

Understand how to create current and future state process maps

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