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Implementing Data-Driven Workflows and Processes

Implementing Data-Driven Workflows and Processes

Course Overview

This is the hands-on, practical course that ties everything together. You will learn how to assess your current workflows, identify where data can drive better outcomes, and implement new processes that harness operational intelligence. From mapping existing processes to designing new data-driven workflows, this course covers the full implementation lifecycle.

You will work through real-world scenarios in manufacturing, retail, distribution and construction, learning how to update legacy processes, integrate new software with existing systems, and manage the human side of process change.

What You Will Learn

  • How to audit and map your current operational workflows
  • Identifying data-driven opportunities in existing processes
  • Designing new workflows that combine software automation with human expertise
  • Integrating new systems with your existing ERP, WMS, SCADA and IoT infrastructure
  • Change management: bringing your team along on the journey
  • Measuring the impact of new workflows on operational KPIs
  • Continuous improvement: refining workflows after implementation

Who Should Take This Course

Operations managers, project leaders, process improvement specialists, and anyone responsible for updating or implementing new operational workflows and software.

Prerequisites

Completion of Course 1: Foundations of Operational Intelligence. Courses 2 and 3 are recommended.

Responsible Charles
Last Update 10/07/2026
Completion Time 1 hour 30 minutes
Members 1
  • Assessing Your Current State
    2Lessons · 24 mins
    • Auditing Your Operational Workflows
    • Identifying Data-Driven Opportunities
  • Designing New Workflows
    2Lessons · 24 mins
    • Principles of Data-Driven Workflow Design
    • Integrating with Existing Systems
  • Change Management
    4Lessons · 42 mins
    • Bringing Your Team Along
    • Measuring Impact and Continuous Improvement
    • Real-World Implementation Case Studies
    • Course 4 Summary