Operations Analytics for Managers

Operations management expert Justin Bateh will provide you with the transformative power of data through our unique operations analytics webinar, showcasing how this can make organizations more productive and smarter, and elucidating its role in driving profits or creating a competitive advantage.

What You'll Learn

  • Data analytics fundamentals
  • Productivity and efficiency optimization
  • Supply chain analytics
  • Inventory management analytics
  • Strategic decision-making and forecasting
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Regular price $488.00
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Monday, September 23 - Wednesday, September 25, 2024; 11:00 AM Eastern

3 Sessions scheduled for 60 minutes including question and answer period.

Training Overview

Earn your Operations Analytics for Managers Certification. Elevate your managerial skills in operational analytics techniques.

In 2024, mastering operational analytics becomes crucial for professionals seeking to advance their careers, as it is increasingly considered a strategic priority for organizations. Its pivotal role in driving
profits or establishing a competitive edge highlights its importance in operations.


Operations analytics in operations management empowers managers to navigate the intricacies of leveraging data for strategic decision-making, bridging the gap between supply and demand across diverse business landscapes. Explore cutting-edge techniques for modeling uncertainties, evaluating policy impacts, and making risk-informed choices.

  • Data analytics fundamentals
  • Productivity and efficiency optimization
  • Supply chain analytics
  • Inventory management analytics
  • Strategic decision-making and forecasting

Each session assists managers in utilizing operational analytics for strategic decision-making, providing valuable content across three engaging sessions.

Operations Analytics for Managers

Session 1: Productivity and Efficiency Optimization

  • Data analytics fundamentals
  • Productivity analysis and multifactor productivity
  • Utilization and efficiency
  • Effective vs. design capacity
  • Integration of productivity metrics

Session 2: Supply Chain and Inventory Management Analytics

  • Measuring supply chain performance
  • Weeks of supply and inventory turnover
  • Economic Order Quantity (EOQ) principles
  • Holding, ordering costs, and reorder points
  • Location analysis and capacity planning
  • Profit thresholds and required volume

Session 3: Strategic Decision-Making and Forecasting

  • Factor rating method for decision-making
  • Moving averages for forecasting
  • Weighted moving average techniques
  • Exponential smoothing models
  • Application of forecasting in strategic planning
Recommended Audience
Who Should Attend?
  • Operations managers
  • Supply chain managers
  • Production managers
  • Quality assurance managers
  • Process improvement specialists
  • Project managers
  • Inventory managers
  • Purchasing managers
  • Warehouse managers
  • Manufacturing supervisors
  • Distribution center managers
  • Business process managers
  • Continuous improvement managers
  • Operations consultants
  • Industrial engineers
  • Operations research analysts
  • Production planners
  • Facilities managers
  • Environmental health and safety managers
  • Lean Six Sigma practitioners
  • Human resources managers
  • Sales managers
  • Information technology managers
  • Business development managers

This program has been approved for 3.0 PDCs for the SHRM-CP or SHRM-SCP and general recertification credit hours through the HR Certification Institute.

What's included
Training includes
  • 3.0 HRCI, 3.0 SHRM
  • Certificate of Attendance
  • All resources and training materials

Expert Presenter

Justin Bateh
  • Operations management thought leader
  • Authored two books and contributed 13 articles to prestigious journals
  • Previously served as a Chief Operating Officer (COO), managing a multimillion-dollar budget
  • Garnered cost savings exceeding $15 million by adeptly applying Six Sigma methodologies and a data-centric approach
  • Educated over 8,000 individuals from leading Fortune 500 firms in operations, project management, and data analytics
  • Post-graduate specialization in Applied Statistics

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