Introduction

In today’s dynamic enterprise landscape, optimizing ERP (Enterprise Resource Planning) systems is critical for operational efficiency, data accuracy, and strategic decision-making. Regression analysis in ERP enables organizations to predict trends, identify anomalies, and enhance process automation, ensuring that system modifications do not disrupt business continuity. Regression in ERP Training Course equips professionals with hands-on expertise in leveraging regression techniques to monitor ERP performance, detect risks, and implement proactive solutions. Through advanced analytics, predictive modeling, and real-world case studies, participants will gain the skills to improve system reliability, streamline workflows, and maximize ROI from ERP investments.

Designed for business analysts, ERP consultants, IT professionals, and decision-makers, this course emphasizes practical application, data-driven insights, and industry best practices. Participants will explore regression frameworks, test automation, and performance benchmarking to drive actionable insights and optimize ERP functionalities. By combining theory, applied exercises, and case studies, this training ensures mastery of regression in ERP, preparing participants to anticipate system challenges, minimize downtime, and support strategic enterprise growth. Whether implementing SAP, Oracle, or Microsoft Dynamics, attendees will gain a competitive edge through predictive analytics, robust testing, and data-centric ERP management.

Programme Curriculum

Regression in ERP Training Course

Introduction

Course Duration

5 days

Course Objectives

Master regression analysis techniques for ERP systems
Enhance ERP system reliability through predictive modeling
Identify performance anomalies and minimize downtime
Implement data-driven decision-making in ERP environments
Optimize workflows and automation using regression testing
Gain expertise in ERP analytics and KPI benchmarking
Leverage real-world case studies to solve ERP challenges
Improve risk management with proactive ERP insights
Apply regression in SAP, Oracle, and Microsoft Dynamics
Strengthen testing strategies for ERP upgrades and patches
Integrate AI and ML tools for advanced ERP regression analysis
Streamline ERP processes using automation frameworks
Build actionable dashboards for performance monitoring

Target Audience

ERP Consultants
Business Analysts
IT Professionals
Data Analysts
Quality Assurance Engineers
System Administrators
Project Managers in ERP Implementation
Decision-Makers & Strategy Leaders

Course Modules

Module 1: Introduction to ERP Regression

Fundamentals of ERP systems and architecture
Understanding regression testing in ERP context
Types of regression analysis: linear, multiple, logistic
Importance of regression in system updates and patches
Case Study: Regression testing in SAP S/4HANA upgrade

Module 2: Data Collection and Preprocessing

Identifying relevant ERP datasets for regression
Data cleaning, normalization, and transformation
Handling missing values and outliers in ERP data
Feature selection for accurate predictions
Case Study: Oracle ERP data preprocessing for regression

Module 3: Regression Models and Techniques

Linear and multiple regression for ERP forecasting
Logistic regression for process failure prediction
Time-series regression for ERP performance monitoring
Model evaluation metrics: RMSE, MAE, R²
Case Study: Microsoft Dynamics regression model for sales forecasting

Module 4: Automation and ERP Regression Testing

Setting up automated regression test scripts
ERP test scenarios for functional and non-functional checks
Integration with CI/CD pipelines for ERP systems
Reporting and logging errors systematically
Case Study: Automated regression testing in SAP Fiori apps

Module 5: Advanced Predictive Analytics in ERP

Predictive modeling for process optimization
Using ML algorithms to enhance regression insights
Forecasting demand, inventory, and resource allocation
Scenario simulation and sensitivity analysis
Case Study: Predictive analytics in ERP supply chain module

Module 6: ERP Performance Monitoring and KPI Tracking

Key ERP performance indicators for regression analysis
Dashboard creation and visualization tools
Alert systems for anomaly detection
Continuous performance monitoring techniques
Case Study: KPI monitoring in Oracle Cloud ERP

Module 7: Risk Management and Troubleshooting

Identifying high-risk ERP modules for regression failure
Root cause analysis of system performance issues
Mitigation strategies using regression insights
Documentation and knowledge base management
Case Study: Risk assessment in SAP module upgrade

Module 8: Capstone Project & Real-World Case Studies

End-to-end regression analysis project in ERP
Applying regression models to live datasets
Presentation of findings and actionable recommendations
Peer review and mentor feedback sessions
Case Study: Complete regression audit in a multi-module ERP system

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000