Data Analytics for Operations and Performance Monitoring Training Course

Operations run on measurement. Without good analytics, problems surface late, root causes stay hidden, and improvement is guesswork. This course shows how to build an analytics capability that monitors operational performance continuously, explains what is happening, predicts what will happen, and recommends what to do.

Participants move through descriptive and diagnostic analytics, predictive methods for operations, and prescriptive optimization. The course then covers designing KPIs that actually drive behavior and building dashboards for real-time monitoring, closing on the data governance and change management that make analytics stick.

Why this matters

Operational data is usually plentiful and underused, and most performance reporting looks backward without explaining or predicting. Analytics that diagnoses root causes and forecasts problems changes how operations are run. Professionals who can build that capability improve performance measurably, work that extends the evidence-based approach of the Data-Driven Decision Making in Operations course.

What you will be able to do afterwards

By the end of the course, participants will be able to:

Apply descriptive and diagnostic analytics to operational performance.
Use predictive analytics to identify risks before they occur.
Apply prescriptive analytics to optimize resources and scheduling.
Design KPIs aligned to strategy and build effective dashboards.
Implement analytics with sound governance and adoption.

Course outline

Unit 1: Introduction to data analytics in operations

The unit sets out analytics in operations.

The role of data in modern operations.
Analytics maturity models.
Benefits and challenges of data-driven monitoring.
Case examples across industries.

Unit 2: Descriptive and diagnostic analytics

Participants examine what happened and why.

Fundamentals of descriptive analytics.
Identifying trends and root causes.
Variance and performance analysis.
Tools for historical performance review.

Unit 3: Predictive analytics for operations

The unit covers anticipating problems.

Forecasting methods and models.
Applications in supply chain, energy, and manufacturing.
Identifying risks before they occur.
Worked examples with predictive tools.

Unit 4: Prescriptive analytics and optimization

Participants study deciding what to do.

Prescriptive decision-making frameworks.
Resource allocation and scheduling optimization.
Using AI and machine learning for recommendations.
Case studies in operational optimization.

Unit 5: KPI development and performance dashboards

The unit covers measuring what matters.

Designing KPIs aligned to strategy.
Building interactive dashboards.
Real-time monitoring and reporting tools.
Benchmarking best practices in KPI systems.

Unit 6: Implementing analytics in operations

Participants examine making analytics work.

Data governance and quality management.
Integrating analytics with ERP and IoT systems.
Change management for analytics adoption.
Overcoming barriers to implementation.

Unit 7: Sustaining an analytics capability

The closing unit makes analytics last.

Building analytics skills across the team.
Continuous improvement with data feedback.
Future trends in operational analytics.
A roadmap for analytics-driven operations.

How the course is delivered

The course combines structured teaching with cross-industry cases, worked examples, and guided analysis of operational data, KPIs, and dashboards. Participants reason through diagnosing and improving performance using realistic material, so the methods transfer to their own operations. Deep technical skill is not required.

Who should attend

The course suits operations managers and analysts, performance and continuous-improvement staff, supply chain and production professionals, and anyone responsible for operational KPIs. A basic comfort with data is helpful.

About EuroQuest International Training

EuroQuest International Training is an international training provider founded in 2015, with a catalog of more than 1,000 courses delivered to over 15,000 participants. Headquartered in Bratislava, EuroQuest runs courses across a network of European and regional training hubs and focuses on practical, current, and professionally relevant content.

Frequently asked questions

What makes a KPI actually useful?

One that is tied to a strategic objective, that someone can influence, and that triggers action when it moves. The course covers designing KPIs on that basis rather than measuring what happens to be easy to count.

Do I need technical skills?

No. The course focuses on applying analytics and interpreting results, so operations professionals can build and use this capability without being data scientists.

Does it cover integrating with ERP and IoT systems?

Yes. Getting analytics into the systems where work actually happens is a core implementation topic, since insight that lives in a separate report rarely changes operations.

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Register for this course

To reserve a place or request an in-house session for your team, contact EuroQuest International Training and our team will help you confirm dates and details.