Euro-training Center
 Advanced KPI Analysis and Reporting 2 Jun London UK QR Code
Inquiry PDF (38) Like Share   Print

Quality and Operational Auditing

Advanced KPI Analysis and Reporting


REF : A2636 DATES: 2 - 6 Jun 2025 VENUE: London (UK) FEE : 5300 

Overview:

Program Introduction:

This training program is designed to enhance participants' expertise in analyzing, interpreting, and reporting key performance indicators (KPIs). 

Program Objectives:

By the end of this program, participants will be able to:

  • Develop advanced skills in KPI analysis and interpretation.

  • Learn sophisticated data visualization techniques for effective KPI reporting.

  • Understand the strategic implications of KPI data.

  • Gain the ability to identify trends, anomalies, and actionable insights from KPI data.

  • Enhance decision-making capabilities through advanced KPI reporting.

Target Audience:

  • Senior managers.

  • Executives.

  • Performance management professionals.

  • Business intelligence analysts.

  • Strategic planners.

Program Outline:

Unit 1:

Advanced KPI Data Analysis:

  • Statistical Methods for KPI Analysis.

  • Data Mining Techniques.

  • Predictive Analytics.

  • Identifying Key Trends and Patterns.

Unit 2:

KPI Visualization Techniques:

  • Principles of Data Visualization.

  • Advanced Dashboard Design.

  • Visualizing Complex Data Sets.

  • Storytelling with Data.

  • Tools for Advanced Visualization.

Unit 3:

Strategic Implications of KPI Data:

  •  Aligning KPIs with Business Strategy.

  • Identifying Business Opportunities and Risks.

  • Performance Benchmarking.

  • Financial Implications of KPIs.

  • Decision-Making Frameworks.

Unit 4:

Reporting KPI Insights to Stakeholders:

  • Effective KPI Reporting Techniques.

  • Communicating Insights to Executives.

  • Stakeholder Engagement.

  • Continuous Improvement through Reporting.

Unit 5:

Advanced Tools and Techniques for KPI Management:

  • Utilizing Advanced BI Tools.

  • Implementing Real-Time KPI Monitoring.

  • Leveraging Big Data for KPI Analysis.

  • Integrating AI and Machine Learning.

  • Future Trends in KPI Management.