Developing Digital Dashboards for Quality Indicators
With the increasing reliance on data-driven decision-making, organizations now recognize the power of quality indicators as a foundation for strategic improvement and operational excellence.
- 5training days
- 5modules
- 10sessions
- 30topics
About the programme
Course Overview
With the increasing reliance on data-driven decision-making, organizations now recognize the power of quality indicators as a foundation for strategic improvement and operational excellence.
However, managing and interpreting these indicators requires more than raw numbers—it calls for dynamic, interactive digital dashboards that can present real-time insights in a visually meaningful way.
This workshop is designed to introduce participants to the principles and technologies behind building effective digital dashboards tailored for monitoring quality indicators.
Attendees will explore tools such as business intelligence and data visualization tools, learn to collect and prepare data, and ultimately design performance dashboards that translate complex metrics into actionable insights.
By combining technical skills with visual intelligence, this hands-on experience empowers professionals to create custom digital interfaces that enhance transparency, streamline reporting, and foster a culture of continuous improvement across departments.
Expected Learning Outcomes
Understand key concepts of quality indicators and visual representation
Learn to design digital dashboards using data analysis tools
Develop interactive models linked to real organizational improvements
Use data for decision-making and performance correction
Promote institutional awareness of quality measurement and monitoring
Who Should Attend
Quality assurance and institutional development officers
Data analysts and performance monitoring staff
Operational and production department managers
Digital transformation and project management digital collaboration tools
Strategic planning and reporting professionals
Information system developers and dashboard creators
Course Modules
Open any module to see its sessions and topics.
01Introduction to Quality Indicators
Session 1Definitions and Types of Indicators
- Leading vs. lagging indicators
- International standards and frameworks
- Choosing indicators based on organizational needs
Session 2Data Collection and Preparation
- Internal and external data sources
- Data cleaning and processing
- Building basic quality indicator databases
02Tools for Digital Interface Development
Session 1Overview of Leading Tools (business intelligence tools, data visualization tools…)
- Features and use cases for each tool
- Connecting tools with databases
- Initial dashboard design
Session 2Modeling Indicators Inside Dashboards
- Selecting suitable visualizations
- Configuring real-time updates and interactions
- Hands-on dashboard demonstration
03Smart Visual Design
Session 1Principles of Effective Data Visualization
- Color coding and visual focus
- Emphasizing high-priority indicators
- Avoiding clutter and duplication
Session 2Customization for End Users
- Setting user permissions and views
- Creating department-specific dashboards
- Integrating alert and early warning indicators
04Linking Indicators to Performance Improvement
Session 1Turning Metrics into Actionable Decisions
- Aligning indicators with improvement plans
- Trend and deviation analysis
- Generating reports directly from dashboards
Session 2Measuring the Impact of Quality Monitoring
- Comparing performance before and after dashboard implementation
- Case studies from successful institutions
- Applying a real-time tracking model
05Sustainability and Future Development
Session 1Dashboard Expansion and Updates
- Adding new indicators and updating data sources
- Managing lifecycle of digital dashboards
- Developing mobile-compatible versions
Session 2Strategic Integration with Organizational Goals
- Embedding dashboards in executive reviews
- Supporting leadership through visual data
- Fostering a data-driven institutional culture
Complete your registration
We will contact you within one business day to confirm.