Introduction:

Data storytelling is the art of using data visualizations to convey meaningful insights in a way that is both compelling and easily understandable. QlikView is a powerful business intelligence tool that enables users to create dynamic, interactive dashboards and reports. This 5-day course will guide participants through the essentials of data storytelling using QlikView, from data visualization basics to advanced techniques for building intuitive and interactive reports that communicate the story behind the data. By the end of the course, participants will be able to leverage QlikView to create interactive data stories that not only inform but also engage stakeholders and support data-driven decision-making.

Objectives:

By the end of this course, participants will:

• Understand the fundamentals of QlikView and its data visualization capabilities.
• Learn to design interactive, dynamic dashboards that highlight key business insights.
• Master advanced visualization techniques and data manipulation tools in QlikView.
• Gain hands-on experience with creating compelling data stories using QlikView’s features.
• Develop skills to present data in a narrative format, guiding audiences through complex datasets.
• Learn how to share and collaborate on QlikView reports and dashboards effectively.

Who Should Attend:

This course is ideal for:

• Business intelligence analysts and professionals who want to enhance their data visualization and storytelling skills.
• Data analysts and managers who want to communicate insights clearly and effectively using QlikView.
• IT professionals and developers interested in integrating QlikView visualizations into business applications.
• Business decision-makers who need to understand data and communicate results to stakeholders.
• Anyone interested in learning how to create engaging, data-driven stories using QlikView.

Day 1: Introduction to QlikView and Data Visualization Principles

• Morning:
  • Overview of QlikView:
    • Understanding the QlikView architecture: QlikView Desktop vs. QlikView Server.
    • Introduction to QlikView’s associative model and how it enables data exploration.
    • Navigating the QlikView interface: workspace, sheets, and objects.
  • Introduction to Data Visualization:
    • Principles of effective data visualization: clarity, simplicity, and storytelling.
    • Types of visualizations: bar charts, pie charts, line graphs, and more.
    • Understanding when and how to use different chart types based on data.
• Afternoon:
  • Creating Basic Visualizations in QlikView:
    • Connecting to data sources in QlikView (Excel, databases, web data).
    • Loading and structuring data within QlikView.
    • Building your first interactive dashboard with basic visualizations.
  • Hands-on Session:
    • Create a simple dashboard using various visualization objects in QlikView.

Day 2: Data Exploration and Advanced Visualization Techniques

• Morning:
  • Advanced Visualizations in QlikView:
    • Creating more advanced visualizations: scatter plots, tree maps, and KPI objects.
    • Using multi-dimensional charts (combo charts, pie charts with drill-down).
    • Integrating dynamic filters and slicers to allow users to explore data interactively.
  • Designing for Impact:
    • Best practices for choosing the right visualization for different data types.
    • Enhancing your visualizations with color schemes, themes, and conditional formatting.
    • Crafting dashboards that are both informative and visually appealing.
• Afternoon:
  • Data Exploration with QlikView:
    • Using QlikView’s associative search feature to explore data dynamically.
    • Creating interactive data filters for drill-down analysis.
    • Implementing set analysis to segment and compare data in your visualizations.
  • Hands-on Session:
    • Build an interactive data exploration dashboard using advanced visualizations and filters.

Day 3: Data Storytelling with QlikView

• Morning:
  • Principles of Data Storytelling:
    • Defining data storytelling: how to make data relatable and actionable.
    • The structure of a compelling data story: context, insights, action.
    • Using visualizations to convey a narrative: guiding users through the data.
  • Creating Data Stories in QlikView:
    • Structuring a dashboard to tell a clear story.
    • Using storytelling techniques: sequential views, focused insights, and annotations.
    • Applying visual hierarchies to guide the audience’s attention to key findings.
• Afternoon:
  • Interactivity in Data Stories:
    • Using QlikView’s interactivity features to allow users to explore the data.
    • Designing dashboards with interactive filters and dynamic views.
    • Creating storytelling sequences that prompt users to engage with different aspects of the data.
  • Hands-on Session:
    • Develop a data story using QlikView: structure a dashboard to communicate insights effectively.

Day 4: Enhancing Reports and Dashboards with Advanced Features

• Morning:
  • Advanced Dashboards and Layouts:
    • Working with multi-sheet applications and layouts.
    • Creating custom objects for advanced interactivity.
    • Implementing extensions and advanced visual objects in QlikView.
  • Data Modeling and Calculation in QlikView:
    • Understanding QlikView’s data model: dimensions, facts, and key fields.
    • Using calculated fields and expressions to add custom metrics to visualizations.
    • Optimizing data models for performance and scalability.
• Afternoon:
  • User Experience and Navigation:
    • Best practices for designing user-friendly navigation within QlikView applications.
    • Implementing advanced navigation options: drill-downs, bookmarks, and dynamic charts.
    • Creating a seamless user experience by minimizing clutter and maximizing usability.
  • Hands-on Session:
    • Build an advanced dashboard that incorporates dynamic features and customized calculations.

Day 5: Sharing, Collaboration, and Best Practices for Reporting

• Morning:
  • Sharing and Collaboration in QlikView:
    • Publishing QlikView documents to QlikView Server for sharing and collaboration.
    • Managing user access and security in QlikView: section access and document security.
    • Distributing QlikView reports via QlikView AccessPoint and mobile devices.
  • Best Practices for Reporting:
    • Formatting and styling reports to ensure clarity and consistency.
    • Designing reports for print, PDF, and online presentation.
    • Best practices for presenting data insights to executives and stakeholders.
• Afternoon:
  • QlikView Mobile and Cloud Integration:
    • Introduction to QlikView’s mobile capabilities for on-the-go reporting.
    • Exploring cloud-based reporting and integration options with Qlik Cloud.
    • Syncing and sharing QlikView apps across different platforms.
  • Final Hands-On Project and Group Discussion:
    • Work on a final project where participants create a complete data storytelling dashboard.
    • Peer review and feedback on the final projects.

Key Takeaways:

• Mastery of QlikView for creating interactive, dynamic dashboards and reports.
• In-depth understanding of data storytelling principles and techniques.
• Ability to design engaging, data-driven narratives that drive business insights.
• Proficiency in building advanced visualizations and applying advanced features like set analysis and calculated fields.
• Knowledge of sharing and collaborating on QlikView reports in a secure and efficient manner.
• Experience in building dashboards that cater to both desktop and mobile users.