Data modelling in practice

The Data Modelling webinar series is a sequence of two live sessions designed for professionals interested in mastering data modelling concepts and techniques. These webinars form a comprehensive course that will provide a deep understanding of data modelling, including creating and utilizing data models within ActivityInfo using Miro, and adopting best practices for effective data modelling.

The series is addressed to entry to intermediate level professionals, and it is highly recommended to attend or watch the recordings of both sessions in consecutive order to fully benefit from the course.

About this session

In this session, we revisit the foundational concepts of data modelling and provide practical insights into creating and using data models within ActivityInfo, leveraging the Miro platform.

We will also discuss best practices to ensure the effectiveness and reliability of your data models by considering a checklist for Identifying datasets/data flows and understanding objectives of your data model.

In summary, we explore:

Creating and Using Data Models in ActivityInfo Using Miro:

  • Checklist for Identifying datasets/data flows and understanding objectives of your data model.
  • Step-by-step guide on developing data models within ActivityInfo
  • Hands-on demonstration using Miro for visualization and management

Best Practices for Effective Data Modelling:

  • Strategies for optimizing data models for accuracy and efficiency
  • Tips to ensure your data models meet organizational needs
  • Real-life examples and case studies from organizations using ActivityInfo

Is this Webinar series for me?

  • Are you working in complex information systems or environments where data modeling plays a critical role?
  • Are you looking for guidance on best practices for data modelling?
  • Do you wish to ask questions about these topics?

Then, join our webinar!

List of sessions

Data modelling series:

  1. Fundamentals of data modelling in humanitarian and development contexts
  2. Data Modelling in practice (current)

About the Trainer

Victoria Manya has a diverse background and extensive expertise in data-driven impact, project evaluation, and organizational learning. She holds a Master's degree in local development strategies from Erasmus University in the Netherlands and is currently pursuing a Ph.D. at the African Studies Center at Leiden University. With over ten years of experience, Victoria has collaborated with NGOs, law firms, SaaS companies, tech-enabled startups, higher institutions, and governments across three continents, specializing in research, policy, strategy, knowledge valorization, evaluation, customer education, and learning for development. Her previous roles as a knowledge valorization manager at the INCLUDE platform and as an Organizational Learning Advisor at Sthrive B.V. involved delivering high- quality M&E reports, trainings, ensuring practical knowledge management, and moderating learning platforms, respectively. Today, as a Customer Education Specialist at ActivityInfo, Victoria leverages her experience and understanding of data leverage to assist customers in successfully deploying ActivityInfo.

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