Utilising Data to Measure Impact Across the Voluntary Sector
voluntary sector Training
To ensure their long-term sustainability, it is essential charities are able to measure and evaluate their impact. Not only does this help them to engage funders, it also maximises the effectiveness of the charity and enhances results of their future endeavours.
The use of data is an invaluable tool when attempting to evidence impact, and as charities collect vast amounts of data, it is highly important they are able to utilise this in order to evidence the impact their causes have.
With the ongoing data revolution transforming established practices like Monitoring and Evaluation across the voluntary sector, charities must engage in innovative approaches to data management and embrace the opportunities of emerging technologies and big data.
Attend Utilising Data to Measure Impact Across the Voluntary Sector and learn the skills to successfully measure and analyse data, enhancing your decision making, and optimising the output of your charities activities.
- Learn about the classic data collection and analysis techniques used and find out how to pick the methods that are most suitable for your organisations needs
- Recognise a variety of data including quality, quantity and resources
- Understand how to leverage big data and data innovation to track project results and influence decision making
- Learn how to embed responsible data practices and GDPR compliance within your daily data collection and analysis practices
- Distinguish critical points of consideration when developing your data governance policies and processes
- Take away a strategy specific to your charity on how best to utilise data for monitoring and self-evaluation
Grazina Raguckaja, Data Scientist and Development Aid Specialist
Grazina is a Data Scientist and Development Aid Specialist focusing on the application of data innovations to enhance the efficacy of development efforts for social good. Her areas of experience and skills focus on Monitoring and Evaluation (M&E)/Results Based Management (RBM), data-driven analytics and reporting, big data,data governance, responsible data, capacity building and organisational change management.
She has over 10 years of accumulated work experience with multilateral organisations (including UN, EU, OSCE), governmental institutions, and various NGOs. She holds number of M&E appointments in Eastern Europe and Sub-Saharan Africa, working with programmes in the field of human rights, democratisation, justice and security sector reform, agriculture and humanitarian interventions.
View the agenda and additional speakers
Trainer’s Welcome & Clarification of Learning Objectives
Understanding the Classic Approaches to Collecting and Utilising Data
- Quantitative, qualitative and mixed data collection and analysis methods
- Discussing the variety of data collection tools available
- Understanding data quality dimensions
- Evaluating credibility and reliability of the available methods, and analysing their feasibility within the context of your organisation
Practical Session: Work in Groups
This session will allow delegates to discuss data collection techniques in small groups and analyse which technique would work best according to their needs, and how best to implement that techniques in the context of self-evaluation and monitoring of performance and impact.
Leveraging Innovation in Data Collection and Analysis
- Understand the transformative power of big data for Monitoring and Evaluation
- Transferability of big data: Lessons-learned from private to public sector and their implementation in voluntary sector
- Tracking outputs quicker – digitalised data collection options
- Understanding how to best collect and analyse data for certain types of outcomes
- Tracking outcomes/behavioural change of beneficiaries employing Sentimental Analysis/Natural Language Processing for enhanced monitoring of outcomes
Presentation of Case Studies
The delegates will be presented with several case studies introducing them to innovative approaches to data collection and analytics.
Responsible Data Concept and Overview of Relevant GDPR Provisions and ePrivacy Regulation
- Responsible data – and why does it matter?
- Overview of critical GDPR provisions while deciding on your data collection and analysis practices;
- What influence will ePrivacy Regulating have on data collection and usage in voluntary sector
- Analysing how does ePrivacy Regulation and GDPR impact charity’s approaches data collection and analysis and what impact do they have on monitoring and evaluation
Innovative and Responsible Data Collection and Analysis: Simulation Exercise
The goal of the exercise is to test and summarise the knowledge delivered during the day. Participants will be divided into groups with four participants assigned as an evaluation committee. Each group will obtain a description of a project and will need to decide on the following:
- Which “classic” data collection and analysis methods to be applied for an assigned project? What are the benefits and the shortcomings of the selected methods? Are there possibilities for results’ triangulation?
- Apart from the conventional approaches, what are the additional data collection and analysis possibilities that could be qualified as “innovative”? What kind of additional results’ evidence can they provide which cannot be provided by the “classic” approaches?
- How and whether the selected data collection and analysis methods follow the responsible data principles?
- What are the potential risks in terms of compliance with GDPR and how these to be addressed?
Feedback, Evaluation & Close
*Programme subject to change