voluntary sector Training
1179

Enhancing the Use of Data to Measure a Charities Impact

voluntary sector Training

09:15 - 16:30

Wednesday 24 April 2019

Central London

For a limited time we are offering 10% discounts for the first 8 delegates on the course. To take advantage of this discount, enter code SEF6HG6 when completing your booking

 

It is essential for long-term sustainability that charities measure and evaluate their impact, not only to engage funders, but also to maximise effectiveness and enhance results of their future interventions. With vast amounts of data used and available, it is imperative that charities are able to effectively utilise the data they collect in order to evidence the impact of their causes.

The effective use of data can be a very powerful tool when collected and analysed correctly. In particular, the ongoing data revolution is transforming the established practices of Monitoring and Evaluation (M&E) within the sector, calling charities to engage in innovative approaches towards data management and embrace opportunities provided by emerging technologies and big data.  Apart from evidence-related function, data management has also implications on the well-being of beneficiaries, demanding charities to manage M&E data in a responsible manner.

To that end Inside Government is hosting an interactive training course on Enhancing the Use of Data to Measure a Charities Impact. This hands-on course will enable you to successfully measure and analyse the data to inform enhanced decision making and optimum output for your charities activities.

Learning Objectives:
  • Learn about the classic data collection and analysis methods pursued within the voluntary sector, and to receive guidance on selecting the ones that are the most suitable for your organization/ intervention
  • Gain familiarity with variety of data including quality, quantity and resources
  • Understand how to leverage big data and data innovation for better tracking of project results and decision making
  • Learn about the responsible data concept and key provisions of the GDPR, as well as how these can be embedded into daily data collection and analysis practices pursued by charities
  • Obtain an overview about the critical points of consideration while developing data governance policy and processes
  • Come away with a strategy specific to your charity on how best to utilise data for monitoring and self-evaluation
Confirmed:

Grazina Raguckaja, Data Scientist and Development Aid Specialist

Grazina is Data Scientist and Development Aid Specialist focusing on 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 working with multilateral organizations (including UN, EU, OSCE), governmental institutions, and various NGOs. She hold number of M&E appointments in Eastern Europe and Sub-Saharan Africa, working with programmes in the field of human rights, democratization, justice and security sector reform, agriculture and humanitarian interventions.

View the agenda and additional speakers

09:15

Registration


09:45

Trainer’s Welcome & Clarification of Learning Objectives


10:00

Collecting and Utilising Data Across the Voluntary Sector: Classic Approaches

  • Quantitative, qualitative and mixed data collection and analysis methods
  • Discussing the variety of data collection tools
  • Understanding data quality dimensions
  • Evaluating credibility and reliability of the available methods, and analysing their feasibility within the context of your organisation


11:00

Morning Break


11:15

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. 

 


12:15

Lunch


13:00

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


13:45

Presentation of Case Studies

The delegates will be presented with several case studies introducing them to innovative approaches to data collection and analytics.


14:30

Afternoon Break


14:45

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


15:30

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?


16:15

Feedback, Evaluation & Close

*Programme subject to change


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In-house Option

We can also run this course for you, at your organisation, at a time and date that suits you. Please email [email protected] for more info.