Setting up, customising, migrating CRM systems (CiviCRM, Bloomerang, Airtable, Baserow, Google Sheets) to manage relationships with donors, volunteers, or clients.
Designing data storage and management solutions (databases, cloud infra, data modelling, data warehouse) to ensure efficient and secure data handling.
Extracting data from forms or documents, triggering notifications or actions based on certain conditions, automating data validation/quality checks or data cleanup processes to streamline processes and reduce manual effort.
Conducting quantitative analysis (project evaluation, KPIs, fundraising, website analytics) to provide insights for data-driven decision-making.
Communicating insights through dashboards (PowerBI, Tableau, Metabase), reports, and charts to convey complex information effectively and facilitate advocacy efforts.
Applying inferential analysis, A/B testing, regression analysis, and statistical modelling to uncover patterns and make predictions.
Facilitating focus groups, interviews, and content analysis to gather and interpret non-numerical data, providing context and depth to quantitative insights.
Using local LLMs like LLaMa or SaaS like ChatGPT to automate complex tasks or facilitating engagement with your knowledge base.
Deriving value from unstructured text data with sentiment analysis, text classification, or information extraction.
Making predictions and providing insights on fundraising (churn, donation amount, customer behaviour) or your services (areas of highest need, engagement with content).
Efficiently gathering data from various sources with KoBo, Google Forms, etc.
Developing surveys (question formulation, structure, and methodology) that maximise data accuracy and response quality.
Developing short and long-term data strategies, aligning technology with organisational goals, and ensuring data-driven decision-making throughout the charity.
Assisting with negotiations, assessments, and benchmarking when working with external partners to ensure optimal data handling and security.
Facilitating the adoption of data-driven culture, providing training, and supporting organisational change to embrace data-centred practices.
Conducting audits of existing software and systems to identify gaps, risks, and areas for improvement.
Creating comprehensive documentation of data processes, systems, and procedures to ensure knowledge transfer and continuity.
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Building user-friendly and responsive websites or blogs, integrating CRMs or database systems to ensure seamless data flow and functionality.
Implementing CMS solutions to enable easy content updates, user management, and seamless integration with other systems.
Conducting privacy impact assessments, ensuring compliance with relevant data protection regulations, and advising on data handling practices.
Identifying vulnerabilities and risks through comprehensive security audits of systems and networks.
Testing the resilience of systems and networks, identifying areas for improvement.
Providing awareness and training programs to staff to promote a culture of cybersecurity and reduce potential risks.
Developing customised training materials, conducting workshops, and providing ongoing support to staff, ensuring they have the skills to effectively utilise data tools and systems.
Creating comprehensive reports or whitepapers to share insights, best practices, and research findings with stakeholders or the wider community.
Sharing bite-sized insights, updates, or tutorials through blog posts to engage and educate readers on relevant data-related topics.