Yours.

 For non-profit organisations, my focus has often been on developing data management strategies that help support their mission and objectives. This often means developing data management processes that prioritise transparency, accountability, and stakeholder engagement. I have also worked with non-profit organizations to implement data analytics solutions that help them measure the impact of their programs and communicate their results to stakeholders. 

 For smaller organisations with limited funding, I have found that it is especially important to focus on data management practices that are both effective and efficient. This often means developing streamlined data management processes that can be managed by a small team or even a single person. I have also found that it is important to leverage cost-effective data management tools and technologies that can help smaller organizations maximize their resources. 

 For mid-sized companies, my focus has often been on developing scalable data management solutions that can support growth and expansion. This often means developing data management strategies that can accommodate increased data volumes and a growing number of users. I have also worked with mid-sized companies to implement data governance frameworks that help ensure data quality and consistency across the organisation. 

 For larger corporations, my focus has often been on managing complex data projects that involve large volumes of data and multiple stakeholders. This requires a deep understanding of project management best practices, as well as a strong ability to communicate and collaborate with a diverse range of teams and stakeholders. I have also worked with larger corporations to develop data governance frameworks and implement data analytics solutions that help drive business value.