Foundations and Trusts

Foundations and trusts play a pivotal role in driving systemic change through strategic philanthropy. We partner with them to design data-driven funding strategies, foster cross-sector collaboration, and optimize resource allocation for maximum impact. By aligning vision with execution, we help transform philanthropic investments into measurable, sustainable outcomes that address pressing social challenges.

  • Financial data is often large, complex, and disparate. Sowen applies careful planning and execution, and helps organizations with this significant undertaking.

    We work to identify, create, implement and measure data and technology solutions that identify signals in the noise, and create consistent reporting, modeling, and attribution solutions that deliver on organizational goals and objectives.

  • Financial data is often extremely sensitive, and must be carefully protected. Regulations such as GDPR and CCPA are constantly evolving, and have made data privacy a priority for both companies and consumers. Sowen works with these institutions to ensure that they not only comply, but are ahead of standard regulations, and are applying the most up to date data protection, privacy and security tools and processes.

  • Human capital is one of, if not THE most meaningful determinant of long term organizational success. Studies repeatedly show that good salaries are not enough to attract, keep, and grow innovative, productive and inspired talent.

    We help companies understand and execute on initiatives that create healthier, better working environments. These, in turn, tie directly to higher evaluations, increased efficiency, investability, lower churn, talent acquisition, and brand affinity.

  • Artificial Intelligence will undoubtedly have a massive impact on our lives, and on the structures, operations, and priorities of every sector and industry.

    We help executives and teams sift through the noise, and identify the elements of a very busy ecosystem that specifically relates to their world and drive tangible, measurable results that matter.

  • Financial data is complex and requires skilled professionals to analyze and interpret it. Data analysis tools, such as machine learning and artificial intelligence can help, but these tools require a high level of expertise to be use effectively.

  • By nature, financial sector organizations are protective of their data.

    We work with financial sector teams to make sure this does not turn into internal silos of bifurcated information, and that data can easily flow between parts of the organization while maintaining privacy, compliance, and security protocols.