Understanding your data is the key to almost any kind of fundraising. While we talked about VC fundraising in a previous post, we want to explore some other forms of fundraising. In this post we’ll talk about charitable fundraising. We will use KgBase to create a graph of donors, projects, and donations in order to understand which donors are right for certain projects. We begin by importing our donor list, their donations, and the projects they supported into KgBase. Our goal is to define what kind of projects they supported - healthcare, education, makerspaces, etc. - and
“Knowledge is a familiarity, awareness, or understanding of someone or something, such as facts, information, descriptions, or skills, which is acquired through experience or education by perceiving, discovering, or learning.” - Wikipedia “Knowledge” is a human-centric term as intelligent beings are inherently capable of understanding and interpreting facts and the relationship between them. The accumulation of this knowledge gained over time makes us able to establish new inferences and relationships between new and historically gained information. With the advent of modern computational technologies, the representation of data(“knowledge” or ”information”) became the utmost priority for researchers and organizations.
We live in an age of data. Companies of all sizes are generating more data than ever, and figuring out how to mine it for valuable business insights has become big business. But even advanced data analytics tools only reveal some of those insights, and few are capable of representing that data visually in a way anyone can understand. Collecting the data is the easy part, but gaining a real understanding of how these various data sets are connected is trickier. Being able to make those connections in an agile way and actually see how ideas, organizations, and