Garbage In = Garbage Out

Community non-profit organizations play a vital role in addressing the diverse needs of their communities. However, when these organizations are divided into multiple divisions, each operating independently with separate systems, a host of challenges arise. In this brief article, we explore the real-world scenario of a multi-divisional community non-profit organization facing data quality and collaboration issues and discuss strategies for addressing these concerns while emphasizing the importance of data quality.

The Siloed System Dilemma

Imagine a non-profit organization that covers a broad spectrum of services, from Children & Family support to Home Ownership and repair, Economic Opportunity, Transportation, Heat Energy and fuel, and Healthcare. Each division operates in isolation, using its independent Software as a Service (SAAS) solutions. This divisional separation may seem efficient at first glance, but it leads to several pressing issues.

Data Quality Quandary and "Garbage In = Garbage Out"

When each division maintains its data within separate systems, the quality of this data becomes questionable. Inconsistent, incomplete, and outdated data can undermine the organization's ability to serve its community effectively.

As the adage goes, "garbage in, garbage out." In other words, the quality of the outcomes or decisions derived from data is only as good as the quality of the data itself. Therefore, the importance of data quality cannot be overstated.

The Imperative for Change

The situation described above highlights a clear need for a transformative shift in how Community nonprofit organizations handle data management and collaboration. Data quality serves as the anchor of this evolution, driven by the principles of Data Collaboration and Data Quality Assurance.