Social Enterprises have been prominent about building custom solutions to manage their internal data. Mission-driven organizations have the past couple of years adopted social impact measurement technology to streamline their internal processes such as community engagement, and donor and grant management. Cloud-based platforms such as Salesforce and Microsoft are playing a key role in this development. However, they seem to be lacking components to understand beneficiary and Impact data.Currently, technology for social good is not able to streamline beneficiary and program data aggregation when the data is collected from different locations and sources. In addition, there is no alignment nor collaboration between funders and organizations on the field to achieve real change. To facilitate this alignment, there is a need for adequate technology.
Why choose SaaS as the Social Impact Measurement Initiative?
With a system that enables to plot data into the same platform, this will improve collaboration and the ecosystem is able to find holes in the life-cycle and improve operations.
Track Improvements Over Time
When all the data is in the same platform, it is easier to track improvements over time. This also makes it easier to aggregate and visualize the progress as well as it allows for intervention when something is not working.
A feedback loop is a structure where the output of a process influences the input of that process. SaaS platforms allows to support the concept of longitudinal data which can lead to immediate improvements and better outcomes.
Downstream Data Capacity
Access to a common platform will not only make it easier to manage data, but also increase transparency and accountability. This will in turn help the organization itself as well as Impact investors.
Automated Data Collection
Organizations should develop a portfolio-based approach to better understand the correlation between their investments and social and/or environmental outcome. With both financial and social impact data in one platform, the data is easier to manage, aggregate and visualize.