Understanding data frameworks

IP3 | Assess automatically applies data frameworks to help analyze and present indicators organized in an actionable way. Data frameworks are simply a series of “domains” (you can also think of these as categories), and data indicators that populate those domains. 

Frameworks provide a powerful tool when using data to inform planning efforts to improve community conditions—they translate data into a solution through sorting indicators into categories that are easily tied to action. When examining data to inform an implementation plan, long lists of indicators aren’t as helpful because they fail to shed light on levers you can actually pull to improve your community. IP3 | Assess computes scores for both individual indicators and composite scores for each domain in a framework, allowing users to compare data not traditionally comparable and more easily go from community insight to concerted action.  

For example, you may know that your community has above-average rates of diabetes, with a disproportionate effect on low-income residents, and that your community’s rate of unemployment is also higher than average, but what exactly does that mean for your implementation plan? With  IP3 | Assess, users can compare their community’s relative score for transportation to its relative score for meaningful work and wealth to guide decision-making around which of the two areas to invest in. Next, users can drill down to explore indicators in each domain to identify what, specifically, to focus on and how to prioritize efforts.

Read our blog post to learn more.