SOCIAL IMPACT DATA MANAGEMENT
Identify incorrect, duplicate, or missing data. Improve the integrity, correctness, and timeliness of your data. Show more accurate impact, make better decisions, and use resources more efficiently.
If your data is scattered and siloed across locations, getting a unified view of your services and clients is difficult and error prone. Combining data residing in different sources and providing you with a unified view of beneficiaries and impact.
Recommendations for data collection and acquisition
Are you collecting the right data? Clean data? Collecting it once? Data collection and standardization is often a first step to better analysis, better insights, and better predictions.
Data inventory and exploration
What data do you have? What data do you need? Identify patterns, outliers, and unexpected features of your data.
Identify incorrect, duplicate, or missing data, and improve the integrity, correctness, and timeliness of your data. Create processes to both share your data to key stakeholders and use outside data for impact.
Telling a story from your data, enhancing decision-making and making your services more impactful. Determine your audience and tailor your data narration for the most impact.
What does your data tell you? Evaluate your data to provide meaningful and impactful change to your social-impact mission. Data insights improve marketing and fundraising, monitoring and implementing your social-impact activities.
PREDICTIVE ANALYTICS FOR BETTER OUTCOMES
Data driven analytics
You need to both prove your impact and improve your impact. Predictive analytics help you provide more targeted social impact services and provide evidence for funders and future-funders.
Data mining and clustering
Find useful patterns, links, and associations within your data. Finding groups of related data such as beneficiaries, services, or funders allow you to target your services and appeals.
Using data to represent your services, your beneficiaries, or your funders can help you be more efficient and measure your impact. Standardizing your data lets you to share it across organizations and applications, reducing costs and enables you to better leverage outside data.