Infrastructure Gap - Presented at The Chicago School of Data Days
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On September 19th and 20th, Smart Chicago Collaborative hosted the Chicago School of Data Days conference focusing on bridging conversations and networks to bring greater clarity of data access, collaborations, and impact. This presentation was presented as part of the Infrastructure Gap session. I focused on the core sector need of accessing and defining data across an organization and the sector at large.
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Infrastructure Gap - Presented at The Chicago School of Data Days
- 1. INFRASTRUCTURE GAP SESSION 1.1
- 2. OVERVIEW OF DONORFUSE DonorFuse is a social enterprise with a mission to strengthen nonprofits by leveraging technology and growing organizational impact
- 4. FUNCTIONS OF DATA Decision Making Donor Relations Storytelling Support Strategies Reporting Awareness
- 5. DETERMINING THE PURPOSEWhy do you need the data? You have access to various, wide- spread data sets –Internally & Externally. Your first step is to determine the “Why?” Fundraising Appeal Community Outreach/Advocacy Market Research Public Relations Strategy/Capacity Development Funder Request
- 6. WHAT SOURCES ARE AVAILABLE? EXTERNAL OUTLETS Data.Gov IRIS Urban.Org INTERNAL SYSTEMS Financial Data CRM/Donor Data Program Data Fundraising Data
- 7. ORGANIZATIONAL ALIGNMENTMcKinsey 7-S Model Strategy:the plan devised to maintain and build competitive advantage over the competition. Structure:the way the organization is structured and who reports to whom.’? Systems:the daily activities and procedures that staff members engage in to get the job done. Shared Values:called "superordinate goals" when the model was first developed, these are the core values of the company that are evidenced in the corporate culture and the general work ethic. Style:the style of leadership adopted. Staff:the employees and their general capabilities. Skills:the actual skills and competencies of the employees working for the company.
- 8. CLOSING THE INFRASTRUCTURE GAP Clearly define what “data” means to you, your team, and your organization. Determine the desired function you’d like your data to play. Set the purpose –what is the end goal? Explore internal and external data sources to reach your goal. Get all the players on the field and with a clear play plan. Always, repeat and review often.