Budget Solutions at the Intersection of COVID Response, Equity and Reimagining Police Services

October 22, 2020
10:00 am - 11:00 am PT


Registration closed.


Join ResourceX CEO, Chris Fabian, for a conversation on making data-driven budget decisions.

At the intersection of COVID response, implementing equity metrics, and reimagining police services, the next wave of budget decisions will be programmatic!

Local governments need data on every program they provide, to guide the best choices for service-level changes and savings options – and this data is needed as soon as possible, to plan for decisions you must make in the very near future.

Creating data-driven budget decisions requires programmatic data to drive totally new discussions about service delivery, where we can save and reallocate resources, and opportunities to still generate new revenue.

Local Governments need to have programmatic data to base decisions on – knowledge of every program offered, the cost of providing the program, level of service, cost recovery, equity impact, degree of mandate in providing the program, opportunity to partner, etc. We need this data, to open up all options ahead for:

a.) programs that need more resources,

b.) programs that need to be provided as-is (status quo)

c.) programs that can be suspended (even if temporarily),

d.) programs flexible for level of service adjustments,

e.) internal program partnership and consolidation opportunities,

f.) programs ideal for external program partnership

g.) programs with revenue generation opportunities (cost recovery, grant reimbursement, regional offering for in-sourcing, etc) Answers to these questions require program-level data, and insight creation, to provide budget solutions to achieve foundational results, outcomes, and thrive!

Join the Alliance for Innovation plus ResourceX for this webinar. Register today!

Event Details


  • October 22, 2020
  • 10:00 am 11:00 am PT
  • Registration Deadline: 10/22/2020


  • Member Price:Not available
  • Non-Member:Not available

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