 How about a budget for data? The first step in budgeting for data is to establish why you need data. Is it worth knowing whether your work has been successful? Is it worth using those lessons to guide your next efforts? Figuring out how much to spend on analytics can be a real challenge for many organizations, especially ones that haven't yet learned how to use data to improve efficiency and effectiveness across all teams. Regardless of whether you've budgeted for data, recognize that data can play a role in many of your existing projects. Strategic planning, measurement and evaluation, day-to-day outreach, website redesigns. All of these are opportunities where you should absolutely work with data. And to the extent that they have budgets of their own, these projects should similarly be seen as ways to fund your work on data. However, the clearest way to encourage productive use of data is to directly fund it with a line item, like data operations or analytics capacity building. Use these budgets to create new, organization-wide analytics capabilities and to foster a culture of data.