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August 2020 - Inciter
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Why Nonprofits Fail to Make the Most of Their Donors

You love your donors and you want them to love you. You craft amazing campaigns. Powerful messages, moving stories, carefully constructed asks. You believe in your mission and you are very good at connecting with others who do, too. But you aren’t getting the donations that you need, and you keep losing donors. It’s like your donations are a leaky bucket. You work harder and harder, create more campaigns, reach out to more people, but you can’t keep the donors you’ve got or raise as much as you need to. You are not alone. Only sixty-three percent of organizations meet their fundraising goals. The average nonprofit is missing out on over three and a half MILLION dollars in donations because they aren’t maximizing their data. Information about your donors and campaigns is all...

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Tools to Make Data Cleaning Easier

Cleaning, wrangling, munging, preparation, validation, ETL, transformation, ELT… these are all different names for “making data more useful.” Whether you’re doing one-off analysis, scheduled reports analytics, or integrating two different data systems or applications, when you work with data, data cleaning is an important part of almost all data processes. Data cleaning is taking data as-is and changing the content, structure or format to be more useful. Removing blank rows and deleting invalid addresses are examples of data cleaning. Data cleaning can be the most laborious part of a data analysis project. At Inciter, we use tools to streamline the process and save us hours of tedious work.There are a seemingly endless number of tools to assist in the process of data cleaning. Some of them can only be used...

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