DonorSnap Launches DataMiner Platinum: An Advanced Query Tool in Powerful Fundraising Software

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The latest update to DonorSnap fundraising management software is a powerful query tool for basic users and advanced programmers alike. Users can export any information stored within their database to Excel in precisely the way they want it.

This query tool allows deep data analysis that was previously only possible for nonprofits using fundraising management systems that cost tens of thousands of dollars.

DonorSnap provides an inexpensive but powerful online fundraising management software program for both donor management and membership management. DataMiner Platinum is integrated into the DonorSnap system and is available free to DonorSnap users. This new query tool allows users to export any amount of data in a custom, organized manner. Most query tools offered by fundraising software companies are simple filters applied to data. These filters have many limitations on which fields can be exported. DataMiner Platinum is not bound by simple filtering techniques, but also allows complex logic queries for the most advanced users. This query tool allows deep data analysis that was previously only possible for nonprofits using fundraising management systems that cost tens of thousands of dollars.

A tool like this can seem a little intimidating to inexperienced users. That is why DonorSnap has provided standard templates to get new users started on useful queries. Templates include identifying lapsed donors and preparing address data to be exported for cleaning and validation. Inexperienced computer users will be able to quickly and easily select data for exporting to Excel without any prior computer training. DataMiner Platinum query tool screenshots show how easy it is to get started using advanced queries.

Another unique feature is the output review grid. Users can preview their query before exporting to make sure the selection is in fact the data desired. In this screen users can also apply additional sorting and filtering or select specific records to exclude from the final output. This feature extends forgiveness to new users without having to export multiple times. Once the query is narrowed down, users will save their changes. A saved query can be run again any time without having to rebuild it.

With this new upgrade, DonorSnap users can export their data in any way they please. Select key individuals from their database to invite to an event based on how much they have given in the past or for specific campaigns. Print a report that shows which donors have changed their giving significantly in positive or negative ways. Create a special donor recognition report based upon timing and donation amounts. List tickler items that will be due within the next 30 days and sort it according to the person responsible for completing the task. Examine volunteer activity or see who should be billed for membership renewal. Easily see an overview of their current contact history by listing recent notes or interactions that have been added to the database without manually digging. Every organization has different needs that are specific to their goals. DonorSnap using DataMiner Platinum was created exactly for that purpose. A small budget can no longer hold nonprofits back from analyzing their data in exactly the way they want.

DataMiner Platinum is available free to all users of DonorSnap donor management software. The entry level pricing for the complete package is $40 per month for nonprofits with up to 5,000 contacts. Free trials are available for 30 days to all new customers.

About DonorSnap
DonorSnap, with offices in San Francisco and Milwaukee, was founded by Dennis Mueller, Milwaukee, a graduate from Harvard’s OPM program, former CEO of MRM Technical Group and currently DonorSnap’s Managing Partner and Robert Carr, of San Francisco, developer of Framework, GoPen and formerly of AutoDesk and Sofinova. Currently CEO of KeepandShare.com a social networking site for groups and organizations. Visit DonorSnap.com.

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Dennis Mueller
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