Many fundraising organizations begin by understanding that they need to utilize AI somehow, but struggle to unlock tangible business value. Partnerships are the future of accelerated A.I. adoption.
Fundmetric partners with our clients to deliver on the strategic priorities of each organization. This approach is integral to moving forward, from small-scale AI experimentation to large-scale AI implementation.
Scaling AI is a process of evolution, requiring partners and organizations to shift and adapt. As fundraising organizations advance on their AI journey, we encounter new and emergent challenges, spanning strategy, organizational culture, and technology. Fundmetric is a committed partner who will work through those challenges with you.
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For organizations who are serious about AI as a priority, training data is critical and the current level of system integrations provide minimum data flow, limiting the amount, and what kind of data can be moved.
Our approach to integration makes us system agnostic. Our engineers custom build data integrations based on your systems and workflows. This means that the level of integration far exceeds that of pre-built integrations, and provides the flexibility to account for changing data fields and dynamic organizations.
Fundmetric’s platform has the ability to pay attention to an infinite number of donor preferences. This allows us to determine when a donor is ready to give and even how much they are likely to give, enabling organizations to personalize the donor experience, considering where they are on their journey.
We live in an increasingly data-centric economy. The tool-set available to capture data for not for profit organizations has not been specialized in the same way that it is for other industries.
A common solution has been to use tools designed and built for other applications, these tools are often focused on capturing consumer purchase behaviours, or built for fundraising but not for specialized machine learning. The result is that fundraising organizations lack a specialized dataset, because it is not captured and structured for them. For example, the behaviour and psychology of a purchase is quite different from the behaviour and psychology associated with a donation.
Fundmetric generates a depth of data that goes beyond demographic and donation capture, including time and behaviour. These data types are crucial to result oriented machine learning, because they have the potential to grow exponentially faster and more consistently than other types. Fundmetric data generation provides maximum information gain for our built in-house, state of the art machine learning.
We test dozens of different learners to see what performs the best. Two different organizations can have the same prediction but use different learners depending on what has the lowest error rate for that particular organization.
All of the modeling is custom tailored to your data and your needs. If there are gaps in the data, we have anonymized data sets that we can use upon request to improve your prediction accuracy.
Fundmetric has a unique approach to scaling AI, analytics and automation to power every person, in every function. This unique approach takes AI out of silos and allows our clients to unlock the full potential of AI to generate the greatest value.
From a more technical perspective, siloed data systems have made adopting AI a monumental task for even the most well resourced organizations. Even after siloed data challenges are overcome, the human side of AI adoption presents even greater challenges.
Flexibility is key to our approach, and our expertise allows for a graduated methodology that leverages best practices so that your team can crawl, walk and run with AI.
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We have a team of mission oriented engineers who bridge manual processes, eliminating the need for data cleansing, while customizing the environment to fit different client data schema. A common misconception is that you need to get your data ready before you select an AI partner. With Fundmetric, preparing your data is built into our implementation process. You provide your data as is and we take it from there.
We have a team of mission oriented engineers who bridge manual processes, eliminating the need for data cleansing, while customizing the environment to fit different client data schema. A common misconception is that you need to get your data ready before you select an AI partner. With Fundmetric, preparing your data is built into our implementation process. You provide your data as is and we take it from there.
Organizations use our platform as their secure and accountable infrastructure to maximize the utility of their data — while making sure that it’s processed in accordance with the rules, regulations, and norms that govern data privacy.
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We are living in the era of data, and with AI implementation on the horizon for so many organizations, never before has it been more important that people and technology are brought together.
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