The real world is messy.
Navigating it with the power of our technology requires us to make considered decisions and lead with our conscience.
We believe that companies have the opportunity to do good, and therefore invite those organizations who share that belief to work with us and our partners.
This Moral Compass guides how SparkBeyond and its partners take decisions for the right reasons.
We will make mistakes. Naturally. But we aspire to live and operate our business according to our values. What’s more, it’s how we handle these challenges that defines us.
In each interaction, SparkBeyond and its partners will act reasonably, in good faith, and with integrity.
Our principles of engagement guide our decisions, actions and our working relationships. They are the basis on which we build a shared understanding of what we do and how we do it.
While customers increasingly expect social impact from the world's most recognised brands, this isn’t limited to ‘pro-bono’ or charitable. In fact, there is enormous potential growth to be had by organizations that find the business case in addressing social issues.
Consider insurance organizations: they have aligned incentives with consumers to promote beneficial behaviour and, in-turn, mitigate risk. Creating consumer value in wellness requires targeted recommendations, which use a rich layer of AI allowing for partnerships with connected devices.
As these organizations collect and analyze diverse data sources that provide additional angles to the underwriting process, they in turn can also create social benefit.
Apply key dataset transformations through no/low-code workflows to clean, prep, and scope your datasets as needed for analysis
Apply key dataset transformations through no/low-code workflows to clean, prep, and scope your datasets as needed for analysis
Apply key dataset transformations through no/low-code workflows to clean, prep, and scope your datasets as needed for analysis
Apply key dataset transformations through no/low-code workflows to clean, prep, and scope your datasets as needed for analysis
Apply key dataset transformations through no/low-code workflows to clean, prep, and scope your datasets as needed for analysis
Apply key dataset transformations through no/low-code workflows to clean, prep, and scope your datasets as needed for analysis