Patrick Stanton

Background

About Patrick Stanton

I started coding on a Sinclair Spectrum aged 8 & only stopped (reluctantly) just 4 yrs ago (being a CEO entails taking tough priority calls) Today I’m as obsessed by tech & innovation as ever, but I’ve come to realise the bigger challenge lies in adoption. WHY CYODA? After decades building & maintaining core operational systems in global banks, I was tearing my hair out (literally) because even the smallest changes were so incredibly difficult, slow & expensive. I also realised the future was all about DATA. Everything an FS firm involves collecting data, consolidating it, storing it, processing it in some way, or making it accessible for reporting & analysis to drive internal or client decisions. CYODA helps FS firms, Fintechs & RegTegs in 3 areas: 1. FROM DATA SILOS TO DATA MASTERY : We’re obsessive about enabling firms to harness the potential of their disparate data with ease & speed. As banking veterans, we understand just how complex and diverse FS data can be. We know that consolidating data sources consistently and coherently is not trivial. Indeed, we’ve seen the brightest ideas fail, due to an inability to get the right data foundations in place. Fintech has transformed Financial Services, predicated by an explosion of new technologies to manipulate, analyse & present data (AI, ML, mobile apps, big data analytics…) But these innovations are only as good as the data that underpins them. All too often, they are throttled by the inefficient, archaic core that lies beneath. That’s where we focus-We want to help firms extract maximum value from fintech innovation-We want to make it easier & faster to access the right data with confidence and in the form needed to fuel your business-critical apps-We want to put your data team in the pilot seat, so you’re not dependent on IT for every data integration -We make it easy & low-code to deliver change. Whether you’re looking to consolidate, store & process complex data at huge scale, or whether you’re simply looking to streamline the consolidation of disparate data for MI and analysis, our SaaS data platform can make the process simpler, easier and faster. SCALE-UPS: Re-engineering your data for rapid growth Our low-code data platform eliminates barriers to growth; tech that will flex with your business and operate robustly at infinite scale 3. START-UPs: Building your data foundation: Why does your MVP have to be throw-away? What if you could have (just as fast) an enterprise grade, infinitely scalable solution, that can flex with your ambition, without paying more?