FISERV
Snowflake , because of its platform ’ s ability to separate storage from compute .
“ What that meant is that if one of our business units was inputting data for its own client reporting and analytics needs , other units could access that storage from within Fiserv without having to move the data ,” Marc explains .
This has helped Fiserv cut down on data copies , and with workloads coming in different forms , Fiserv can now create different sizes of compute , whether for a multi-year multi-customer or a single customer report .
“ Thanks to Snowflake , we can scale up and down quickly without moving data into different formats .”
Today , Fiserv is also working towards data sharing not just across its own units , but in sharing data with its customers too .
“ Thanks to Snowflake , we can size up and down quickly without moving data into different formats ”
MARC RIND CHIEF TECHNOLOGY OFFICER ( CTO ) FOR DATA FISERV
“ Our customers ’ own data journeys are picking up ,” says Marc . “ So we ’ re really working on removing the friction of getting data shared out to them as well . There ’ s a lot of excitement around that currently .”
Data sharing : The perks and challenges Just as Fiserv is excited to expand its data-sharing capabilities with clients , so too is Marc glad to see that Fiserv clients are excited to have the fintech as their data solution provider .
“ We have clients from across the financial services spectrum , from small banks and merchants to some of the largest FIs . But across our client base , the idea of us being able to quickly and easily democratise data out to them is exciting for them and it ’ s enjoyable for me to see ,” Marc says .
The work Fiserv is doing – and the positive client response it is receiving in its efforts to move data in a similar direction , connecting it across the Fiserv network for data-leveraging product concepts – is also helping Fiserv take the next step .
“ You can have a great idea , but you need to get the data into shape to back up those ideas of product concepts – and that data likely comes from across the organisation ,” notes Marc .
This is one of the challenges Fiserv ’ s CTO of Data faces . “ Getting data into
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