shape , cataloguing it , getting it flowing in correctly and completing quality checks is a challenge because we have to make sure we ’ re doing it safely ,” he says .
“ What ’ s more , when we aggregate data and build models , we have to make sure that any client sensitive information , and the sensitive information of our clients ’ customers , is kept anonymous while being presented in an aggregated form – ensuring we ’ re delivering insights without exposing anything we shouldn ’ t be .”
This is an area , understandably , of high scrutiny , and something Marc and the team simply have to get right . They do , though , and the benefits are just as exciting for Fiserv ’ s clients as they are for Fiserv itself .
Meeting specific client needs Of course , not every client of Fiserv ’ s is the same , and it is important to differentiate between them to deliver the tailored services they require .
Marc has three broad , but often interchangeable categories to define client needs and expectations : ‘ Do-itmyself-ers ’, ‘ Do-it-with-me ’ s ’ and ‘ Do-it-for-me ’ s ’.
“ What I like to call ‘ Do-it-myself-ers ’ often have their own data warehouses , they just need access to the data .”
That doesn ’ t mean it ’ s a walk in the park for Fiserv , though . Not only does it need to remove friction for banking clients in accessing their data , it must also help them connect the data so they
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