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Business Chief USA August 2020

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like insurance and investment. The<br />

power of data analytics to harness<br />

and draw insights from vast pools of<br />

data (that would simply not be feasible<br />

for humans to manually evaluate) is<br />

a game changer for the industry.<br />

However, the game hasn’t been<br />

changed yet. A report released earlier<br />

this year by FSN, a mere 14% of financial<br />

organisations are successfully harnessing<br />

the large volumes of transaction data<br />

they accumulate. These organisations<br />

are either laden down by too much data,<br />

constrained in accessing their data,<br />

or hindered by the technology they are<br />

using to analyse the data. The stakes<br />

are high, as well; Gartner estimates<br />

that each incorrect decision regarding<br />

finance analytics can cost a business as<br />

much as 1% of its revenue, a figure that<br />

can mount dramatically over the course<br />

of an unsuccessful transformation.<br />

“CFOs must ask what technologies<br />

will enable finance to deliver on-demand<br />

reporting, how should data be governed<br />

as reporting expands to integrate<br />

financial and nonfinancial data,<br />

and what skills finance will need to<br />

deliver insight in an on-demand reporting<br />

environment,” commented Craig<br />

Wilton, Senior Director, Advisory,<br />

Gartner. “Finance must balance the<br />

need for accuracy with the need to<br />

make a huge volume of data available<br />

for decision-making, which is a new<br />

muscle for many finance teams.”<br />

99<br />

businesschief.com

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