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Accenture Technology Vision 2013

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Trend 2. Design for Analytics<br />

<strong>Accenture</strong> <strong>Technology</strong> <strong>Vision</strong> <strong>2013</strong><br />

provide unprecedented information<br />

about consumers, and sensors and<br />

embedded devices expand the ability<br />

to gather data into areas where<br />

computing power has never been<br />

before. The problem now becomes<br />

the absence of the right data.<br />

The IT world we live in today revolves<br />

around software applications.<br />

Businesses have developed data<br />

models to support application<br />

functionality, which is necessary<br />

for the application to do its job. If<br />

an e-commerce application needs<br />

to know what device a consumer<br />

is connecting from in order to<br />

authenticate the consumer, it<br />

captures that information; if the<br />

application doesn’t need to know,<br />

and knowing doesn’t support the<br />

user experience, it doesn’t. Most<br />

companies have also taken the next<br />

step—for example, they recognize<br />

that consumer information is<br />

valuable for future insight, so they<br />

capture more of it where they can.<br />

But generally they have not done this<br />

with any specific question in mind.<br />

So, when this data is repurposed<br />

as an input to make strategic<br />

decisions—such as entering a new<br />

market or pricing a new service—<br />

glaring information gaps often<br />

arise. The goal isn’t to amass data.<br />

It’s about enabling the business<br />

to answer a question, to create<br />

insight, and to use that insight to<br />

help the company achieve its most<br />

basic goals. With every data gap,<br />

enterprises miss an opportunity to<br />

make better decisions or improve<br />

how they run their business. To move<br />

forward, to answer the question, you<br />

have to adopt a data-first strategy<br />

and plug the data gaps.<br />

Plugging these data gaps—that is,<br />

getting the right data—requires<br />

a fundamental shift in design<br />

philosophy for how new applications<br />

“ The problem is no longer the absence of enough data. In fact, enterprises<br />

are now being flooded with new data, big-data tools mine countless new<br />

unstructured-data sources, social media now provide unprecedented<br />

information about consumers, and sensors and embedded devices expand<br />

the ability to gather data into areas where computing power has never been<br />

before. The problem now becomes the absence of the right data.<br />

”<br />

20

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