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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 />

value by collecting data with the<br />

real end purpose in mind. The result:<br />

better data, which equals<br />

better insight.<br />

Ford Motor Company research<br />

logically deduced that the customers<br />

of its hybrid vehicles preferred using<br />

electric power as much as possible.<br />

However, the system was originally<br />

designed to deploy electric power<br />

based on other parameters, such as<br />

amount of battery power remaining.<br />

But Ford developed an algorithm<br />

using data from the cars’ built-in<br />

GPS systems to track when drivers<br />

were close to home or frequently<br />

vii<br />

visited locations close to home.<br />

Knowing that the vehicles were<br />

more likely to be within the range<br />

of a battery charge, the engineers<br />

were able to adjust the powertrain<br />

controls to rely more on electricity<br />

than on gasoline in those scenarios.<br />

Customers don’t see the algorithm<br />

working, but they do see that they’re<br />

relying more on electric power,<br />

which delivers higher levels of<br />

customer satisfaction.<br />

In a short time, savvy businesses<br />

can create a virtuous feedback loop<br />

that allows them to collect, analyze,<br />

and respond in an increasingly<br />

agile manner, and then revisit their<br />

questions on a periodic basis in<br />

order to continuously assess new<br />

data in the context of changing<br />

business conditions and strategies.<br />

This will require the integrated<br />

involvement of IT with the business,<br />

because IT may need to tweak data<br />

collection mechanisms, including<br />

user interfaces, on mobile apps and<br />

enterprise applications in order to<br />

acquire additional data points.<br />

Foresight:<br />

establishing a<br />

feedback loop<br />

for insight<br />

What will the feedback loop look<br />

like when software is designed for<br />

analytics It starts with setting goals<br />

and creating questions that need<br />

to be answered. Ask the leaders of<br />

organizations within your enterprise<br />

if they can clearly articulate the key<br />

specific questions they are trying<br />

to answer; many will not be able<br />

to, and fewer still will have those<br />

questions documented and feeding<br />

into teams to answer them. Though<br />

obvious on the surface, this task<br />

should not be underestimated. It is<br />

not trivial. And it is not something<br />

for which most companies have a<br />

formal process. They need to<br />

create one.<br />

“ What will the feedback loop look like<br />

when software is designed for analytics<br />

It starts with setting goals and creating<br />

questions that need to be answered.<br />

”<br />

26

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