Wiley & sas business Series



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Big Data, Big Innovation full

    FUNCTIONAL INNOVATION 
 Organizations with this perspective have extended their focus from 
one-off benefi ts to continual improvement. They 
’ve embraced the 
journey it implies and actively chase  functional innovation . They under-
stand how their business works, have the ability to measure it, and 
relentlessly search for and deliver continuous gains. Above all else, 
they value  improvement . 
 To avoid the tightening labor market, these organizations put an 
emphasis on automation. They embed analytics within operational 


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B I G   D A T A ,   B I G   I N N O V A T I O N
microdecisions, improving decision quality as well as decision effi -
ciency.  
 2  
 To ensure their analytical assets are effective, they ’ve embraced 
formal asset management and value measurement. To drive repeat-
ability and process effi ciency, they ’ve standardized their processes and 
minimized transaction costs through effective use of workfl ows. Tying 
all this together is a series of key performance indicators that reinforce 
positive behaviors and discourage inappropriate behaviors, supported 
by a measurement framework that makes outcomes transparent. 
 Processes are well defi ned, roles and responsibilities clear, and 
objectives transparent. New hires often fi nd this disconcerting—
rather than having to operate independently, they often fi nd there are 
entire teams there to support them with analytical data management, 
model operationalization, or any other number of specifi c competen-
cies. The organization has well-defi ned structures to share informa-
tion and cross-pollinate innovations. Even better, these structures are 
actively used. 
 More than just looking for outcomes, they look for repeatability 
and reuse. Economies of scale and scope become real and provide cost 
advantages over their competitors. Quality and agility become more 
than concepts; organizations at this level deeply understand and have 
the ability to track, measure, and improve both. Embracing this per-
spective is a signifi cant step; few organizations truly reach this point. 
Those that do, have the sophistication and management maturity to 
operate and coordinate truly complex management structures. 
 Moving beyond this point involves a clear executive commitment 
to deliver sustainable competitive advantage through more than just 
functionally aligned or effi cient activities. Instead, the leadership team 
must decide to treat business analytics as a differentiator in its own 
right and embrace disruption. There is nothing to say that this is a 
necessary step; many organizations look for differentiation elsewhere. 
However, organizations that reach this or the next level create a form 
of differentiation that, if sustained, is hard to replicate. 

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