Wiley & sas business Series



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Big Data, Big Innovation full

   Taking the Next Step 
 Getting past this point requires acknowledging that sometimes struc-
ture is necessary. Somewhat counterintuitively, it 
’s about limiting 
choice, reducing fl exibility, and improving repeatability. 
 Flexibility encourages innovation and agility. However, too much 
of a good thing can hurt. Without a way to commercialize good ideas, 
all the benefi ts of innovation are lost. Organizations operate in a dif-
ferent context from individuals. What may work brilliantly for one 
person rarely scales to a larger system without some deliberate design 
and planning. 
 The starting point is usually to start profi ling current activities 
across people, process, data, and technology. Are there too many tools? 
Conduct an audit and start rationalizing them. Are there undefi ned 
processes? Understand what people do and what outputs their cus-
tomers are expecting. Are there PC-based data structures? Consolidate 
them onto a shared environment. Is there limited reuse of skills across 
projects? Profi le existing skills and start thinking about capabilities 
rather than individuals. 


84 

  
B I G   D A T A ,   B I G   I N N O V A T I O N
 The objective at this level is simply to create some structure, even 
if it ’s limited in the fi rst instance. More than anything else, it ’s about 
exposing current practices and simply  understanding  them. Trying to 
 fi x  things is often a step too soon and too far in these cases. Without 
knowing where the problems are, where attention is being focused, or 
even how effectively people are doing their jobs, every “fi x” carries the 
risk of making things worse. 

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