“Big Innovation Now”? A parallel reading exercise

On the Go is your weekly innovation inspired by elsewhere.

 

Sometimes “elsewhere” is not very far. Today, it’s just next door. Because of the critical economic, technological, social, cultural and systemic impact of Big Data, it is important to understand what mechanics lay behind, and actually, also beyond. There are free resources to get started with Big Data analytics and tools, the one I’ve chosen to explore is O’Reilly “Big Data Now”, available for download on the iBook Store. After going through a few lines, you can start reading a parallel discourse describing an inspiring world of innovation. Because it’s parallel, it looks very close. At hand. Could it be called… Big Innovation?

 

What is Big Innovation ?

Big Innovation
Big Innovation

Big Data is the concept of exceeding data from existing infrastructures and systems that need to be analysed in a new way

Big Innovation is innovation that is too complex or too new to be analysed and rolled-out with existing strategies. It requires a new approach. It requires “No-SQL”, Non-Standard. It is Meta-Consumer, Meta-Markets, Meta-Needs led, and it has a language that changes as the world, environment, cultures evolves. It has Meta-Impact. And it requires Meta-Changes.

 

Big Data requires agility, acceptance of experiments and failures, will and entrepreneurship

Big Innovation requires agility, acceptance of experiments and failures, will and entrepreneurship shared as a team. As much as Big Data requires specific skills and scientist background to be managed and optimised for success, Big Innovation requires new set of capabilities and organisation to spur. Big innovation enables you to take part of the discussion, and it enables you to learn how to take it forward.

 

« In an agile, exploratory environment, the results of computations will evolve with the detection and extraction of more signals. »

In an agile, exploratory environment, the results of  Big Innovation will evolve with the detection and extractions of more market signals. It enables you to build strategies based on changing needs, it enables you to adapt.

 

” Big Data is messy because of the high cost of data acquisition and cleaning, it’s worth considering what you actually need to source yourself.”

Big Innovation is messy because of the high costs of transformation, it’s worth considering what you actually need to meet customer needs. It’s worth knowing who you are, what you want and can achieve based on your unique values to market before you create your own Big Innovation.

 

How does Big Innovation work ?

Big Innovation
Big Innovation

« Data must be broken out of silos in order to be mined, and the organization must learn how to communicate and interpret the results of analysis”

Innovation must be broken out of silos in order to be successful, and organisation must learn how to communicate and execute Big Innovation strategies to market. The skills will encompass statistical analytics and computer science, but also storytelling, vision setting, value communicating down to end-user. There are no big math behind that. It mainly is your heart talking.

 

« Driven by social, mobile, and cloud technology, there is an important transition taking place, leading us all to the data-enabled world that those companies inhabit today. »

Driven by social, technological and economical changes, there is an important transition taking place, leading us to Big Innovation. How will technology, retail, communication, banking, education, science and markets co-create the future?

 

« The key trait is to make an organization’s feedback loop entirely digital. That is, a direct connection from sensing and monitoring inputs through to product outputs.  »

The key trait is to share innovation feedback loop instantaneously. A direct connection from sensing and managing customer needs through to product ideas. Instantaneous changes, universal customisation that makes sense.

 

It obviously isn’t just about Big Data, nor is it just about Big Innovation. These stories are so closely linked, it looks natural and instinctive to mix them. There may be other parallel stories. There may even be a parallel story that is only yours. I encourage you to try and play parallel reading of this book.

 

Have a nice week end.

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