Cracking the Code for Data Innovation Labs That Actually Work

While we wholeheartedly are in favor of intentional innovation, organizations shouldn’t do away with their entire way of working in pursuit of it. It is neither possible nor practical to simply throw out what’s working and embrace the newest innovations without any consideration. The problem though is that organizations rarely have the tools, processes, or talent to operate in such a way without affecting other areas of business. So how do they bridge this gap?
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Most leaders are starting to understand that they rarely have all of the qualified individuals to carry out innovation at their own organization, and that a better way of working will almost certainly come from outside the company. Accelerators provide the necessary “innovation interface” that allow big companies to connect with and evaluate outside innovations without having to change their entire organizational structure.

While we wholeheartedly are in favor of intentional innovation, organizations shouldn’t do away with their entire way of working in pursuit of it. It is neither possible nor practical to simply throw out what’s working and embrace the newest innovations without any consideration. The problem though is that organizations rarely have the tools, processes, or talent to operate in such a way without affecting other areas of business. So how do they bridge this gap?
‍
Most leaders are starting to understand that they rarely have all of the qualified individuals to carry out innovation at their own organization, and that a better way of working will almost certainly come from outside the company. Accelerators provide the necessary “innovation interface” that allow big companies to connect with and evaluate outside innovations without having to change their entire organizational structure.