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By Harpreet Kaintel, CIO, ZenithOptimedia Group
Over the last decade, data has emerged from the vaults (or servers) to occupy the space of a key organizational asset. This has brought the incumbencies of an asset upon data, with a primary responsibility of creating specific value for the owner organization.
This has triggered a shift in the existential question for IT; from ‘how to connect and store’ to ‘value it is adding to the business.’ IT function has been gradually evolving from being storage and safety provider to connecting the organization, internally and externally. But today’s data order threatens this legacy built around the traditional systems and solutions.
The massive scale of this shift requires IT to move from evolution to revolution and drive a crucial link between data infrastructure and business application; essentially upgrading the function from a reporting system to an intelligent decision system. This is the domain of data science, which has the wherewithal to turn data into an asset and a competitive advantage.
A few structural factors of data flow layout the basis for this fundamental shift:
These changes are redefining the fundamental approach and key focus of data solutions in multiple ways, a few highlighted below:
The enormous speed of change is leaving no room for a gradual transformational approach. What is needed is a tiered surgical approach to build almost a fresh eco-system. Here are a few practical principles which will guide these developments moving forward:
This is a crucial but transformational time for IT, either it earns that slot on the table or face relegation to the back-office. The function needs to collectively evolve from supplier mindset to being an integral part of the organization and make a concerted effort to change the definition of I from ‘information to intelligence’.