By Rob Starr, Big4.com Content Manager
Although the old axiom about the only constant in life being change was written long before mobile devices and laptops connected people and information across the globe, the meaning at the heart of the saying has never been more true. If you’ve followed the ever transforming IT landscape at any time over the last several years, you’ll have an appreciation for Capgemini’s 2015 Big Data and Analytics Predictions and the experienced foresight and in depth skill set needed to predict a future that changes more quickly than Heraclitus could have foreseen.
Steffin Harris is Principal, North America Head of Big Data and Analytics for Capgemini,
North America, and he started the conversation off in a familiar and predictable way. Cracking the Data Conundrum: How Successful Companies Make Big Data Operational is a Capgemini study that reports just 13% of responding organizations have Big Data implementations in full-scale production. Harris has dissected the apparent shortfall.
“We’re cresting on the big wave of what’s to come,” he says. “Spending right now is estimated at $31 billion globally for all big data initiatives. That trend is looking to magnify itself up to $114 billion by 2018.”
Harris says that in light of those numbers and the obvious corresponding awareness, organizations need to ask themselves what they need to do to ensure they’re best utilizing the money they’ve spent in this Big Data area. He notes there’s a convergence among specific trends meshing IT and business with inclinations toward the Analytics of Everything, Big Data platforms and such, so there’s a heightened focus on how best to leverage both internal and external data.
“The ability to inject that data, process it and gain real time insights from it becomes a lynchpin in an organization’s ability to compete in the marketplace,” Harris says adding the successful application of any Big Data initiative needs to start from a common beginning.
“If you don’t start with the defining business use cases that will prove to be of monetary value to the business, you’ll have a level of dissatisfaction. At the end of the day you need to start with that end in mind.”
Goutham Belliappa is Business Information Management (BIM)- Data Integration and Reporting Practice Leader for Capgemini, North America, and he shed some light on the
evolving relationship between Big Data and business
capabilities. “I think a lot of organizations fail to understand the capabilities they can deploy with their existing technology and Big Data stack,” he said adding the business case for Big Data becomes easier when the real time capabilities that can affect business processes in a positive way become apparent. “That’s where the tremendous difference between the cost and the benefit is made clear to where the cost itself is no longer a consideration.”
Automation was another factor Belliappa touched on. He noted that in the research points to Big Data aiding in automating many human tasks in the near future, singling out the telemarketing business which is expected to be fully programmed within the next decade. “Big Data will move up the value curve automating trivial, mundane and other tasks that currently consume human work cycles. Possibilities unimaginable even a few years ago open up to organizations and ecosystems that are willing to embrace the change,” he said.