Big data and analytics

unduhan-23Few dispute that organizations have more data than ever at their disposal. But actually deriving meaningful insights from that data—and converting knowledge into action—is easier said than done. We spoke with six senior leaders from major organizations and asked them about the challenges and opportunities involved in adopting advanced analytics: Murli Buluswar, chief science officer at AIG; Vince Campisi, chief information officer at GE Software; Ash Gupta, chief risk officer at American Express; Zoher Karu, vice president of global customer optimization and data at eBay; Victor Nilson, senior vice president of big data at AT&T; and Ruben Sigala, chief analytics officer at Caesars Entertainment. An edited transcript of their comments follows.

Interview transcript

Challenges organizations face in adopting analytics

Murli Buluswar, chief science officer, AIG: The biggest challenge of making the evolution from a knowing culture to a learning culture—from a culture that largely depends on heuristics in decision making to a culture that is much more objective and data driven and embraces the power of data and technology—is really not the cost. Initially, it largely ends up being imagination and inertia.

What I have learned in my last few years is that the power of fear is quite tremendous in evolving oneself to think and act differently today, and to ask questions today that we weren’t asking about our roles before. And it’s that mind-set change—from an expert-based mind-set to one that is much more dynamic and much more learning oriented, as opposed to a fixed mind-set—that I think is fundamental to the sustainable health of any company, large, small, or medium.

Ruben Sigala, chief analytics officer, Caesars Entertainment: What we found challenging, and what I find in my discussions with a lot of my counterparts that is still a challenge, is finding the set of tools that enable organizations to efficiently generate value through the process. I hear about individual wins in certain applications, but having a more sort of cohesive ecosystem in which this is fully integrated is something that I think we are all struggling with, in part because it’s still very early days. Although we’ve been talking about it seemingly quite a bit over the past few years, the technology is still changing; the sources are still evolving.

Zoher Karu, vice president, global customer optimization and data, eBay: One of the biggest challenges is around data privacy and what is shared versus what is not shared. And my perspective on that is consumers are willing to share if there’s value returned. One-way sharing is not going to fly anymore. So how do we protect and how do we harness that information and become a partner with our consumers rather than kind of just a vendor for them?

Capturing impact from analytics

Ruben Sigala: You have to start with the charter of the organization. You have to be very specific about the aim of the function within the organization and how it’s intended to interact with the broader business. There are some organizations that start with a fairly focused view around support on traditional functions like marketing, pricing, and other specific areas. And then there are other organizations that take a much broader view of the business. I think you have to define that element first.