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Overcoming Legacy Processes to Achieve Big Data Success

Most large corporations are saddled with fragmented analytical processes, limiting their ability to operate with agility, flexibility, and insight. As a result, larger firms are often challenged when it comes to innovation and responsiveness. But Big Data approaches that enabled the flexibility and rapid growth of newer, smaller firms are being adopted by mainstream corporations. The goal: overcome legacy challenges and introduce greater corporate speed.


Innovating with Airborne Analytics

Hong Kong’s premier airline is using a blend of data and know-how to guide its daily operations. In an interview with MIT Sloan Management Review, Cathay Pacific CIO Joe Locandro describes how the airline uses analytics to make decisions that balance data with what it knows from the field. “Analytics will give you statistical spreads, give you training, but you still need to have this thing called experience and insight,” he says.


When One Size Does Not Fit All

Although executives understand the difference between efficiency and responsiveness, many are confused about when to apply each strategy. In recent years, companies have been caught in the bind in which Dell Inc. found itself in 2008, when it needed to transform its supply chain to serve new customers in new channels. The question was: how to do that? Dell decided to create multiple supply chains, configured so that the company could reduce complexity and benefit from economies of scale.



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