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"Big data" has been a buzzword for the last decade in Silicon Valley. Investors and tech companies, from little-known startups to corporate giants, have poured billions of dollars into software and computer systems that promise to pore through mountains of information and glean useful insights into business trends or consumer behavior. David Dill, a computer science professor at Stanford University, said it has opened the door to do things that weren't possible before. It enabled the collection of vast stockpiles of information all while advances in computing hardware and online networking have made it possible to run more sophisticated analytical programs and crunch bigger sets of data more quickly.
Even so, there's plenty of hype and unreasonable expectations for what analytics can do.
"Even if you have a lot of data and you go after it with the most sophisticated, amazing techniques, it may not tell you anything or it may mislead, because the data doesn't have the information you need," Dill said.
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