Does Your Organization’s Infrastructure Support Big Data?

By: Phil Simon| - Leave a comment

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In my last post, I argued that many organizations suffered from antiquated tech infrastructures that enhanced startups’ inherent advantage. The results are often disastrous: The recent Yahoo! deal proves that no company—no matter how iconic—is guaranteed a permanent seat at the table.

I’ll be the first to admit that organizations cannot significantly alter their tech infrastructures overnight, much less willy-nilly. Contrast this with the widespread software development orthodoxy. Agile methods and lean principles allow proper developers and DevOps folks to add features in an iterative way. If something breaks, then they fix it. It’s hard to think of complex “back ends” in a similar manner.

Still, there’s no doubt that, compared to prior decades, infrastructures are more flexible than ever—or at least they can be. To explain why, a little history lesson is order.

The Rise of Cloud ComputingPost 2 - in post

Remember that up until the early 20th century, most large American companies produced their own electricity. (No, I’m not kidding.) Eventually, however, they realized the silliness of this practice and relented. Rather than worrying about power supplies, they generally focused on their core competencies. (For more on this, see The Big Switch: Rewiring the World, from Edison to Google by Nicholas Carr.)

A similar shift is taking place thanks to the rise of cloud computing—and has been for a decade now. Today, it’s never been easier and less expensive for organizations to add compute power. With a few clicks of a mouse, organizations can provision additional resources. What’s more, unlike the 1980s and 1990s, they need not host all of their own servers onsite. Finally and perhaps most important, organizations can change the way in which they account for their technology. Operational expenses replace capital expenditures. (If you think that this is simply a meaningless accounting exercise, think again.)

All of this beg the questions, So what? Why does any of this even matter?

Simon Says

Put simply, the business world has never moved faster. All companies are becoming tech companies. Also, as I write in Too Big to Ignore, Big Data is no longer the luxury that it once was—and I’d put its cousin analytics in that same boat.

Playing around in Excel with lists of customers, sales, employees, and other structured transactions simply won’t cut it anymore. Without tapping into large amounts of unstructured data, organizations will not be able to understand critical customer, employee, product, and business trends. Ditto for new data sources. But how many organizations’ current infrastructures can store this data—much less analyze it—in a meaningful way?

Not enough.

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About The Author

Phil Simon

Professor at ASU’s W. P. Carey School of Business

Phil Simon is a frequent keynote speaker and recognized technology authority. He is the award-winning author of eight management books, most recently Analytics: The Agile Way. He consults organizations on matters related to communications, strategy, data, and technology. His contributions have been featured on The Harvard Business Review, The New York Times, Fox News, and many other sites. He also teaches system design, analytics, and business intelligence at Arizona State University’s W. P. Carey School of Business.

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