2014 Big Data Outlook: Opportunities and Challenges

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A closer look at challenges

The survey tried to dig a layer deeper to provide insight into potential roadblocks that might cause companies to put off or not undertake Big Data efforts.

Dealing with large data volumes: One big concern, of course, is accommodating the “big” in Big Data. Almost half (46 percent) of the respondents said that their company was already managing 10TB of data or more for analytics in a typical month. And 21 percent of the respondents said they were managing 100TB or more per month.

Evolving thoughts on where data should be stored: As more companies explore Big Data analytics as a means to gain a competitive advantage or improve operations, there are some interesting shifts in where data is housed.

Addressing scalability of Big Data initiatives: As companies realize the benefits of initial Big Data projects, they naturally will want to expand their efforts. To scale such efforts and truly gain a competitive advantage, they will need to accommodate more data (of course), but in most cases they will need to expand the use of Big Data analytics to many more users.

Big Data has the potential to help companies improve operations and make faster, more intelligent decisions. As such, Big Data initiatives are poised for explosive growth. But like any new technology, there are obstacles that might prevent companies from realizing the full benefits that Big Data can provide.

To better understand the business drivers, expected benefits, and challenges of Big Data, QuinStreet Enterprise conducted a survey of 540 decision-makers involved in Big Data purchases.

The survey found that:

  • 77 percent of respondents consider Big Data analytics a priority
  • 72 percent cite enhancing the speed and accuracy of business decisions as a top benefit of Big Data analytics
  • 71 percent of mid-sized and large companies have plans for, or are currently involved with, Big Data initiatives.

However, even with this enthusiasm for Big Data and the expected benefits it might deliver, companies face numerous challenges in their Big Data efforts. Many are concerned about:

  • Big Data project and management costs
  • How to scale their infrastructures to accommodate the large volumes of data to be analyzed
  • Overcoming data silos and application integration.

Download Now: 2014 Big Data Outlook: Big Data Is Transformative – Where Is Your Company?


Related Topics : Vulnerabilities and Patches, Resellers, Broadcom, Broadband Services, Supercomputing

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