Big Data

The Buzz Behind Big Data

JUL 14, 2014

In the last two years the buzz term “big data” has become nearly as popular as SEO. Enterprise professionals (from sales and marketing to business executives alike) have been recognizing the advantages of big data and its innovative infrastructure. The financial growth and agile business making abilities that come from having and leveraging this kind of information is just one of the many reasons this initiative has become a main driver for businesses.

Another reason is that Big Data is a warehouse of knowledge that organizations could previously only dream of accessing. It included the nitty-gritty details about your target audiences’, which could ultimately give you the insight to not only understand your market, but to also dominate it.

Companies who are collecting big data understand that the infrastructure is at the core of this business buzz. To have data isn’t enough- organizations need to harness, analyze, and then act on the information, otherwise all those data points will just bounce around in digital warehouses, not making much of a difference.

As with any aspect of your business, big data and big data infrastructure needs to be used to help your business achieve a concrete goal. In its most basic form, this infrastructure is broken down into three elements:

  • Collection – The process of capturing your data as it occurs. This can be done through a variety of sources including social media outlets, your own business transactions, internal and external documents, web analytics and more.
  • Computation – The storage and processing of the data you have collected.
  • Consumption – How you view your data and how it is compiled into numbers that give useful snapshots and insights into your business and its productivity.

Once an organization has put in place a process for these three fundamental elements, ­the company can move into fresh approaches and benefits in regards to the information they have available. Two areas specifically are of great interest.

  • Real Time Big Data – The “big” in big data and big data infrastructure is not a term applied lightly. The shear volume of details being collected, processed and reviewed makes for a time intensive endeavor. This time delay’s one of the major hiccups businesses encounter when trying to utilize big data insights and transform them into actionable results. If the delay between capturing the data and consuming it is too long, opportunities for updating systems, adjusting services, increasing order sizes and more can (and often are) missed.
  •  Big Data Security – With the dollar value associated with big data and big data infrastructure constantly on the rise, security has become more and more of an issue. Simple fixes to big data infrastructures, like limiting user access and utilizing data encryption, have helped companies protect these digital assets. But, threat detection has become an even larger piece of the security puzzle. This is particularly true as social media and mobile devices become more and more prevalent. By monitoring those outlets, business can identify potential big data infrastructure leaks before they happen.

For more information on how to implement these three items and reap the rewards of big data in real time and big data security, we invite you to read our latest Big Data solution brief.

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