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SAS Solutions Technology enthusiasts – or ‘techies’ – are always interested in the latest trends, and for years, “big data” was trending at the top of every must-have technology capability list. Advisory firms, such as Gartner, published a myriad of research on big data and provided guidance regarding the emerging technology’s lifecycle and capability to solve real-world business challenges. The Gartner Hype Cycle, for example, is a graphical representation of the maturity, adoption, and application of emerging technology. Big Data emerged and rose to the peak of inflated expectations in 2013 and then began to fall, causing many to wonder whether the promise of big data was mostly hype and in its demise. So where are we in the lifecycle and evolution of big data today? No longer a buzzword, big data disappeared entirely from Gartner’s hype cycle in 2016, but not because it is no longer relevant. By contrast, it has rapidly become an integral part of the mainstream, reflecting the vast amounts of data we produce every day and the expectations for continued exponential growth. Yet, businesses remain challenged by the need to capture, store, analyze, and curate large volumes of data in order to leverage it as a strategic asset. In many cases, data sets are so massive and complex that they can’t be sorted out by conventional data processing technology and software.
“Data is growing faster than ever before and by the year 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet.” – Vishal Kumar, AnalyticsWeek, Big Data Facts
In theory, big data has many practical applications, but the reality of finding business value in big data is a prominent problem for companies across industry verticals. As a result, technology companies have been inspired to develop creative solutions to address many facets of this business dilemma. Big data has evolved into a major catalyst for innovation and more recent emerging technologies.
Big Data Inspires Innovation
The practical application of big data to real-world business problems is complex; and companies are undertaking big data initiatives and investing in innovative technologies to address data challenges, including:
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About the Author
Danielle Maughn, Director of SAS Solutions Consulting
Danielle serves as a trusted adviser with over 15 years of experience working with well known brands across retail, hospitality, and telecommunications in the marketing and technology space. Prior to joining, Danielle was a Solution Architect in the Global Customer Intelligence Practice at SAS, designing solutions enabling companies to manage customer engagement in a personalized and profitable manner. She earned a Bachelor of Liberal Arts with a concentration in Biology from Harvard University.