2014: The Year Big Data Adoption Goes Mainstream In The Enterprise

Author

Louis Columbus, Contributor

January 13, 2014

Last week IDG published their latest big data enterprise survey and predictions for 2014 finding that on average, enterprises will spend $8M on big data –related initiatives in 2014.

The study also found that 70% of enterprise organizations have either deployed or are planning to deploy big data-related projects and programs.  The study 2014 IDG Enterprise Big Data Research is summarized here.  The goal of the study includes gaining a better understanding of organizations’ big data initiatives, investments and strategies.

IDG’s methodology includes interviews of 751 respondents randomly selected from CIO, Computerworld, CSO, InfoWorld, ITworld, and Network World subscribers, e-mail subscription lists and LinkedIn forums.  An online survey of 46 questions was used.  To get the full study that includes a description of the methodology please contact IDG’s representatives listed on this page.

For purposes of the study, IDG defined big data as large volumes of a wide variety of data collected from various sources across the enterprise including transactional data from enterprise applications/databases, social media data, mobile device data, unstructured data/documents, machine-generated data and more.

Key take-aways from this report include the following:

  • 70% of enterprise organizations already deployed/plan to deploy big-data projects versus 56% of small and medium businesses (SMBs).
  • Enterprises will average $8M in investments in big data-related initiatives and programs in 2014.  The following table provides a breakout of company spending on big data by number of employees.
  • 74% predict that big data will be in mainstream use in at least one business unit or department.
  • The most critical success factor serving as a catalyst of big data option is identifying business areas and processes where big data can have the greatest impact (37%), making sure the human capital exists to effectively extract value from big data initiatives (29%) and making sure storage, compute and networking resources are capable of supporting a big data initiative (25%).
  • Improving the quality of the decision-making process (59%), increase the speed of decision-making (53%), improving planning and forecasting (47%) and developing new products/services and revenue streams (47%) are the top four areas driving investment in big data initiatives today.
  • Storage (49%), servers (47%), cloud infrastructure (4%), discovery and analytics (43%) and applications (42%) are the top five areas of big data investment today.  Timeframes of investment plans by area are shown in the following graphic.
  • Employment opportunities are bright in enterprises adopting big data, as the following graphic illustrates.  19% of respondent companies plan on hiring data programmers in the next 12 to 18 months, followed by business analysts, data analysts, engineers and data architects.

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