dimanche 9 février 2014

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

A lire sur: http://www.forbes.com/sites/louiscolumbus/2014/01/12/2014-the-year-big-data-adoption-goes-mainstream-in-the-enterprise/

1/12/2014 @ 7:25PM

Last week IDG published their latest big dataenterprise 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 LNKD -6.2% 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.
big data investments
  • 74% predict that big data will be in mainstream use in at least one business unit or department.
big data is here to stay
  • 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.
quality and speed
  • 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.
big data investments 2
  • 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.
staffing up

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