For the last three years, ESG research has indicated that managing data growth is among the top priorities for IT organizations. With all of the marketing hype around "Big Data," we wanted to look into the challenges IT organizations are experiencing related to large data volumes --with a specific focus on data analytics and integration. Today, ESG published the research report, The Impact of Big Data on Data Analytics, with our findings.
To begin with, ESG defines Big Data as: "Data sets that exceed the boundaries and sizes of normal processing capabilities and force users to take a non-traditional approach to data management." The challenges organizations face will depend on the volume of data, the speed with which it needs to be processed or analyzed, and the amount of additional complexity that it injects. Cost is typically the tipping point that makes IT organizations want to look at alternatives to what they are currently doing today.
In order to assess current data analytics and data management trends and the impact large data volumes have, as well as plans for the next 12-18 months, ESG surveyed 270 North American IT professionals representing large midmarket (500 to 999 employees) and enterprise-class (1,000 employees or more) organizations. Respondents were familiar with their organization's current database environment as well as forward-looking strategies involving data analytics and integration initiatives.
The survey was designed to answer the following questions:
Survey participants represented a wide range of industries including manufacturing, financial services, communications and media, health care, and retail.
ESG subscription clients can access the report, The Impact of Big Data on Data Analytics by logging into our website. For more information on the contents and findings of this report, all users can take a look at the ESG Research Report The Impact of Big Data on Data Analytics Executive Summary. We hope you find this research valuable.
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