Repository logo
 

BIG DATA ANALYTICS TOOLS: A BIBLIOMETRIC LITERATURE REVIEW

dc.access.optionOpen Access
dc.contributor.advisorDrake, John R.
dc.contributor.authorJones, Holden P.
dc.contributor.departmentManagement Information Systems (MIS)
dc.date.accessioned2016-06-14T14:43:20Z
dc.date.available2016-06-14T14:43:20Z
dc.date.created2016-05
dc.date.issued2016-04-29
dc.date.submittedMay 2016
dc.date.updated2016-06-14T13:44:58Z
dc.degree.departmentManagement Information Systems (MIS)
dc.degree.disciplineManagement Information Systems
dc.degree.grantorEast Carolina University
dc.degree.levelUndergraduate
dc.degree.nameBSBA
dc.description.abstractAnalytics as a field is rapidly growing because of businesses need to tackle increasingly large and complex datasets to gain a competitive edge in the business environment. Currently there are two distinct types of analytics technologies: proprietary and open-source. Each has their distinct strengths and weaknesses, but which is relevant in today business environment? Questions like this are important for businesses wanting utilize these technologies in order to become larger and more efficient. This research answered this question and it was found that both proprietary and open-source technologies are equally relevant in current analytics research. Because of this, businesses should be more aware of the analytics field and how both types of technologies could benefit their current operations and should strategically utilize both types to meet their specific data needs.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10342/5615
dc.publisherEast Carolina University
dc.subjectAnalytics, Big Data, Information Systems
dc.titleBIG DATA ANALYTICS TOOLS: A BIBLIOMETRIC LITERATURE REVIEW
dc.typeHonors Thesis
dc.type.materialtext

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
JONES-HONORSTHESIS-2016.pdf
Size:
544.02 KB
Format:
Adobe Portable Document Format

Collections