• español
    • English
    • Deutsch
  • English 
    • español
    • English
    • Deutsch
  • Login
View Item 
  •   PRCR Home
  • Polytechnic University of Puerto Rico
  • Design Project Articles Master Degree
  • Computer Engineering
  • View Item
  •   PRCR Home
  • Polytechnic University of Puerto Rico
  • Design Project Articles Master Degree
  • Computer Engineering
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Big Data vs. Business Analytics: Could this work together?

Thumbnail
View/Open
Articulo Final_ Antulio Lorenzo (184.0Kb)
Poster_ Antulio Lorenzo (372.1Kb)
Date
2020
Author
Montes de Oca, Antulio Lorenzo
Metadata
Show full item record
Abstract
In a world where technology constantly evolves and the amount of data being created is exponentially increasing, data processing and analysis becomes crucial on decision and risk evaluation. Companies around the world can agree that fast processing, predictive analysis, and realtime data can give strategic advantage. Business Intelligence (BI) is an approach of information gathering and analysis to give executives a better understanding based on data. BI can be applied using concepts from statistics, artificial intelligence, and data mining, among other, focusing on achieving to help companies in decision- and risktaking. Big Data is used to describe large sets of information that traditional systems, such as databases, cannot process and maintain reliably. These techniques make the processing of high volumes of data easier, which in turn may result in quick analysis. One of the benefits of integrating Big Data and Business Intelligence is the management of both structure and unstructured data from diverse and large collections. Key Terms ⎯ analytics, big data, business intelligence, systems
URI
http://hdl.handle.net/20.500.12475/1064
Collections
  • Computer Engineering

PRC Repository copyright © 2022  COBIMET, Inc.
Contact Us
Theme by 
Atmire NV
 

 

Browse

All of PRCRCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

Statistics

View Usage Statistics

PRC Repository copyright © 2022  COBIMET, Inc.
Contact Us
Theme by 
Atmire NV