Gartner Research

Making Big Data Normal With Graph Analysis for the Masses

Published: 27 July 2015

ID: G00278415

Analyst(s): Nick Heudecker, Mark Beyer

Summary

Organizations worldwide are starting to infuse operations with data science's graph analysis approach. Use of graph databases can significantly reduce any support role played by data scientists. Information architects and analytics leaders should understand the costs and opportunities both present.

Table Of Contents
  • Impacts

Analysis

Impacts and Recommendations

  • Standardizing on a graph analysis language will accelerate the sharing of data science discoveries and processing into operational applications, and cascading into reporting
  • Graph databases will serve as the technology bridge between data science work and adding graph analysis to commonly used business intelligence solutions, allowing it to be accessed by less-skilled personnel
  • Having a data science team or lab will drive new procedures in the enterprise architecture team, relative to converting data science into production

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