Big Data Analytics

Read this article and pay attention to the four ways to process data, how big data analytics are used, and the methodology.

Big Data Analytics

Summary

Analyzing large data sets to identify useful insights.


Big data analytics is the process of obtaining and analyzing large data sets to generate useful insights, connections, correlations, and patterns, with the ultimate goal of improving a nonprofit's decision making and strengthening its impact.

Driven largely by advances in technology, big data analytics provides an opportunity to process data in four novel and improved ways:

  1. Volume: enables the analysis of massive data sets
  2. Velocity: provides real-time insights and analysis
  3. Variety: allows the linking of data from multiple data sets and sources
  4. Variability: manages differences in data formats

Source: The Bridgespan Group, https://www.bridgespan.org/insights/library/nonprofit-management-tools-and-trends/big-data-analytics
Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 License.