Roadmap of Scalable Analytic Methods
Published Feb 9, 2022
Scalable analytic methods refers to a broad collection of novel data-intensive methods, including artificial intelligence, machine learning, techniques for manipulating "big data," and data science. In this infographic, we illustrate how these more advanced methods relate to traditional analytical approaches, such as linear regression and Monte Carlo analysis.
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- Copyright: RAND Corporation
- Availability: Web-Only
- Year: 2022
- Pages: 1
- DOI: https://doi.org/10.7249/CPA1893-1
- Document Number: CP-A1893-1
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Osoba, Osonde A., Carter C. Price, Dave Baiocchi, Michelle Bongard, Karen Lee, and Margaret Chamberlin, Roadmap of Scalable Analytic Methods, RAND Corporation, CP-A1893-1, 2022. As of September 12, 2024: https://www.rand.org/pubs/corporate_pubs/CPA1893-1.html
Osoba, Osonde A., Carter C. Price, Dave Baiocchi, Michelle Bongard, Karen Lee, and Margaret Chamberlin, Roadmap of Scalable Analytic Methods. Santa Monica, CA: RAND Corporation, 2022. https://www.rand.org/pubs/corporate_pubs/CPA1893-1.html.
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