Contributors and References

Meet the Authors and Works Cited

JOE GRANICK

Lead Research Analyst – Data Intelligence
Joe is the Lead Data intelligence Research Analyst at Stratascale. With a background in Data Analytics, Financial Planning and Analysis, and Economics, he has focused on optimized decision making by leveraging statistics, mathematics, and machine learning.

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SCOTT DAVIS

Director – Data Intelligence
With over 39 years of experience with data and technology across industries, Scott is a transformation executive specializing in creating vision for technical enablement, team development and breaking down silos. As director of Data Intelligence at Stratascale, he is responsible for helping clients operationalize the business value of data through foundations for execution that enable business agility.

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DEREK SHANK

Head of Research
Derek is head of research at Stratascale’s Innovation Labs. Throughout his career—from academia, to personal finance, to IT research, he’s focused on uncovering insights, and helping people put those insight to good use.

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References

Arthur, Charles. "Tech giants may be huge, but nothing matches big data." The Guardian 23 August2013,
https://www.theguardian.com/technology/2013/aug/23/tech-giants-data#:~:text=It%20has%20to%20be%20changed,for%20it%20to%20have%20value.%22

Bloem, Jaap, et al. "Your Big Data Potential: The Art of the Possible (Report 4)." 2013.

Cao, Sisi. Uber Gives Up Its Futuristic Dreams in Its Fight to Survive Coronavirus. 19 May 2020.
https://observer.com/2020/05/uber-layoff-coronavirus-pandemic-cuts-high-tech-division/

Clemons, Erick K and Matt E Thatcher. "Capital One: Exploiting and information-Based Strategy." Proceedings of the 31st hawaii international conference on system sciences. 1998.

A. Halevy, P. Norvig and F. Pereira, "The Unreasonable Effectiveness of Data," in IEEE Intelligent Systems, vol. 24, no. 2, pp. 8-12, 2009.

Huyen, Chip. "CS 329S: Machine Learning Systems Design." CS 329S: Machine Learning Systems Design. Stanford, 2021.

IBM Institute for Business Value. The Chief Data Officer Playbook: Creating a game plan to sharpen your digital edge. Somers, NY: IBM Corporation, 2016.

James, Gareth, et al. An Introduction to Statistical Learning: With Applications in R. Spring Business+Science Media, 2013.

Liffreing, Ilyse. AIRBNB JOB CUTS TOOK A HEAVY TOLL ON MARKETERS, DESIGNERS AND DATA SCIENTISTS. 12 May 2020.
https://adage.com/article/cmo-strategy/airbnb-job-cuts-took-heavy-toll-marketers-designers-and-data-scientists/2256246.

Provost, Foster and Tom Fawcett. Data Science for Business. S O' Reilly Media, Inc, 2013.

References

Schmarzo, Bill. The Economics of Data, Analytics, and Digital Transformation. Packt Publishing, 2020.

Sculley, D., et al. "Hidden Technical Debt in Machine Learning Systems." Advances in Neural Information Processing Systems 28. Conference on Neural Information Processing Systems, 2015.

Sharwood, Simon. IBM cuts deep into workforce – even its Watson and AI teams – as it 'pivots' to cloud. 5 May 2020.
https://www.theregister.com/2020/05/22/ibm_layoffs/

Shearer, Colin. "The CRISP-DM model: The new blueprint for data mining." Journal of Data Warehousing (2000): 13-22.

Silver, Nate. The Signal and the Noise: Why So Many Predictions Fail- but Some Don't. The Penguin Group, 2015.