Published on: May 2026
BIG DATA IN INDUSTRIAL MANUFACTURING:A CASE STUDY OF GENERAL ELECTRIC'S PREDIX™ PLATFORM
Piyush Doifode
Prof. Avishek Das
Article Status
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Abstract
The exponential growth of industrial sensor data has compelled large-scale manufacturers to fundamentally rethink their data infrastructure strategies. This paper examines how General Electric (GE) — one of the world's largest diversified industrial corporations — confronted the challenge of managing, processing, and deriving value from machine-generated data at unprecedented scale. Through a structured case-study methodology, this paper analyses GE's development and deployment of the Predix™ Industrial Internet of Things (IIoT) platform, including its integration with Amazon Web Services cloud infrastructure. The paper maps each of GE's Big Data initiatives — predictive maintenance, real-time equipment monitoring, aviation fuel optimisation, wind farm management, and digital twin technology — against established Big Data frameworks, including the three Vs (Volume, Velocity, Variety), Hadoop/MapReduce distributed processing, NoSQL storage architectures, and the descriptive, predictive, and prescriptive analytics hierarchy. Findings indicate that GE's $1 billion investment in data infrastructure generated substantial operational benefits: issue resolution times decreased from weeks to days, wind farm energy output improved by two to five per cent, and individual customers avoided multi-million-dollar unplanned outages. The study also identifies the key implementation challenges GE encountered — including scalability, latency, data security, talent acquisition, and system integration — and documents the solutions applied. The paper concludes that Big Data transformation in heavy industry requires not only technological investment but also organisational commitment, talent strategy, and a willingness to reimagine the product from hardware to data-driven services.
How to Cite this Paper
Doifode, P. (2026). Big Data in Industrial Manufacturing:A Case Study of General Electric's Predix™ Platform. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.275
Doifode, Piyush. "Big Data in Industrial Manufacturing:A Case Study of General Electric's Predix™ Platform." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.275.
Doifode, Piyush. "Big Data in Industrial Manufacturing:A Case Study of General Electric's Predix™ Platform." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.275.
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- •Published on: May 08 2026
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