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NJ Transit

The Center for Business Analytics is pleased to recognize NJ Transit as an honoree of the 2023 Drexel LeBow Analytics 50 Awards. Read more about how NJ Transit used analytics to solve a business challenge.


Lookman Fazal, Chief Information and Digital Officer


NJ Transit



Business Challenge

In 2020, NJ Transit initiated a data mining process from its old infrastructure, aiming to transform its IT operations to a cloud-based system. This would facilitate predictive analytics and machine learning.

Analytics Solution

The IT team diligently collected data from various sources, moving the bulk of it to a multi-cloud setup. With this data warehouse, NJ Transit can derive more insights, assessing train and bus punctuality, employee availability, the reasons behind delays and forecasting weather impacts on services.


NJ Transit has expanded its team to boost its data transformation and hasten insights. The company’s advanced data capabilities enable better foresight of its business analysts’ needs and allow the IT team to create innovative ideas, focusing on developing and modernizing transportation services.