Bigstep Resources

CitySprint Case Study

CitySprintCase Study

Paper Abstract

Bigstep assisted CitySprint in the implementation of a high-performance, flexible environment tailor-made for analyzing real-time and historical fleet data, with a 25% increase of collection efficiency and significant overall improvements in operational excellence.

What's Inside

CitySprint Is Up-To-Date With the Latest Technology
A market leader in the field, CitySprint’s GPS-enabled fleet allows for real-time tracking of couriers and guarantees same-day delivery anywhere in the UK.
CitySprint’s Goal to Optimize their Data-Driven Business
Bigstep set out to design and implement a flexible, versatile big data environment with high-performance in exploring geospatial and time-series data, real-time analysis on more than 22 million records and discover new business insights that can optimize CitySprint’s operations.
CitySprint Benefits from Bigstep DataLab Solution
CitySprint can now better predict collections and drop-offs, in turn being able to better handle resources by using the state-of-the-art technologies of Bigstep DataLab (Apache Spark, HDFS, Jupyter and many others).

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