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

1
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.
2
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.
3
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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