CASE STUDY
Bigstep Provides Real-Time and Predictive Fleet-Data Analysis
Bigstep helped CitySprint implement a high-performance, flexible environment tailor-made for analyzing real-time and historical fleet data. Find out how to perform predictive and real-time data analysis using the data science capabilities of Spark.
Learn how our solution enabled real-time fleet tracking and geospatial analysis, real-time route optimization, cargo load planning and optimization, prediction of parcel pickup locations, expansion area analysis and ad-hoc data research and analysis for CitySprint.
Related resources
case study
The cloud will redefine gaming as we know it today. To be successful you need to make sure your infrastructure can handle the unique requirements of cloud gaming. Find out how Bigstep Metal Cloud helps cloud gaming companies in their endeavors.
case study
Find out how Bigstep empowered AlignAlytics’ data scientists to easily design and deploy their big data architecture in minutes. You too can scale and experiment with new big data technologies using Elasticsearch.
case study
Bigstep enabled one of the biggest European brick and mortar retailers to track their day-to-day sales across multiple stores, react to customer trends, predict stock needs, and increase revenue by meeting demand. Learn how to increase profit margins.