About the project

The competition in cargo and commercial transportation is intense. In order to succeed in such a challenging market the service providers must identify their customers’ needs faster and better – automatically and proactively. For example, effortless purchasing and personalised customer experience are essential competitive advantages and their significance is growing even further in the future. VR develops its products, pricing and customer loyalty program based on data.

About the project

Our responsibilities

Business Intelligence
Software Development

"Bitfactor helped us harness our data. In practice, this means more personalised customer experience and buying process for our clients, as well as more optimised operations and business understanding for us. Cooperation with Bitfactor’s professionals has been brilliant. Their team working in our building has been a great solution for us and the project."

Annika Nordbo
Head of Analytics, VR

Challenge

In addition to creating a better customer experience, more real-time and accurate data was needed for leadership and operations management. In order to make quick decisions based on knowledge, the data must flow seamlessly and in real time from different sources. This enables, for example, the optimization of equipment based on more accurate, customer segment-specific predictions. Moreover, VR wanted to increase their sales in additional services by targeting the right products for the right customers and by estimating the purchase probability based on data.

Challenge

Cloud platform choice and architecture planning

In the project’s first phase we mapped out VR’s requirements, use cases and their current situation for using a cloud platform. We implemented a comprehensive comparison between Azure and AWS cloud platforms, including assessing their current state as well as initial architecture design and calculation of costs. Based on the groundwork, VR chose AWS as their platform.

Data from various systems, including the web store, VR Mobile, train route information and conductors’ application, is collected in a data warehouse. The data flows from different sources through a completely automated Apache Nif based mechanism. The system is designed to be failure tolerant and scalable even for large data masses.

Cloud platform choice and architecture planning
Advanced analytics tools

Advanced analytics tools

The project delivery included advanced analytics tools that make working pleasant and effective for VR’s data scientists. The solution utilizes AWS cloud’s capabilities and enables sufficient capacity even for heavy analytics use.      

VR uses the Microsoft PowerBI tool for internal reporting and for following their business operations. A real time data flow, directly from the source to the report, was implemented in the project. It enables using up to date knowledge for daily business decisions.

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