Download PDF
Scaling Up Data Efforts With LINK Mobility
Technology Category
- Platform as a Service (PaaS) - Application Development Platforms
- Robots - Wheeled Robots
Applicable Industries
- Automotive
- Transportation
Applicable Functions
- Logistics & Transportation
Use Cases
- Autonomous Transport Systems
- Transportation Simulation
The Challenge
LINK Mobility, Europe’s leading provider of mobile communications, wanted to scale up their data efforts in 2017. Their primary offering is mobile messaging services, sending over 6 billion messages a year worldwide. These messages carry invoices, payments, and vouchers, associated with a variety of services. This generates a lot of data, and LINK Mobility saw an opportunity to expand their offerings to provide more data-driven insight to customers surrounding the delivery and performance of their messages and services. They were looking to expand to customer dashboards and send additional offers based on that data. However, with just a one-man data science team at the beginning of the project, LINK Mobility needed to find a tool that would allow them to scale up data requests coming from inside the company and provide data insights to customers without having to use two different tools or platforms.
The Customer
LINK Mobility Group
About The Customer
LINK Mobility Group is Europe’s leading provider of mobile communications, specializing in mobile messaging services, mobile solutions, and mobile data intelligence. They offer a wide range of scalable services and solutions across industries and sectors due to the growing demand of digital convergence between businesses and customers, platforms and users. In 2017, they decided to scale up their data efforts both internally and externally with customers. Their primary offering is mobile messaging services, and they send more than 6 billion messages a year worldwide carrying invoices, payments, and vouchers, associated with everything from loyalty programs to delivery, bank, and flight services.
The Solution
LINK Mobility turned to Dataiku because of its ability to quickly facilitate the deployment of revenue-generating monitoring services to customers with a small staff. The LINK Mobility’s team completed their first data project in just seven months, which is half the time it would have taken without Dataiku. By using Dataiku, LINK Mobility is able to work with large amounts and diverse types of data, facilitate collaboration and internal communication between business teams and technical staff by providing a single platform in which both are comfortable working. They can easily reuse their previous work, showing how data is transformed in an intuitive way so that other team members can be onboarded easily and all data processes can be quickly explained. They can combine coding in notebooks with visual recipes to speed up analysis and use Dataiku as the go-to tool for any data needs.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Airport SCADA Systems Improve Service Levels
Modern airports are one of the busiest environments on Earth and rely on process automation equipment to ensure service operators achieve their KPIs. Increasingly airport SCADA systems are being used to control all aspects of the operation and associated facilities. This is because unplanned system downtime can cost dearly, both in terms of reduced revenues and the associated loss of customer satisfaction due to inevitable travel inconvenience and disruption.
Case Study
IoT-based Fleet Intelligence Innovation
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.
Case Study
Digitize Railway with Deutsche Bahn
To reduce maintenance costs and delay-causing failures for Deutsche Bahn. They need manual measurements by a position measurement system based on custom-made MEMS sensor clusters, which allow autonomous and continuous monitoring with wireless data transmission and long battery. They were looking for data pre-processing solution in the sensor and machine learning algorithms in the cloud so as to detect critical wear.