LufthansaHeiko Merten, head of Global Sales Business Intelligence Applications, Deutsche Lufthansa AG says, “The aviation industry is moving from transporting people from point A to B to offering additional services.” Lufthansa has moved from the traditional sales organisation to one that reaches out to customers with personalised offers.
Internally, it has created centralised business intelliegence teams that work for different commercial units. “The data comes from different sources and airlines and has to be consolidated. So we need to put in a lot of effort in aligning different definitions for the same concept. For instance, different airlines have their own definition of ‘revenue’ and this must be standardised,” he says.
Lufthansa Group has chosen the Teradata Travel & Hospitality Data Model as a critical enabler to set the ground for a new powerful performance management for commercial units such as sales, revenue management, network, controlling and marketing.
Volvo GroupJan Wassén, Director, Driver Interaction & Entertainment, Volvo Car Corporation, who heads the analytics initiatives at the company, says, “Volvo has been using data and sensors in its vehicles for a long time.” The carmaker’s strategy is to build a set of services around the driver or the customer. It is considering bespoke services for customers. “One service that we are considering is electronic maps. The sensors around the car will pick up data from the road and create the map. This is a big task,” says Wassén.
It is typical for Volvo customers to browse the Volvo website, choose their cars and pick their customisation. All clicks and actions on the Volvo site are captured and correlated with connected car data, to understand customer journeys and customer sentiment. Sensor data combined with diagnostic data and warranty claims are used for parts failure prediction. It can also be used for planning future car designs and new features. All this is powered by the Teradata Aster database and analytics solution.
SiemensEstablished three years ago, Siemens Mobility Services focuses on data-driven services and data analytics, particularly for rail vehicles and rail infrastructure.
Gerhard Kreß, Director Data Services, Siemens AG says, “The idea is to move away from these fixed preventive maintenance schedules into more fluctuating schedules based on the condition of different components.”
Siemens Mobility has been quite successful in the areas of predictive maintenance;it has predicted almost every failure for customers like Deutsche Bahn. It has also responded to a tender from Indian Railways for similar services. Siemens predictive analytics has reduced the total cost of ownership of the asset significantly.
