Making operational KPI’s work

Management Information Systems
Continuous learning loop

Making operational KPI’s work

Nowadays businesses generate huge volumes of data. In order to create business value from this, Lynxx believes that it requires robust, yet agile systems and processes, combining different data sets and identifying new business opportunities. We believe a Management Information System needs to be built in strong coherence with the business to discover the full potential. We deliver and we create ownership. Our method includes a change of attitude: in the operational process customer focus is key. Furthermore it includes a change of discipline: meet customer expectations every time, build a continuous improvement cycle, based on the facts.

Projects
Making data work by analysis

For complex business questions, we build data models to enable deep down analysis. This work needs creativity to combine various data sources in order to find ways to reduce cost and increase revenue. We do this for bids and for operations.

Projects
Making data work by analysis

Big data modelling
Deep down analysis

Machine learning

Building smart algorithms
Faster and more effective learning

Machine learning

Machine learning is the science of getting computers to act without being explicitly programmed. We use machine learning to explore big data sets and to find solutions for challenging problems. In the past we have for example combined the weather data with the punctuality of trains. By adding more and more data, some patterns are found. In this way the influence of snow fall on the punctuality of trains became more and more explicit and pinpointed.

OUR CUSTOMERS
ProRail
NS
Abellio
GVB
Connexxion
Go Ahead
Ministerie van Infra en milieu
NedTrain
Northern
Greater Anglia
ASR
China Rail
Keolis
London Midland
Merseyrail
MTR
National Express
NTA
Serco
SL
Virgin trains