Data Analytics - predictive solutions

Digitalisation is changing the face of industrial production – in addition to the continuous flow of data from development to after-sales service, communication and interaction are now central to success.

With recent innovations in artificial intelligence, the Internet of Things, and virtual and augmented reality, the number of potential applications has exploded. Networked systems can manufacture goods with astounding efficiency and help to exponentially increase quality. This provides companies with opportunities to unlock new markets, but the security challenges presented by such systems are enormous. It is therefore essential to understand production risks and ensure that every aspect of cybersecurity is covered.

by Benjamin Müller
Senior Business Development Manager Manufacturing

ELCA Informatique SA develops tailored industry solutions for manufacturing and helps clients to boost productivity and efficiency. When developing these solutions, ELCA focuses on integrating the entire value chain – from initial contact with the customer to the supply chain and customer service – into a single, continuous process. ELCA is the leading provider of customer relationship management (CRM) solutions for sales and marketing, and solutions for after-sales service. The company also has the expertise and experience to support clients with every aspect of data analysis, data management strategies, CRM, cloud services, security solutions, processes and collaboration.

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Predictive solutions

Predictive solutions use integrated data processing to calculate the requirements of units or the development of elements within the system to provide information that allows sales and production to make pre-emptive decisions and eliminate the need for after-sales service before it arises. This reduces costs and enables companies to use the data to optimise and even automate the routes and work schedules of service technicians, which has a positive impact on the environment as well as the bottom line.

 

Users employing predictive solutions benefit from complete transparency with regard to the various platforms, allowing them to improve specific areas of the customer experience.

Predictice maintenance

SBB, the Swiss national railway company, runs a busy 6,000-kilometre rail network that costs CHF 800 million a year to maintain. The predictive solution ELCA designed for SBB optimised the maintenance of the network with digital technologies and modern data analyses that are capable of predicting where maintenance and repairs will be required. This minimises the costs of repairing faults in the network, improves the safety of the infrastructure and minimises the risk of accidents. ELCA collaborated with the infrastructure experts at SBB to create the data lake and analysis models that were required to develop this solution.

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Contact: Benjamin Müller

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