How Swiss Firms Turn Data into Competitive Gains

There is incredible potential in company data if it is used with the right approach and tools.

The following five real-life cases show how various Swiss companies have realised added value with data platforms.

Whether as a web application or internal platform, modern data platforms enable deeper insights, more efficient processes and more targeted customer service, including economies of scale.

Case Study 1 – Insurances:

Identifying customer expectations early on and anticipating market developments

A thorough understanding of customer expectations forms the basis for competitive offers. This is particularly true in dynamic markets such as the insurance industry and is much easier with good data management.

Mobiliar has fully digitised its data management with Datahouse. Since then, it has been able to analyse customer behaviour and market opportunities more precisely and make well-founded decisions. ‘Datahouse works extremely professionally and delivers high-quality results,’ says Michelle Gruner, Head of PM Mobility. Whether collecting data or processing it, Datahouse’s business intelligence expertise makes it the ideal partner to support the digitalisation of data management.

Find out how Datahouse ushered Mobiliar into the digital age.

Case Study 2 – Logistics:

Optimise routes, reduce transport costs, evaluate performance

Data not only enables market understanding, but also internal process optimisation.

Truckwatch, the central planning and monitoring platform from Datahouse, creates transparency for scheduled journeys: real-time information on positions, arrival times and delays helps to avoid empty runs and reduce transport costs. Another advantage is the ability to analyse the performance of drivers and subcontractors.

These benefits not only enable short-term operational adjustments, such as rescheduling in the event of short-term cancellations, but also create a sound basis for long-term decisions regarding fleet planning or the selection of logistics partners.

Find out more here: Tardiness is not a question of time

Case Study 3 – Swiss Trade Statistics:

Accelerated data entry and customised evaluations

Since 1946, Swiss Trade Statistics has been collecting data from 7,000 companies from over 90 sectors every year. With the user-friendly Datahouse web platform, the survey is now carried out digitally: validations, annual comparisons and input aids make data collection easier.

The statistics include balance sheets, profits, personnel and much more.

A particular advantage lies in the individual evaluability: member companies can analyse their key figures themselves, tailor-made and efficiently.

Previously, if companies wanted to generate customised findings, they had to invest time and resources themselves. Today, this is done with just a few clicks thanks to the interactive report editor, according to Markus Helbling of BDO Zurich: “Datahouse has provided us with a very intuitive solution in a modern design.”

Find out more here: Trade statistics

Case Study 4 – Banks:

More efficient processes and personalised consulting at ZKB

Precision is a must in the banking world. At the same time, there is increasing pressure to provide customers with efficient and personalised service. This is precisely where Zürcher Kantonalbank (ZKB) has come in – with a solution that combines streamlined processes with better advice.

With the Advisory Portal, a platform was created that structures, automates and centralises internal information flows between the Investment Solutions team, which develops investment products, and the customer advisory service, which sells them. This means that all information on investment products – including market conditions and customised investment proposals – is available at all times.

And this in turn allows for much more personalised support for customers while significantly reducing the error rate.

‘The client advisor should spend as much time as possible with the client and not with inefficient tools,’ explains Claude Pape, Head of the Investment Solutions team at ZKB.

The Advisory Portal serves as a central information hub and data hub. The platform reduces the susceptibility to errors in communication, reduces the processing time for advice and at the same time increases the quality of the customer experience. The result: higher quality advice with less effort, a foundation for scalability.

Find out more here: Investment Portal: Efficient, inter­active, web-based publi­cation of data-intensive content

Case Study 5 – Real Estate:

Customers configure their flats themselves

The real estate industry has long been characterised by physical viewings, extensive coordination and long sales cycles. Today, digital tools can be used to make these processes much more efficient and at the same time take the customer experience to a new level.

One example of this is Datahouse’s apartment configurator: a digital platform on which buyers can help design their future property themselves – from the kitchen to the flooring and bathroom fittings.

This digital participation has several advantages:

• • For buyers, it creates a stronger emotional commitment as they are actively involved in the process.
• • For developers, the effort and time involved in the sales process is reduced, as many votes are made directly via the platform.
• • For the management, the system offers new insights into the preferences and behavioural patterns of the target group: Which features are preferred? Which combinations are frequently chosen? Such findings will flow into future projects.

The result: faster sales processes, fewer vacancies, greater customer satisfaction and a new quality of interaction in property sales.

Find out more here: Apartment Configurator – Design your dream home

Get the most out of company data with Datahouse

Whatever your industry, find out how to turn company data into strategic advantages. Arrange a free consultation with Datahouse.

Datahouse advises companies on how to turn their own data into a strategic advantage. Because we are not only data specialists, but also develop software, we can offer a tailor-made solution for every organisation.

Datahouse’s clients are from the retail, finance, banking, insurance, real estate, logistics and public sectors. Datahouse was founded in 2005 as an ETH spin-off.