Customer proximity





Customer proximity:
insight helps you
understand your customers better

From big data
to smart data

Big-data ecosystems and predictive analytics bring companies closer than ever to their customers. Intelligent combination of data from several sources helps manufacturers gain new data-supported customer insight. The knowledge this brings serves as the basis for product development and customer retention. Data helps to improve existing products and develop new ones tailored to the behaviour and needs of users. Swisscom's experienced experts help you use intelligent algorithms to turn big data into smart data. We make sure that you can predict your customers' behaviour and needs more accurately. These data-supported insights can then be used to develop smart products that serve your customers faster and better than competing products.


The latest articles for you

Victor Schlegel interviewed about the Big Data



more than in 2014: Swiss companies have together already invested more than CHF 149 million in big-data initiatives this year.

MSM Research, 2015

By 2020

some 200 billion objects will be online. Even so, the key aspect of the Internet of Things is data, not things.

Forbes, 2015


of German companies use digitisation to cut costs. Experts think smart data can have an even greater impact on new products and customer interfaces.

Roland Berger, 2015

Network production – retain customers.


Bernhard Lenzin, Head of Industrial Industries Swisscom Enterprise Customers: How machine data will bring you closer to your customers

The Smart Enterprise ecosystem

Our services for greater proximity to customers

Smart Analytics Enablement

We use Smart Analytics Enablement to define with you which data provides you with business-relevant insight about your customers. Together, we analyse your current and potential areas of business. Smart Analytics Enablement comprises:

  • Defining the right questions
  • Evaluating internal, external and historic data
  • Using sensor technology, ERP and social media channels to collect structured and unstructured data
  • Integrating expert knowledge and research
  • Transmitting and consolidating the data in the data pool

A roadmap with data types and architecture

A sound investment plan

An overview of growth and optimisation potentials

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Predictive maintenance in five steps

Our expert paper explains in five easy steps how predictive maintenance can help you do far more than prevent outages. The well thought-out structure of the technology platform enables you to gain decisive competitive advantages, even in the implementation phase.

Lessons learnt: Tips on the road to becoming a smart enterprise

The six most important tips collated for you from the experience gained in our pioneering projects. The focus is on better products, customer-friendly services and digital business models.

Co-creation: joining forces for a smart enterprise

The best ideas arise when people from different fields exchange ideas. In our co-creation workshop, you'll develop solutions for the networked world together with your customers and lateral thinkers from unrelated sectors.

Download paper

Download lessons learnt

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Find out about the solutions we use to help you