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Innovation

What analytics solutions does s-peers innovation offer? In which topics can this department help me? These and more questions will be answered on this page.

Data is the gold of the 21st century 

The employees in the Innovation department support you in implementing SAP solutions to integrate the advantages of today's technologies, such as AI/ML, Predictive Analytics, Customer Analytics and Data Mesh into your company. 

Efficient planning and forecasting for sales and demand

By evaluating historical data, future developments can be predicted precisely. This allows companies to better plan their sales and demand and react more quickly to changes.

Strategic advantages through predictions

Data-driven predictions help in making well-informed decisions, providing companies with a distinct competitive advantage.

Avoid bottlenecks and optimize processes

Through forward-looking analyses, weak points can be identified and eliminated early on, before they lead to inefficiencies or bottlenecks.

Wide range of applications

Whether it's machine maintenance, personnel planning, or risk assessment, Predictive Analytics offers a wide range of applications in various industries.

In the area of innovation, we are the specialists for all topics related to AI/ML, Predictive Analytics, Customer Analytics, Data Mesh and the implementation of the corresponding technologies.
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Head of Innovation

"In the field of innovation, we are specialists in AI/ML, predictive analytics, customer analytics, data mesh and the implementation of the corresponding technologies. My team and I look forward to hearing from you and working with you to take your company from the fourth to the fifth age of technology."

Dr. Eric Trumm, Head of Innovation

Eric Trumm is Head of Innovation at s-peers AG
Dr. Eric Trumm
Head of innovation

Our specialization in innovation

We specialise in the following solutions:

AI/ML

Leverage the potential of automated decision-making processes based on extensive data analysis.

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Predictive Analytics

Make well-informed predictions based on historical data to optimize your business strategies.

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Customer Analytics

Understand your customers better through detailed analyses and targeted evaluations.

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Data Mesh

Create a flexible and scalable data infrastructure for your company.

Checklist s-peers AG

Important terms on the topic of Industry 4.0

The Internet of Things (IoT) describes a network of objects that interact with their environment, exchange information with each other and pass it on to IT systems. For data processing, this means more efficient company processes through data linking.

The term Industry 4.0 refers to the fourth industrial revolution, which is to be achieved through extensive digitalisation. The focus is on the beneficial intelligent networking of processes, machines and products with the help of modern communication and information technologies. It involves the merging, networking and use of new and established technologies. Implementation takes place across the entire value chain.

A real-time evaluation basis is made possible with the digital twin.
This allows production-relevant data to be linked directly with business data in order to use it for process optimisation.

In the context of Industrie 4.0, the digital twin describes an exact data-based copy of the physical object. In the digital twin, the analogue and digital worlds become one, allowing simulations, controls and improvements to be carried out without great effort.

No matter what the problem - we customise the solution for you!

Innovation can be applied to almost any problem and topic with your individual technologies. We continuously support you with the following services:

Real-time data about the production process 

The rapid development of information and communication technology enables manufacturing companies to collect real-time data on the production process of industrially manufactured goods through the intelligent networking of people, machines and processes and to evaluate it using Industry 4.0 technologies.

Maintain competitive advantage and capability

A holistic approach to linking production data enables companies to gain a competitive advantage or maintain their competitiveness. Due to the increasing demands on product quality and individuality, the demand to be able to react quickly and dynamically is growing.

Hybrid approaches

We are also happy to offer hybrid solution approaches based on proven onpremise system landscapes.

Know what's happening on the topic of

Data & Analytics

is running!

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HOW WE WORK

Further workshops at s-peers AG

Data workshop

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Reporting workshop

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Data Science Workshop

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Have we sparked your interest?

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Dr. Eric Trumm

Head of innovation
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