Data architecture and data engineering

Holistic data engineering to implement your data strategy

From the data strategy to data governance, successful data management is crucial if you would like to create genuine added value with analytics and AI. With holistic data engineering, we lay the foundations for your success. We provide the necessary data infrastructure, connect data sources and lay data pipelines. Our expertise in data engineering and DataOps guarantees sustainable implementation and low-maintenance operation.

Our data management solutions – from the data strategy to the infrastructure

Analysing needs

Performing a detailed analysis of business requirements and creating precise specifications, including evaluating the IT landscape during migrations.

Drafting architecture

Developing robust data architecture, conducting feasibility studies and creating data governance concepts for information security and data protection.

Developing in an agile way

Building a lakehouse, modelling data and developing data pipelines, all adapted to suit your specific needs.

Making decisions in real time

Integrating business intelligence software such as Power BI, Tableau and Superset to support data-driven decisions.

Defining the migration strategy

Planning and performing data migrations from existing systems – for seamless implementation.

Providing support in the long term

Ensuring smooth operation, even in the long term, with DataOps, monitoring and maintenance.

Dr. Wilhelm Kleiminger from Ergon Informatik

“The era of big data treasure hunting is over. Data should be generated, collected and processed with care in order to create a meaningful and reliable foundation for the use of data-centred AI.”

Wilhelm Kleiminger Head of Data Science, Ergon

The benefits of data engineering with Ergon

  • More than 40 years of experience with data projects in a range of sectors

  • Complete service from business analysis to operation

  • Full flexibility during technology selection, from open source to cloud data platforms

  • Suitable solution, from complex batch processing for demand forecasting to real-time streaming in the IoT segment

  • Sustainable, scalable solutions thanks to DataOps

  • Secure and compliant with data protection requirements as set out in the General Data Protection Regulation (GDPR), the revised Swiss Federal Act on Data Protection (nFADP) and industry standards

Unleash the potential of your data: chat to our experts about your data strategy and infrastructure.

Data as a driving force for growth and innovation: why data engineering is absolutely essential

Why is solid data engineering even necessary?

Both the availability and the quality of data is crucial to the success of a data project. With a modern data infrastructure, data pipelines for preparing relevant data and a carefully thought-out governance concept, data engineering brings genuine added value through data. With our data engineering service, we take into account aspects like data protection, data security and compliance with the General Data Protection Regulation (GDPR) from the very beginning. So you have complete control over your own data at all times.

What are my options when building my data infrastructure?

Nowadays, there is a whole myriad of options available, from finished platforms like Databricks and Snowflake to combinations of different cloud services and newly developed individual solutions based on open source technology. It is usually worthwhile trying out existing solutions first of all before developing your own. We will help you find the right solution.

In addition to the data infrastructure, what else do I need for holistic data engineering?

So that you can make full use of data, in addition to the infrastructure, you also need the data pipelines and processes that ensure data constantly flows to the right target systems. Having the right data governance concept also makes it easier to responsibly collect, prepare, distribute and use data across organisational units, all the while ensuring compliance with the relevant internal standards.

How can I achieve good data governance?

In a best-case scenario, data engineering also clearly models your business objects and defines precise roles, processes and responsibilities within the company. We work together with the consulting team as needed to give you expert advice on topics like data strategy and data governance. So you get absolutely everything you need from a single provider.

document.addEventListener("DOMContentLoaded", function (event) { var form = document.querySelector('form#data-foundation'); if (form) { form.addEventListener('submit', () => { sessionStorage.setItem('form-id', 'b6e100ee-3426-4b0b-a4ed-86af3924da9d-erg-form'); }); } var id = sessionStorage.getItem('form-id'); if (id) { var elem = document.getElementById(id); if (elem) { elem.scrollIntoView(); } sessionStorage.removeItem('form-id'); } });

We look forward to hearing from you

Thank you for your interest in our AI services! Take the opportunity for a coffee chat with our experts to discuss your project ideas and questions. Tell us more and we will get back to you as soon as possible.

Privacy

Please review our Privacy Policy to find information about how we protect your privacy. This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Other services

AI & Machine Learning
Secure competitive advantages for your company with Ergon through AI, machine learning and deep learning.
Speech Recognition
Speech-to-text and speech AI: utilise the next generation of speech recognition with Ergon.
Generative Artificial Intelligence
Use generative artificial intelligence (AI) to boost profits and discover your specific AI potential with Ergon.