Technology & Innovation

In today's competitive landscape, companies need to optimize processes and improve product quality. Product Lifecycle Management (PLM) software provides an effective solution for managing complex product data and process automation. The integration of specialized connectors facilitates collaboration between teams, addresses industry-specific requirements and ensures data consistency, accelerating time to market.

In today's industry, project teams often face the challenge that diverse tools and data sources create communication silos that hinder progress. Data federation offers a promising approach to overcome these hurdles by enabling seamless access to information across system boundaries.

New technologies are constantly increasing the use of additional systems and apps. This leads to an increasingly complex IT landscape of unconnected data silos. They make it difficult to exchange correct data and therefore collaborate across departments in the development and production of mechatronic products. Here, you can find out how to accelerate and improve the quality of cross-system and cross-divisional collaboration.

In today's dynamic economy, industrial companies are constantly challenged to develop new creative solutions and optimize their operations. To meet rapidly changing customer demands, companies must ensure that they deliver products of the highest quality. This is where digitalization comes into play: it is proving to be a powerful tool for transforming product lifecycle management (PLM).

What is the difference between a data warehouse and a data lake? Can the advantages of both systems be combined? To what extent can a data federation be the better alternative? And how does the concept of Enterprise Application Integration (EAI) cover the topic of data integration? An attempt to explain.

New technologies are constantly increasing the use of additional systems and apps. This leads to an increasingly complex IT landscape of unconnected data silos. They make it difficult to exchange correct data and therefore collaborate across departments in the development and production of mechatronic products. Here, you can find out how to accelerate and improve the quality of cross-system and cross-divisional collaboration.

In many companies, product lifecycle management runs on local servers – especially in SMEs. On-premise solutions, however, are usually rigid, cost-intensive and not easily scalable. Reason enough to finally take a punt on an on-demand PLM solution. Integration solutions for many engineering tools already ensure convenient cross-domain management of product data and innovation processes in the cloud. 7 reasons for moving PLM to the cloud.

Smart processes help companies to be more economical, more competitive and more resilient. Manufacturing companies can significantly optimize their innovation processes to at least partially compensate for the shortage of skilled workers. In this way, they shorten their project lead times and reduce their opportunity costs. Digitized companies are particularly attractive for the next generation of skilled workers with an affinity for digital technology.

Do you remember the €9.00 ticket from Deutsche Bahn? That was great. However, if stations are temporarily closed due to overcrowded platforms and taking bicycles on board is no longer allowed, then there's something wrong with the overall package. Those affected experience frustration – a negative user experience (UX). The principle of "a well-thought-out overall package = a positive UX" can be transferred 1:1 to software applications.

The fact that a direct integration of EDA tools into a PLM system (Product Lifecycle Management) is designed from the outset to meet the typical requirements for data management and work processes in electronics engineering makes the work much easier. All users confirm this, regardless of which ECAD and PLM system they use and in which environment – on-premise or in the cloud.

Time is money. One strategy for achieving market maturity of innovations faster and better is the digitised value chain. The basis of end-to-end processes for all departments is automated engineering data. A central multi-CAD product lifecycle management system offers enormous potential for saving time and money.