The importance of technical debt analysis
Nowadays, it is almost inevitable that companies make compromises when developing their IT infrastructure. Quick fixes are often favored to address urgent issues or introduce new features. This leads to technical debt. This “legacy debt” slows down a company's efficiency, ability to innovate and competitiveness in the long term. This article therefore explains what technical debt is, how to identify and prioritize it, and what steps are necessary to reduce this debt.
Facts and figures: Successful technical analysis
In increasingly data-driven business environments, technical analysis plays a central role in decision-making and process optimization. Companies that analyze data effectively can make more informed decisions, identify problems faster and take advantage of opportunities sooner. But what makes a successful technical analysis and how can companies ensure they are making the most of their data? This blog post looks at how companies can increase their efficiency and innovation through structured technical analysis.
Transformative change through process re-engineering
Process optimization and detailed process analysis are important steps on the way to increasing efficiency in companies, as discussed in previous blog posts. But what happens when small adjustments are no longer enough? Sometimes radical business change requires an even more in-depth approach: process re-engineering. This blog post shows how companies can implement transformative change through process re-engineering and the benefits of this approach. We tie in with the topics of efficiency improvement and data integration to illustrate how profound process re-engineering can lead to ground-breaking results.
Increasing efficiency through detailed process analysis
Efficiency is a crucial building block when it comes to doing your homework in terms of innovation capability. Companies that continuously analyse and optimise their processes can therefore make better use of their resources and reduce costs. Detailed process analysis is the key to these improvements. This blog post therefore looks at how companies can achieve significant efficiency gains by systematically analysing their processes, following on from the topics of process optimisation and data integration discussed in the previous post.
Reality check: Optimised processes and data integration for successful innovations
So-called leap innovations divide our world into a before and an after. They form the basis for a society's prosperity. The latest innovation of this kind from Germany is the MRNA vaccine from Biontech. Artificial Intelligence will also produce many leap innovations. But true innovation is no coincidence - it requires careful preparation. Sustainable innovation is hardly possible without optimised processes and seamless data integration. This article therefore explains why companies need to do their homework in these areas in order to create something truly new.
First comes the housekeeping, then the innovation
Innovation is the key to the long-term success of companies. However, before organisations invest in breakthrough innovations, they must first do their homework, particularly in the area of digitalisation. This article therefore sheds light on the importance of housekeeping in the digital sphere and how companies can strengthen their ability to innovate by optimising their processes and integrating data.
The importance of Artificial Intelligence for creativity and innovation
In our last blog post, we looked at the extent to which Artificial Intelligence can be used to create content for election campaigns. But are these results really creative or can AI produce real innovations at all? The following blog post examines the capabilities of AI in the field of creativity, identifies its limitations and shows how it can support humans in creative processes.
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