AI-assisted business analysis: How LLMs are changing the discovery process
AI-supported business analysis is rapidly becoming a central component of modern digital transformation projects. Large language models (LLMs) show enormous potential, particularly in the discovery process, i.e., the early phase of requirements gathering, in which needs, goals, and system limitations are clarified.
The AI revolution in business: Why open-source models are changing your strategy
The landscape of artificial intelligence (AI) is changing. While proprietary AI solutions have long dominated the market, open-source models are rapidly gaining importance. They not only offer companies powerful alternatives, but also decisive advantages in terms of data protection, cost efficiency, and strategic control.
The AI revolution in business: Why open-source models are changing your strategy
The landscape of artificial intelligence (AI) is changing. While proprietary AI solutions have long dominated the market, open-source models are rapidly gaining importance. They not only offer companies powerful alternatives, but also decisive advantages in terms of data protection, cost efficiency, and strategic control.
Scalable data provision: From SAP legacy to modern system architecture
Data moves more than vehicles – a look behind the scenes of a special project
What happens when a critical data provision application at a major car manufacturer needs to be placed on a new technical foundation – and that in the middle of ongoing operations?
How To Embed AI into Business Strategy
When developing, adapting or installing a new software solution, many teams only test at a late stage. As a result, errors that arise during development remain undetected for a long time – which makes the correction considerably more expensive. In short: the earlier an error is detected, the cheaper it is to rectify.
Agile test management
When developing, adapting or installing a new software solution, many teams only test at a late stage. As a result, errors that arise during development remain undetected for a long time – which makes the correction considerably more expensive. In short: the earlier an error is detected, the cheaper it is to rectify.
Beyond the dashboard: How a human-centered data strategy is transforming NHS performance
Right, let’s get straight to the point. The National Health Service (NHS) is inundated with data. We’re talking about really huge amounts of data every day. And this data? It’s not just numbers; it’s the key to better patient care, smarter resource allocation and improving the health of, well, everyone.
Success factors for BI projects – the dos and don’ts in BI project management
BI projects are often accompanied by special requirements and therefore require a special approach. In this article, we reveal how you can adequately take these into account in project management and master them using our success factors.
29FORWARD modernizes bank data analysis
The 29FORWARD team was faced with the task of integrating a data warehouse based on Data Vault for a bank in North Rhine-Westphalia. The task was to optimize the historically grown system, with many modules added over time, with regard to data analysis.
A world full of KPIs
Continuous development, profit increase and improvement – these terms are indispensable in today’s business world. Companies analyze and evaluate their performance in order to achieve their goals and increase their competitiveness. Key performance indicators (KPIs) are essential for making corporate success measurable.
