Core AI Enablement
AI has long been more than just a tool for automating individual processes. Your true potential lies in being holistic future technology to enable new business models and drive innovations forward sustainably.
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Data, processes and organization as a scalable basis for the future.
Create added value - measurable and prioritized.
Quick wins and long-term goals for maximum investment security.
AI: More Than Just a Short-Lived Trend
Real AI is becoming the new foundational technology –are your data and processes AI-ready?
AI in Product Content Management
Hype or real disruption?
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AI is about much more than process automation – it's about systems that can learn, adapt and take on demanding tasks. However, exploiting this potential requires a solid database, well-thought-out processes and a clear strategy. Our experts will help you make your data, processes and organization fit for AI and thus set the course for greater profitability, productivity and efficiency.
Individual strategies instead of standard solutions
AI means disruptive changes in the way we work and communicate with each other. The requirements for data storage, processes, business rules and regulations are also changing drastically. For companies, this means that they need a clear transformation strategy based on their individual use cases. With our proven 6P model, we offer an optimal methodological framework for such a transformation strategy and start every AI project with an in-depth analysis of the relevant use cases, taking into account your goals, the business impact and the profitability of the project. In addition, we work together to promote the development of competence centers in your company with a proactive and sustainable transfer of know-how and, with our comprehensive AI expertise, are available to advise you on any issue.
Get ready for the future
Once the use cases have been defined, we will check the suitability of your data for the respective use cases. Each case has specific requirements for the type, quality, structure, and governance of the data. Only when data domains are consistently set up, processes coordinated and systems are cleanly integrated is there a reliable foundation for the successful use of AI. Building on this, AI elements can be implemented in a targeted manner – from initial pilot projects with clear business benefits to scalable solutions that create added value across the organization. In addition to technical architecture, we also consider key aspects such as data quality, security & compliance, model governance, change management and team training. This ensures that AI not only brings selective improvements, but is also sustainably integrated into your added value as a strategic tool.
Autonomous Control Requires Structure
The structured world of Master Data Management (MDM) is the starting point for AI.
With its integrative approach, multi-domain MDM forms the basis for a scalable and intelligent cross-system architecture that can be controlled decentrally via APIs and thus enables intelligent data logistics for the implementation of AI. Our MDM experts support you in your MDM initiative with a wealth of experience and best practices and thus create the perfect basis for your AI projects.
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Data Governance
How to implement sustainable data governance
Why Quality-Assured Master Data Increases Your AI Value.
Data quality is the prerequisite for successful AI projects – but what exactly is it measured by?
AI can only bring real added value if the data that drives it is of the right quality level. We help you define the right level of AI readiness and implement it into your master data processes using data governance and automated validation rules. This is because every inaccuracy and error in your database leads to deviations in AI processes and results. The larger these inaccuracies become, the greater the discrepancy between the expected and actual work results of your AI tools.
Digital Commerce
What really matters
No Optimization Without Analyzing Big Data.
Sustainable business is agile and must constantly adapt to new information situations.
Big data in the context of Product Experience Management (PXM) describes the consolidation of data from various sources to measure feedback on and the performance of product messages in the market. Our data experts develop effective data flows and applications that provide real-time insights that enable you to continuously optimize your product content. Dedicated AI tools take on this task and ensure increased performance in your output channels with quality improvements and enhancements of product information.
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