AI Portfolio
Use the possibilities of AI to make your SAP data analyses more efficient, precise and intelligent.
Key Challenges
Master typical challenges on the way to effective use of AI in analytics.
01
Lack of in-house expertise for applying AI in analytics
While companies recognize the potential of artificial intelligence in data analysis, they often lack the expertise to effectively design, implement, or assess AI-driven applications.
02
Limited capabilities of purely rule-based analytics
Traditional analytics approaches reach their limits when dealing with complex interdependencies, root causes, or hidden anomalies that rule sets fail to detect.
03
High manual effort due to recurring checks and false positives
Without learning systems, the analysis process remains time-consuming, especially due to the repeated manual checking of false positives.
04
Difficult access to relevant data from complex systems like SAP
Even with strong Data Science skills, many analytics initiatives fail due to the technical challenge of reliably extracting and preparing SAP data for meaningful use.
