From DALL-E with some prompting The image depicts a “Service Cycle” comprising several phases in a service’s lifecycle. These phases are visually represented and include “Design,” “Build constructions,” and “Operation management.” Additionally, the cycle includes “Commissioning” and “Continuous (sustainable) Maintenance & Upgrade” stages, emphasizing the ongoing process of maintaining and upgrading services. The flow of information through “Configuration Data,” “Operation Data,” and “Data Analysis” is also presented, highlighting the importance of data in managing and improving service operations.
From DALL-E with some prompting The image emphasizes the importance of data quality in the digital transformation of large-scale operations. By securing “Data Quality” through data standardization, optimized operations based on verified data enable reliable decision-making, monitoring, and optimization. AI-enhanced analysis and optimization accelerate business transformation, drive data-led innovation, and achieve sustainable operation and customer satisfaction.
Data Standardization: Emphasizes the importance of “Data Quality,” indicating that high-quality, standardized data is foundational.
Operation based on verified data/system: Shows the use of verified data to ensure reliable decision-making, monitoring, and optimization, leading to sustainable operations, business intelligence, and customer satisfaction.
Accelerating (AI) digital business transformation: Describes how optimized and customized processing, along with an AI data analysis platform, can accelerate digital transformation. This leads to work automation, user customization, resource optimization, data-driven innovation, AI predictions and analytics, and expanding standardization.
The overall message suggests that standardizing data quality is crucial for building AI systems that can drive digital transformation and improve business operations and customer satisfaction.
Lechuck Park 