Product and material
Improve your operations, value-adding use cases and compliance
Top 5 product/material pain points related to data quality issues
Poor customer experience
Customer experience suffers because e.g., unreliable product and material attributes impair search results, personalized recommendations, offers, …
Risky obsolescence management
Expensive and risky obsolescence management, spare parts supply and inventory management caused by incomplete master data or wrong entries and duplicates
Inefficient
processes
Inefficient procurement processes as product data is poorly maintained, resulting in a lack of transparency on supplier performance, quality, delivery times, pricing, …
Flawed pricing strategy
Flawed pricing strategy and cost predictions when product and material characteristics bias optimization and prediction models
Compliance
and legal issues
Compliance issues due to violation of regulatory standards and industry requirements, e.g., inadequate labeling, safety standards, ESG reporting
01
How the DQ Platform supports
Identify data issues
Smart, automated Data Quality rules checking for anomalies, such as missing values, duplicates/typos, inconsistencies, etc.
02
Improve data
Integrated workflow and support for data corrections and improvement directly in source systems.
03
Ensure data quality
Issue prevention directly at the source, e.g., in the ERP (SAP or other core systems).
Optimized internal Operations processes with reliable data
+20-25% increased employee productivity by saving time
Up to 10% revenue uplift by enabling value-adding use cases