Customer Success · Brand & Packaging
How 4DAlert Reshaped Data Operations for SGS and Co.
A leading global brand and packaging solutions provider operating in 20+ countries achieves 80% fewer data quality issues and faster global KPI reporting — powered by 4DAlert.
20+
Countries
80%
Fewer DQ Issues
100%
Auto Reconciled
Real‑time
KPI Reporting
Live · Data Quality Active
01
80% Reduction in Data Quality Issues
Automation and advanced quality controls led to a substantial 80% decrease in data quality problems, boosting reliability and operational efficiency.
02
Simplified Data Processing
Automation of reconciliation and monitoring reduced manual efforts, freeing up valuable resources and increasing overall efficiency.
03
Faster KPI Reporting
Reliable and timely data enabled quicker generation of global KPIs, facilitating more informed and agile decision-making.
SGS and Co., a leading global brand and packaging solutions provider operating in over 20 countries, faced major data management challenges. With a complex network of country-specific, home-grown ERP systems feeding data into an Azure data lake and Snowflake analytics platform, the company aimed to centralize data and generate global KPIs for daily operations. However, reconciling this diverse data landscape proved increasingly challenging, further complicated by frequent data quality issues.
Major gains from implementing 4DAlert at SGS and Co.
Challenge
The Challenge: Managing Data Quality & Integration in a Global ERP Landscape
SGS and Co. faced several critical challenges across their global operations:
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Diverse ERP Systems — Various home-grown ERP systems with different technologies made data integration and reconciliation complex and resource-intensive across 20+ countries.
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Frequent Data Quality Issues — Common problems included outliers, incorrect file formats, late file arrivals, structural inconsistencies, long processing times, incomplete datasets, and erroneous master data.
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Operational Delays — These issues caused delays in generating global KPIs, affecting timely decision-making and overall business performance across all regions.
Data reconciliation from source to target or between any layers
Solution
How 4DAlert Made a Difference
To tackle these challenges, 4DAlert's data reconciliation, data quality, and data observability solutions were implemented — integrated directly with SGS and Co.'s existing Azure data lake and Snowflake analytics platform.
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Automated Data Reconciliation — Deployed 4DAlert to fully automate reconciliation processes, significantly reducing manual tasks and human error across all ERP sources.
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Quality Rules Implementation — Established a comprehensive catalog of data quality management and reconciliation rules to ensure accurate, consistent data across all systems.
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Real-Time Alerts — Set up real-time monitoring for data quality issues, schema changes, pipeline performance, and late file arrivals — ensuring timely detection and resolution.
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Data Observability & Pipeline Monitoring — Continuously monitored data pipelines to ensure smooth operation and timely data flow, addressing issues before they impacted business operations.
DAMA Data Quality Checks and DQI Score — quality by object, system, KPI details and drill-downs
"Managing and reconciling data across our diverse ERP systems was a major challenge. Persistent data quality problems led to delays and impacted our ability to make timely decisions."
Jason Sullivan
Business Intelligence Head, SGS and Co.
Streamlining data operations — 4DAlert's step-by-step approach for ERP systems
Results
The Result: Reliable Data at Global Scale
The implementation of 4DAlert delivered measurable, lasting improvements across SGS and Co.'s entire data operations, from data quality to KPI delivery speed.
80%
Fewer Data Quality Issues
Automation and quality controls reduced data quality problems across all ERP sources and layers.
100%
Automated Reconciliation
All data reconciliation between ERP systems, Azure data lake, and Snowflake is now fully automated.
20+
Countries Covered
Unified data quality monitoring and reconciliation across all global country operations.
Real‑time
Global KPI Reporting
Timely, reliable data now enables daily global KPI generation for faster, smarter decisions.
Data reconciliation between source system and target — powered by 4DAlert AI & ML
4DAlert CI/CD pipeline — Source Systems (JSON, CSV, Oracle, APIs) → Azure ADLS → Snowflake
About the Product
4DAlert: Your Solution for Effortless and Accurate Data Reconciliation
4DAlert helps organizations of all sizes streamline their data processes by integrating AI and machine learning to automate data reconciliation, data quality, and data observability. It ensures smooth integration whether data resides in the cloud or on-premises.
Whether you're managing complex multi-ERP environments or monitoring pipelines across dozens of countries, 4DAlert delivers the control and visibility you need to keep data operations running without disruption.
See 4DAlert in Action
Ready to eliminate data quality issues and automate reconciliation at scale? Start your free trial and experience the difference today.
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