Global Information Provider Partners with Acceldata

About The Customer

A global leader in commercial data and analytics, managing a vast database of over 600 million businesses across 250 markets worldwide. They have insights into trade payment experiences (200M with 2B updates per month), beneficial ownership (367M+ companies), corporate family trees (153M), and more.

• Multi-petabyte database  
• 500 million+ records on Google Cloud Platform (GCP)  
• Continuous processing and checks for 500 billion+ rows  
• Data validation based on 200+ rules

‍"Acceldata has revolutionized our data quality management, reducing processing times from weeks to hours. This efficiency enables us to proactively address data issues, ensuring our clients receive the most reliable information possible."

— Vice President of Data Quality Insights, Global Data Provider

The Problem

Siloed Data Quality: Without a central view, data checks were isolated across applications, creating inconsistencies, inefficiencies, and delayed issue resolution.

Slow Rule Execution: Legacy tools required developers for rule updates, taking over a month per change, causing bottlenecks and slowing decisions.

Scaling Limitations: With 500B+ rows, the system struggled to scale, delaying data onboarding and comprehensive insights.

High Processing Costs: Inefficient data processing consumed excessive storage and compute, raising costs without proportional gains.

Reactive Issue Resolution: Without proactive monitoring, customers found data issues before internal teams, risking compliance and reputation.

The Solution

Partnering with Acceldata, the Global Data Provider deployed a cutting-edge data observability platform to transform its data operations:  

• Automated Issue Resolution: AI-powered monitoring flagged anomalies and recommended fixes, reducing manual intervention and speeding up issue remediation.
• Scalable Processing & Performance: The platform efficiently handled growing data volumes (500B+ rows), ensuring scalability and faster insights.
• Self-Service Rule Creation: Empowered business analysts to autonomously write and deploy custom rules in SQL, Python, or Spark—reducing deployment time from over a month to under a day for simple rules, a 30x acceleration—eliminating IT bottlenecks.  
• Scalable Rules Library: Collaborated with Acceldata to build a reusable rules library, enabling efficient application of logical rules across 30,000+ sources from 220 countries, enhancing scalability and consistency.  
• Cost and Performance Optimization: Analytics and auto-actions identified inefficiencies, scaling performance for massive datasets while reducing infrastructure costs.

This multi-layer observability correlated insights across infrastructure, processing, and data layers, with an extensible library of auto-actions making the system self-healing.

Final Results

• Accelerated rule deployment, reducing processing time from over a month to less than a day. 
• Enhanced issue detection, cutting data quality issue identification time from 12 days to under 24 hours.
• Eliminated manual bottlenecks, enabling business analysts to create rules without IT intervention. 
• Scalability and Savings: Handled 500 billion+ rows seamlessly, optimizing performance and cutting costs at scale.

Through this collaboration, Global Data Provider has ensured the delivery of accurate and reliable data to its global clientele, reinforcing its commitment to excellence in data management.

Multi-Layer Data Observability

Enterprises often face challenges in managing and optimizing complex, large-scale data environments. Multi-layer data observability correlates information across infrastructure, platform, processing, and data layers to identify and alert on trouble spots, bottlenecks, and inefficiencies. Analytics and recommendations simplify remediation and administration. Acceldata provides an extensible library of auto-actions to make systems self-healing and self-tuning. The right data observability tools can significantly improve the reliability, performance, scale, and cost of enterprise data environments.

The Acceldata Solution

The Acceldata All-in-One Enterprise Data Observability Platform delivers improved reliability, performance, and efficiency of data processing at scale.

• Predict & Prevent Incidents
• Scale Performance
• Reduce Infrastructure Costs

Through its partnership with Acceldata, the Global Data Provider successfully transformed its data quality management processes, ensuring the delivery of accurate and reliable data to its clientele.