1%
Data quality boost
4.3M
Defects deleted
Unified data platform
Future-ready automation
The challenge
Automating disorganized data flows & manual compliance processes
An electronics industry giant struggled with inconsistent data management practices, leading to widespread problems including inaccurate invoices and delayed payments. Their manual data quality and compliance framework was labor-intensive, error-prone and unscalable. This eroded financial accuracy and customer satisfaction, weakening their competitive position in a rapidly evolving industry.
Key challenges
Fragmented, siloed and inaccurate data
Error-prone invoicing and payment delays
Manual compliance processes ill-adapted to increasing complexity
Losing ground to digitally transforming competitors
The solution
Automating data management for speed and precision
Core data engine
Hadoop-powered processing
Configurable data rules
Fast defect detection
Dynamic dashboard
Intuitive QlikSense insights
Real-time KPI tracking
On-demand reporting
Implementation approach
1
Back-end setup
Hadoop & Qlikview core
Optimized parallel processing
Data extraction & preparation
2
Front-end integration
QlikSense app generation
Streamlined user interfaces
Minimized manual intervention
3
Quality transformation
Rapid defect resolution
Continuous KPI monitoring
Future-ready scalability
The impact
Transforming data quality with automated insights
Operational efficiency
1%
Data quality lift
Decreased manual overhead
Error-free invoices
Quicker payment cycles
Error elimination
4.3M
Records corrected
Rule-based defect detection
Consistent compliance
Reduced rework costs
Scalability gains
↑
End-to-end big data platform
Adaptive dashboards
Agile KPI tracking
Future-ready system
Looking ahead
Dynamic rule evolution
Scaling automation to tackle complexity
Data unification
Creating a single source of truth globally
Responsible AI practices
Ensuring trust through transparency
