SOLUTIONS

Aligned Automation deployed a comprehensive data quality modernization solution combining automation, AI-driven cleansing, and governance frameworks to directly address post-acquisition fragmentation, predictive capabilities, entitlement accuracy, serialization complexity, and compliance gaps:

• Automation & AI-Driven Cleansing: Implemented machine learning algorithms in Service Delivery Repository (SDR) to automatically detect anomalies, validate entitlements, and standardize asset records. The system processed millions of asset records daily, applying intelligent rules to identify and correct data quality issues while learning from historical patterns to improve accuracy over time, reducing manual data cleansing efforts by over 80%.
• Governance Framework & KPIs: Established governance across Asset Data Quality, Entitlement Accuracy, Party Address Validation, and Dual Serialization with measurable KPIs and automated compliance reporting. The framework created clear ownership and accountability across teams, with real-time dashboards providing executive visibility into data quality metrics and automated alerts flagging compliance risks before they escalated.
• Cross-System Integration & Predictive Intelligence: Connected SDR with ERP, order management, PLM, CRM, and asset hierarchy platforms with telemetry-based monitoring for proactive issue identification. Advanced API integrations enabled seamless data flow across systems, while predictive analytics identified patterns that signaled emerging problems, allowing teams to intervene before issues affected customer experience.
• PointNClick Tool for Asset Correction: Deployed user-friendly BI workflow for executive visibility and equipped support teams with PointNClick tools to rapidly correct fragmented or damaged assets.

BUSINESS OUTCOMES

• 25% Improvement in Asset Integrity: Automated data cleansing and AI-driven validation processes resolved data quality challenges across the global install base, eliminating fragmented data and ensuring accurate entitlement tracking. Machine learning algorithms continuously monitored asset records across all platforms, proactively identifying and correcting inconsistencies before they impacted customer service delivery.
• 45% Faster Issue Resolution: Predictive intelligence and real-time dashboards empowered proactive problem identification and rule-based remediation, reducing manual intervention and accelerating support workflows from 2-3 days to less than 24 hours. AI-powered anomaly detection identified potential service issues before customers reported them, enabling support teams to resolve problems proactively and dramatically improve customer satisfaction scores.
• Unified Asset Visibility & Compliance: Cross-system integration bridged legacy and modern platforms, providing seamless entitlement tracking, dual serialization alignment, and automated audit trails that meet governance standards across all operations. Real-time synchronization across ERP, CRM, and service delivery systems eliminated data silos, ensuring every stakeholder had access to accurate, up-to-date asset information for informed decision-making.