Key highlights
70% effort reduction
In data reconciliation - improving operational efficiency
99% data accuracy
In customer data quality - enabling trusted decision making
200% ROI (projected)
Enabled through scalable, future-ready data platform
We partnered with a global digital communications enterprise to transform fragmented customer data into a unified, trusted asset to strengthen lifecycle management. By establishing a centralized data hub, AI-driven data quality framework, and automated workflows, we improved client data accuracy, enhanced governance, and reduced operational effort. This enabled real-time decision-making - driving operational efficiency and revenue growth.
Client overview
Transforming customer data to enable lifecycle intelligence and growth
A global digital communications leader operating a complex partner ecosystem across multiple geographies struggled with fragmented customer and partner data, which limited visibility, slowed decision-making, and drove operational inefficiencies. Manual reconciliation, inconsistent reporting, and data quality gaps further impacted customer experience and confidence in compliance.
Zensar’s brief: Steps taken by Zensar
Built a unified data layer ensuring integration, compliance, and lifecycle intelligence.
Established a unified data hub using Reltio MDM to create a single source of truth across customers, partners, and relationship hierarchies
Built real-time integrations with Salesforce, Oracle, D&B, and embedded AI-driven data quality (match/merge, deduplication, Business rule validation)
Enabled automated workflows and governance with role-based access, approvals, and audit trails to improve control and operational efficiency
Beyond the brief: How it helped the client
Streamlined operations and improved data reliability with a single source of truth
Strengthened compliance and control through robust governance, audit readiness, and standardized processes.
Enabled real-time visibility and faster decisions, accelerating lifecycle execution and revenue realization
Challenges
Disconnected data landscape and weak governance limited lifecycle visibility and growth
Siloed customer data across multiple systems was driving inconsistencies, manual reconciliation efforts, and operational inefficiencies. Data quality gaps and weak governance reduced reporting accuracy increasing compliance risk. Limited real-time visibility further constrained proactive lifecycle management, slowing decision-making, impacting customer experience and revenue growth.
Solution
Unified data foundation enabling lifecycle intelligence and scalable growth
We delivered an end-to-end unified customer data transformation using a Reltio-powered MDM platform to establish a single source of truth across systems. Real-time integrations and AI-driven data quality improvements increased accuracy, reduced manual effort, and ensured consistent, trusted data. Robust governance and workflow automation, combined with real-time insights, enabled proactive lifecycle management, faster decision-making and scalable growth.
Unified data hub
Centralized MDM platform establishing a single source of truth.
Integration architecture
Real-time synchronization across Salesforce, Oracle, and D&B.
AI-driven data quality
Automated match, merge, deduplication, and business rule validation.
Governance and automation
Streamlined approvals and data processing workflows with role-based access controls and comprehensive audit trails.
Business impact
Trusted data and real-time visibility powering lifecycle excellence and revenue growth
70% effort reduction
Improved operational efficiency
99% data accuracy
Enabled trusted insights
SOX Compliance
Reduced regulatory risk
200% ROI (Projected)
Driven by a scalable data platform
Business outcome
The unified, trusted data foundation elevated lifecycle maturity, reducing manual effort and improving data accuracy to boost productivity and decision confidence. Strengthened governance ensured compliance and risk reduction, while real-time visibility enabled proactive engagement and faster market response. The scalable data platform supported sustained growth and new integrations, delivering a projected ROI of ~200%.
Conclusion
This engagement demonstrates how a unified and trusted data foundation drives lifecycle excellence. By integrating fragmented data, enhancing quality with AI, and embedding scalable governance, we enabled a shift to a data-driven operating model. The result: Improved efficiency, stronger compliance, real-time insights, and a future-ready platform for sustained CPLM innovation and growth.