Outcreating Customer Data Quality and Governance for Improved Business Trust and Customer Engagement

Our Client

The client is a leading North America-based construction materials manufacturer focused on strengthening customer engagement, sales effectiveness, and operational efficiency. Recognizing that inaccurate and fragmented customer contact information was limiting business performance, the organization embarked on a strategic initiative to establish a trusted, high-quality customer data foundation across its Customer Relationship Management (CRM) and Customer Data Management (CDM) landscape.

Industry Trends

Customer-centric organizations increasingly recognize data as a strategic business asset. Clean, accurate, and governing customer data is critical for effective sales engagement, targeted marketing campaigns, personalized customer experiences, regulatory compliance, and reliable business reporting.

As enterprises accelerate their digital transformation journeys, modern Customer Data Management platforms are becoming essential for maintaining data quality, eliminating duplicates, and creating a single, trusted source of customer information. Organizations that invest in data governance and master data management gain higher user trust, improved operational efficiency, and better business outcomes.

Challenges

The client faced several challenges including:

• Inconsistent and Incomplete Contact Data: Customer records contained missing, outdated, and invalid information, including inconsistent phone numbers, email addresses, and business attributes, reducing the effectiveness of customer interactions and reporting.
•  Duplicate Contact Records: Years of acquisitions, legacy system migrations, and inconsistent data-entry practices resulted in duplicate customer records, creating confusion across sales, service, and marketing teams.
• Legacy Data Quality Issues: Historical conversion activities introduced large volumes of obsolete, inactive, and low-quality records, making it difficult to distinguish trusted contacts from inaccurate data.
• Limited Data Governance Controls: The absence of automated validation, monitoring, and enrichment mechanisms allowed poor-quality data to persist and re-enter the system over time.
• Reduced Confidence in CRM Data: Sales, marketing, and customer service teams lacked confidence in the available customer information, leading to inefficiencies, duplicate outreach efforts, and inconsistent business decisions.

LTM Solution

LTM partnered with the client to execute a comprehensive customer data quality and governance transformation initiative aimed at creating a trusted customer master data foundation. Key aspects of the solution included:

• Extensive data profiling and assessment to identify invalid records, duplicate contacts, incomplete attributes, and legacy conversion issues affecting overall data quality.
• We developed a structured remediation strategy to cleanse, standardize, validate, and govern customer contact information across the CRM and CDM environments.
• We systematically corrected invalid email addresses, phone numbers, job titles, naming inconsistencies, and formatting issues while eliminating obsolete and low-value records.
• Advanced data quality controls were established to improve consistency and maintain data accuracy over time.
• To address the duplicate-contact challenge, we configured intelligent deduplication and survivorship rules that automatically identified, merged, and retained the most trusted customer information.
• Automated daily duplicate monitoring and merge processes were implemented to prevent future duplication and maintain long-term data integrity.
• To ensure sustainable governance, we also developed data quality dashboards, monitoring reports, and ongoing data-management processes that provide continuous visibility into data health, trends, and improvement opportunities.
• The result was a trusted, governed customer data ecosystem capable of supporting customer engagement, reporting, analytics, and future digital transformation initiatives.

Business Benefits

The solution led to several benefits for the client including:

Trusted Customer Data Foundation

• Established a cleaner, more reliable customer contact database across CRM and CDM environments. It increased the reliability and consistency of customer data.
• Improved confidence in customer information used for sales, marketing, service, and reporting activities.
• Created a single trusted source of customer contact data for better reliability and consistency.

Significant Data Quality Improvement

• Removed approximately 163,000 invalid records, reducing overall contact volume by 43% and significantly improving data quality.
• Achieved 98% overall data-quality improvement through cleansing, standardization, and validation initiatives.
• Corrected email addresses, phone numbers, names, job titles, and other critical customer attributes.

Enhanced Data Governance

• Configured intelligent deduplication and survivorship controls to maintain trusted customer records.
• Automatically merged more than 6,000 duplicate contacts, improving data consistency and reducing redundancy.
• Implemented automated daily duplicate monitoring to prevent future data degradation.

Improved Business Productivity

• Reduced manual effort associated with identifying, correcting, and managing poor-quality customer information.
• Streamlined customer-facing processes by providing accurate and complete customer records.
• Improved data accessibility and usability across business functions.

Better Sales, Service & Marketing Outcomes

• Increased trust in CRM and CDM systems for customer engagement and decision-making.
• Improved reporting accuracy and customer insights.
• Enabled more effective sales outreach, service interactions, and marketing campaigns through better customer intelligence.

Conclusion

LTM helped the client transform fragmented, inconsistent customer information into a trusted enterprise asset through a comprehensive data quality and governance program. By combining large-scale data cleansing, standardization, deduplication, survivorship management, and continuous monitoring, the organization successfully eliminated longstanding data-quality challenges while establishing a sustainable framework for ongoing governance. More importantly, it restored business confidence in customer data, strengthened decision-making, improved customer engagement effectiveness, and established a scalable foundation for future growth, analytics, and digital transformation initiatives.