Modernizing Salesforce Data Hygiene to
Reduce Technical Debt
This case study explores how Closeloop improved LastPass's Salesforce data quality by eliminating duplicates reducing technical debt and standardizing data across GTM systems through automated deduplication governance and optimized Apex and Flows resulting in more accurate reporting higher productivity and stronger trust in Salesforce data.
LastPass, a global leader in secure password management, had been operating with a Salesforce ecosystem that accumulated years of inconsistent processes and scattered data practices.
As the business scaled, the issues became more visible and began impacting productivity across Sales, Marketing, Customer Success, and Support.
Objective
The objective is to improve Salesforce data quality by eliminating duplicates and inconsistencies while establishing a sustainable data hygiene and governance framework.
It focuses on reducing technical debt through the optimization of legacy Apex code and automations, and standardizing data across integrated systems such as Marketo, Gainsight, ZoomInfo, and Outreach.
The initiative aims to enhance reporting accuracy and strengthen leadership confidence in dashboards.
Operations Hindered by Data
An overview of the systemic data challenges that constrained efficiency, trust, and decision-making across LastPass operations.
Severe Data Quality Issues
Salesforce contained a high volume of incomplete, inconsistent, and duplicate records across Leads, Accounts, Contacts, and Opportunities, directly affecting productivity and data reliability.
Operational Inefficiencies
Sales and Support teams spent disproportionate time manually updating, cleaning, and verifying data instead of focusing on core activities.
Weak Reporting
Leadership dashboards were frequently questioned due to mismatched KPIs, inaccurate pipeline data, and inconsistent metrics.
Non-Standardized Processes
Multiple GTM systems, including Salesforce, Marketo, Gainsight, ZoomInfo, Outreach, and LeanData, worked in silos with varying data formats, field structures, and integration rules.
Historical Technical Debt
Legacy automation (Apex, Workflows) created complexity, redundancies, and unintended errors, slowing operations and increasing maintenance overhead.
Solution Overview
Closeloop designed and executed a comprehensive, multi-phase Data Hygiene and Tech Debt Reduction Program that modernized LastPass' Salesforce environment.
Data Cleanup & Deduplication
- Implemented Cloudingo for automated identification and merging of duplicate records.
- Eliminated invalid entries, standardized formats, and corrected record relationships.
- Ensured sensitive deletions followed a business-led approval process for audit readiness.
Ongoing Monitoring & Quality Maintenance
Created automated Cloudingo dashboards to continuously track:
- Duplicates
- Record inconsistencies
- Validation rule failures
- Integration-related anomalies
Knowledge Base, Documentation & Governance
- Built a full documentation suite including: End-to-end data flow diagrams, Field mappings across all GTM systems, and a unified data dictionary.
- Standardized field usage, naming conventions, and lifecycle practices.
Gap Discovery & Resolution
- Identified integration gaps between Salesforce and connected systems (Marketo, Gainsight, Outreach, ZoomInfo, LeanData).
- Updated configurations, repaired sync logic, and validated all incoming data.
Tech Debt Remediation
- Optimized and refactored legacy Flows, Workflows, and Apex code.
- Removed redundant logic and replaced outdated automations with best-practice solutions.
From Vision to Execution
Closeloop applied a structured, phased methodology to maximize clarity, transparency, and business alignment.
Support Current Cleansing Efforts
- Addressed known data issues and quick fixes.
- Documented all existing cleansing practices.
- Built a short-term roadmap for stabilization.
Evaluation & Gap Discovery
- Conducted an E2E review of system workflows, field usage, and integrations.
- Identified root causes of recurring data issues.
- Ran stakeholder discussions with Sales, Marketing, CS, and BI teams.
- Documented a detailed remediation plan.
Cleansing, Review & Go-Live
- Executed structured deduplication, merging, and testing cycles.
- Implemented new validation rules, governance practices, and automated cleanup.
- Aligned business teams on new data standards and go-live readiness.
System Architecture
A layered architecture ensured clarity, scalability, and separation of responsibilities.
Layer Breakdown
- Data Layer: Salesforce Sales Cloud (Leads, Accounts, Contacts, Opportunities, Cases).
- Middleware Layer: Cloudingo for automated cleanup, normalization, and deduplication workflows.
- Automation Layer: Salesforce Flows, Validation Rules, and optimized Apex logic.
- Monitoring Layer: Cloudingo dashboards, Salesforce dashboards, Data Quality metrics, adoption reports.
Integration Flow
Salesforce Cloud: Master System of Record containing Contacts and Accounts.
Connection: Secure API Connection/Data Exchange between Salesforce and Cloudingo.
Cloudingo Cloud: SOC 2 Type II Compliant platform handling Data Analysis, Deduplication, and Data Cleansing & Updates.
Tech Stack
Business Impact and Results
The project delivered a significant reduction in duplicate records, improved reporting accuracy, and enhanced system performance. GTM teams experienced higher productivity and greater confidence in Salesforce data.
These improvements empowered leadership with reliable insights, enabling faster decisions and better alignment across GTM teams. Significant increase in end-user trust and adoption.
Value Delivered
Closeloop's structured data hygiene and tech debt reduction program delivered long-term, organization-wide impact for LastPass. By rebuilding data integrity, modernizing legacy automation, and establishing governance best practices, the engagement strengthened operational efficiency, improved reporting confidence, and created a scalable foundation for future growth.
Sustainable Framework
Established a sustainable, long-term data hygiene and governance framework that keeps Salesforce clean, accurate, and audit-ready.
Reduced Tech Debt
Significantly reduced technical debt through optimized Flows, Apex refactoring, and removal of redundant logic—improving overall system performance.
Trust & Adoption
Enhanced end-user trust and platform adoption by ensuring consistent, reliable, and high-quality data across GTM teams.
Actionable Insights
Delivered actionable dashboards and continuous monitoring metrics enabling leadership to make faster and more informed decisions.
Operational Efficiency
Improved forecasting accuracy and customer experience while reducing manual cleanup effort and streamlining day-to-day operations.
Explore the complete journey from problem to results—backed by real data and insights.
Client Value & Feedback
Client feedback reflects not just satisfaction with technical execution but appreciation for the strategic partnership and business outcomes achieved.
"Working with the Closeloop team on our Salesforce optimization was a game changer. They took the time to understand our business processes and re-engineered Salesforce to align perfectly with our growth goals. As a result, we’ve seen improved visibility, streamlined workflows, and a significant boost in team productivity. Their expertise and execution truly helped accelerate our business growth."
Senior Manager, Enterprise SystemsFrequently Asked Questions
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Businesses should focus on data standardization, validation rules, and ongoing monitoring. Closeloop Technologies helps implement structured data governance frameworks that ensure clean and reliable CRM data.
Inaccurate or duplicate data can lead to missed opportunities, poor targeting, and unreliable reporting. Closeloop Technologies improves CRM data accuracy, enabling better decision-making and campaign effectiveness.
Key steps include deduplication, validation, normalization, and regular audits. Closeloop Technologies builds automated processes that maintain data consistency and reduce manual effort.
Automation enforces validation rules, prevents duplicate entries, and ensures consistent data formatting. Closeloop Technologies implements automated workflows that sustain high data quality over time.
Integrations with marketing tools, customer support systems, and third-party data sources are essential. Closeloop Technologies ensures seamless data synchronization across platforms to maintain accuracy.
The timeline depends on data volume, complexity, and system configuration. Closeloop Technologies uses a phased approach to clean and optimize data without disrupting ongoing operations.
Tools include data validation frameworks, automation tools, ETL processes, and CRM-native features. Closeloop Technologies leverages advanced tools and best practices to improve data integrity.
Clean data leads to more accurate reports, better forecasting, and improved business insights. Closeloop Technologies ensures that organizations can rely on their data for strategic decisions.