Polus™ OPS transforms messy, inconsistent marketing and sales data into a single, reliable source of truth that powers every campaign, forecast, and deal cycle.
Built with RevOps intelligence and governed automation, Polus OPS validates and unifies every record before it reaches your CRM, MAP, or BI system, so you can target precisely, forecast accurately, and trust every metric that drives growth.
How is your data looking these days? Don’t leave it to chance.
“Dirty” data leads to inaccurate segmentation, mistargeted campaigns, and wasted ad spend, driving up CAC and lowering ROI. In fact, Dun & Bradstreet estimates $611B in annual waste.
Datagence unifies data across every marketing and revenue system, CRM, MAP, ERP, and media platforms to eliminate duplicates, fix inconsistencies, and standardize data to ISO 8000, ANSI, or company-specific requirements.
The outcome? Marketing teams execute precise targeting with trusted data, campaigns perform predictably, and customer acquisition costs fall as ROI rises.
32% of revenue leaders identify inaccurate data as their biggest reporting challenge (Forrester), and nearly half of new records contain at least one critical error (Harvard Business Review).
Through a continuous data-health assessment and automated quality engine, Polus OPs detects, cleanses, and validates data in real time before it enters core systems. Reliable, governed data streams flow into BI, CRM, and financial reporting tools with consistency.
The outcome? Leadership gains confidence in every metric, forecasts become accurate, decisions become data-driven, and board-level reporting earns credibility.
With 120+ martech and revtech tools in the average enterprise stack (Scott Brinker, Martech 5000), data becomes fragmented, duplicated, or lost between systems
Datagence connects over 800 pre-built APIs to unify account, contact, and transaction data into a single, continuously refreshed master dataset. Standardized records are automatically redistributed back to each system, maintaining alignment across every team and process.
The outcome? Sales, marketing, and customer success operate from one reliable source of truth—closing gaps, capturing revenue faster, and strengthening operational efficiency.
Regulatory non-compliance costs organizations an average of $5.87 million per incident (IBM), and fines for violations such as GDPR or CCPA can reach 4% of annual revenue.
Polus OPS features a built-in data-governance framework with role-based and attribute-based access controls, consent tracking, and audit-ready lineage. The platform enforces compliance with global standards like GDPR, CCPA, and HIPAA, ensuring only authorized users access personal or regulated data.
The outcome? Businesses mitigate legal exposure, maintain full regulatory compliance, and protect brand integrity while operating with transparent, trusted data.
80% of AI project time is spent on data cleaning (MIT Sloan), and dirty data reduces automation efficiency by up to 30% (McKinsey).
Datagence’s AI-ready data pipelines continuously cleanse, validate, enrich, and standardize records across all martech and revtech platforms. Every dataset entering automation workflows meets strict quality thresholds, ensuring precision inputs for machine-learning and analytics models.
The outcome? AI systems perform at peak accuracy, personalization scales intelligently, and automation investments deliver measurable revenue lift instead of rework.
See how Polus OPS delivers the accuracy your GTM teams need to plan, perform, and prove revenue impact.
