PRODUCT

Data Profiler

For data quality assessment and correction using

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eQube®-Data Profiler (DP) helps enterprises understand, qualify, and prepare data across multiple systems before it is migrated, integrated, or consumed, ensuring transformation decisions are based on facts rather than assumptions.

See the truth about your data, across systems

eQube®-Data Profiler analyzes data semantically, not just structurally, to uncover quality issues, anomalies, similarities, and differences across heterogeneous systems. By understanding business concepts like part even when they are modeled differently across applications, it exposes hidden inconsistencies early, helping eliminate blind spots, reduce transformation risk, minimize migration and integration surprises, and enable confident decisions built on trusted data insights.

Fix data issues and keep quality under control

eQube®-DP goes beyond discovery to enable automated data repair, governed business approvals, and continuous quality monitoring. Data issues are reported through eQube®-BI, corrected in memory, approved by business users, and reliably pushed back to source systems, supporting faster and lower risk transformations while sustaining data quality and reducing ongoing operational cost and rework.

USE CASES

  • De-Risk Migration & Integration
  • Automated Data Repair & Quality Monitoring
  • Cross-System Data Comparison & Consistency
  • Master Data Management & Governance

  • Clean up legacy data before migration

  • Identify data quality and semantic risks early

  • Drive informed configuration and business decisions

  • Reduce migration failures and downstream rework

  • Automatically detect and correct data issues

  • Apply governed business approvals for repairs

  • Continuously monitor enterprise data health

  • Replace one-time cleanup with a sustainable process

  • Compare data across systems, BOMs, and attributes

  • Run real-time or scheduled data comparisons

  • Identify inconsistencies and anomalies early

  • Maintain consistency across enterprise systems

  • Control and track changes to master data

  • Audit data modifications across systems

  • Merge datasets with full traceability

  • Maintain compliant and trusted master data

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KEY CAPABILITIES

Profile Data Instantly Across Systems
Analyze enterprise data directly from source systems using standard connectors, in real time or on a schedule.
Auto-Discover Data Structure and Patterns
Identify data classifications, value lists, patterns, and anomalies without manual exploration.
3. Detect Duplicates and Similar Records
Cluster and group data using advanced algorithms to uncover duplication, similarity, and hidden relationships.
Validate Data with Business Rules
Apply rule-based checks to identify inconsistencies, gaps, and governance violations early.
Compare Data Across Applications
Directly compare data across multiple systems to expose differences before they impact downstream processes.
Snapshot and Audit Data Over Time
Capture, lock, and compare datasets over time with detailed audit trails and trend visibility.
7. Monitor and Repair Data Continuously
Continuously monitor data quality and apply governed corrections based on business rules.
8. Deploy Fast with In-Memory Web Architecture
Get started quickly with a web-based, in-memory thin client built for rapid time to value.
Leverage Unified Analytics and ML Foundation
Built on the shared eQube®-BI and eQube®-ADA foundation, enabling interactive analytics, advanced ML-driven discovery, and enterprise-grade scalability.

Why customers choose eQube®-DP

Enterprises choose eQube®-Data Profiler because it goes far beyond traditional data profiling. Instead of stopping at diagnostics, eQube®-DP enables a complete, governed approach to understanding, repairing, and continuously monitoring data quality. By combining deep semantics, advanced analytics, and business-driven governance, it turns data quality insights into actionable outcomes for migration, integration, and ongoing operations.

Purpose-Built for Complex, Engineering-Led Enterprises

Built for Transformation, Not Just Profiling
Designed to de-risk migration and integration programs, not merely report data issues.
Understands Business Meaning, Not Just Fields
Qualifies shared business concepts across systems, even when they are modeled differently.
Business-Governed by Design
Data quality decisions, approvals, and accountability stay with the business, not just IT.
From Insight to Action in One Flow
Turns profiling insights directly into repair and transformation decisions without tool handoffs.
Quality as a Continuous Discipline
Moves data profiling from a one-time project activity to an ongoing enterprise capability.
Tracks Quality Trends Over Time
Monitors improvement and regression to prevent recurring data issues.
Methodology-Driven and Migration-Ready
Aligned with the I-E-T-L-V approach to ensure predictable, auditable transformation outcomes.
Unified Analytics and ML Foundation
Built on the eQube®-BI and eQube®-ADA platform for deeper insights and augmentation.
Enterprise-Grade Without Enterprise Overhead
Delivers scale, security, and performance without data replication or heavy infrastructure.
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