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DataProbeETL™ Data Discovery

Unlock Insights from Enterprise Data for Smarter Access Governance

Discover. Transform. Govern.

DataProbeETL™ Data Discovery helps organizations extract, consolidate, and analyze data from multiple systems to drive smarter governance, detect access risks, and support compliance initiatives — all from a single, unified platform.

A discovery run extracts from every governed system on a schedule — users, roles and privileges from Oracle ERP Cloud; roles and authorizations from SAP S/4HANA; workers and assignments from Workday; and accounts and grants from custom applications. · Those separate schemas are deduplicated, normalized and enriched into a single governance dataset — one trustworthy dataset that governance can actually run on. · A scheduled discovery run loading Oracle ERP Cloud, SAP S/4HANA, Workday and custom applications into one unified governance dataset

Illustrative — example discovery run, not audited SafePaaS volumes

Why data discovery matters

Data fragmentation creates blind spots.

Enterprises often struggle with siloed data across ERP, cloud, SaaS, and custom systems. Fragmented identity and access data can hide governance risks and compliance issues.

DataProbeETL™

Consolidates data from multiple sources Cleanses and normalizes information for accuracy Enables actionable insights for access governance and risk management

Key outcomes

✓Gain a unified, trustworthy view of enterprise access data
✓Detect anomalies, excessive privileges, and segregation-of-duties conflicts
✓Accelerate governance decision-making with intelligent insights
Core benefits

Five capabilities, one unified platform.

Data Integration & Consolidation

Automatically collect and unify data from multiple systems, including ERP, cloud, SaaS, and custom applications.

Cleansing & Normalization

Standardize and deduplicate data to ensure accurate governance and risk analysis.

Actionable Analytics

Visualize risks, policy violations, and access trends to prioritize remediation.

Accelerated Governance

Reduce the time to detect and resolve access risks with ready-to-use datasets and analytics.

Support for Human & Non-Human Identities

Manage employee, contractor, bot, and service account data consistently for governance and compliance.

How it works

From raw data to intelligent governance.

Five stages, run on a schedule — so the dataset governance depends on is never stale.

01Data ExtractionPull access and identity data from ERP, cloud, SaaS, and custom systems automatically.
02Data TransformationCleanse, normalize, and enrich data for accurate reporting and analytics.
03Risk & Policy AlignmentAnalyze consolidated data against policies, segregation-of-duties rules, and role structures to detect violations.
04Actionable DashboardsVisualize trends, prioritize risks, and monitor remediation efforts with advanced reporting.
05Continuous Data RefreshKeep governance and analytics up-to-date with automated, scheduled data discovery.
Actionable analytics

Findings arrive unordered. They leave prioritized.

Once the data is consolidated, violations rank themselves by exposure — so remediation starts where it matters.

Findings surface in the order they are discovered, which is not the order that matters. · Each is scored for exposure and re-ranked into remediation order, so the highest-exposure violations are worked first. · The queue spans segregation-of-duties conflicts, excessive privileges, policy violations and anomalies, across SAP, Oracle, Workday and custom applications. · Findings re-ordered from the sequence they were discovered in into remediation order, ranked by exposure score

Illustrative — example findings and exposure scores

Customer success

Trusted by enterprises to unlock data-driven governance.

“DataProbeETL™ allowed us to consolidate fragmented access data and identify hidden risks — transforming how we govern identities and privileges.”
Frequently asked questions

What data teams ask first.

Access and identity data is pulled automatically from ERP, cloud, SaaS, and custom systems — the same set that normally sits in silos and hides governance risk.

Data is cleansed, normalized, and enriched — standardized and deduplicated so governance and risk analysis run on accurate inputs rather than conflicting extracts.

Anomalies, excessive privileges, and segregation-of-duties conflicts. Consolidated data is analyzed against policies, SoD rules, and role structures.

Yes. Employee, contractor, bot, and service account data is managed consistently for governance and compliance, on the same consolidated dataset.

Discovery runs automatically on a schedule, so governance and analytics stay current instead of reflecting the last manual extract.

Go deeper on data discovery

The full content cluster.

SilosWhat Siloed Access Data Hides ETLWhy Governance Needs Its Own Pipeline NormalizationStandardizing and Deduplicating Access Data
PrivilegeFinding Excessive Privileges at Scale SoDDetecting Segregation-of-Duties Conflicts RemediationPrioritizing Remediation by Exposure
Related AccessPaaS Intelligent Data Transformation MonitorPaaS™ SOX compliance
Are you ready to transform your access data into actionable governance insights?

Discover. Transform. Govern.

Consolidate, cleanse, and analyze enterprise data to detect risks and improve access governance.