Our local AI platform
Corevance DataCore: SAP data quality that never leaves your environment
Our in-house local AI platform profiles, validates, cleanses and transforms your SAP SuccessFactors and S/4HANA migration data — running 100% inside your own environment. No uploads. No cloud. No PII ever leaves your network.
Runs entirely on-device · GDPR-aligned · Built for SAP migrations.
Why local
Most data-quality tools send your data to the cloud. Ours doesn't. Every check runs locally, on your data, inside your environment — giving you enterprise-grade quality with complete privacy.
Runs in your environment
On-premise or in-tenant; no data sent to any external cloud.
No PII leaves your network
Every record is profiled, cleansed and transformed locally.
Audit-ready & GDPR-aligned
Full traceability and data-residency compliance built in.
The five-step data workflow
From first profile to final reconciliation — every step runs inside your environment.
Discover & Profile
Understand your HR and master data before you touch it.
- Instant data health check with column-level quality scoring — completeness, validity, uniqueness and consistency.
- Full statistical profiling reports and auto-generated data dictionaries with AI-inferred descriptions.
- A searchable catalogue tracking data-quality trends across every migration dataset.
Diagnose & Analyse
Find the issues that break go-lives.
- Pattern and mixed-format detection with plain-language on-device AI explanations.
- Outlier and anomaly detection, both statistical and AI-driven.
- Gap analysis surfacing missing required SuccessFactors fields before load.
- Data lineage tracing each field's origin and transformation.
Clean & Repair
Fix data at scale, automatically.
- AI-assisted cleansing with smart standardisation.
- Self-healing rules and automated correction pipelines.
- Missing-value imputation, statistical and AI-based.
Transform & Standardise
Shape legacy data to the SAP target model.
- Data type, date/time and format standardisation.
- SAP address mapping — legacy fields to the SAP address model: street/house number, city, region, postal code, country.
- AI transformations via natural-language commands, plus schema/field mapping, column splitting and formula-based derived fields.
Reshape, Match & Combine
Reconcile across systems.
- Fuzzy and exact matching and deduplication of employee, customer, vendor and material records.
- Joins and cross-dataset comparison between legacy and SAP, with match statistics.
- Pivot and aggregation reporting for reconciliation.
Built for SAP SuccessFactors & S/4HANA migrations
Generic tools miss the SAP-specific errors that stall cutovers. Ours is purpose-built to catch them.
- Pre-go-live validation of SuccessFactors (Employee Central, ECP) and S/4HANA migration data
- Business Partner (BP) conversion validation
- Unit of Measure (UoM) consistency checks
- SAP address-model mapping
- Master data completeness, duplicate and cross-table consistency checks
- Mapping and transformation error detection before load
- Format validation for emails, phone numbers, IBANs and other structured fields
Validation & governance
Beyond migration, the platform supports ongoing data validation, governance rules, reference data and quality-over-time scoring — so your SuccessFactors data stays clean long after go-live.
How it fits your programme
Our senior consultants run the platform on every engagement — accelerating profiling, mapping, transformation and validation while keeping your data fully protected.