Total Enterprise Data Unification

Total Enterprise Data Unification into One Global View

Consolidate fragmented data across global subsidiaries into a master data hub, establishing governed golden records and privacy-compliant cloud analytics lakes for the whole enterprise.

The Master View

Managing multiple NetSuite instances or disparate CRM systems across regional subsidiaries makes a single source of truth almost impossible. We deploy Master Data Management (MDM) hubs to unify your customer, vendor, and product records into clean, validated golden records. By building automated verification pipelines and privacy-compliant cloud analytics datastores, we keep your enterprise data unified, trustworthy, and audit-ready.

The Old Way

Fragmented Reality

The Intelegencia Way

Unified Enterprise

Global Data Silos
Master Data Hub
Inconsistent Master Data
Global Standard reporting
Conflicting Regional Reports
Real-Time Multi-Region View
Complex Reconciliation
Automated Reconciliation
No Global User View
360-Degree Entity Health

Master Data Management

We implement Master Data Management hubs that serve as the single source of truth for your customers, products, and vendors. Our systems extract record data across all regional subsidiaries, resolving schema variations and spelling errors along the way. The hub continuously updates these golden records so your sales, billing, and supply chains all operate with identical data.

Global Schema Standardization
Multi-Entity Consolidation
Cross-Platform Deduplication
Master Record Stewardship
Compliance Sync (GDPR/CCPA)
Master Data Management
Governance That Outlasts the Project

Governance That Outlasts the Project

Data unification quickly decays without clear operational ownership. We help you establish the data governance frameworks that keep the integrity of your golden records intact. We set up data-quality scorecards, document data lineage, and configure change controls on the master schema. This structure keeps your datasets clean and reliable as each new system is integrated.

Data Ownership Model
Quality SLAs & Scorecards
End-to-End Lineage Tracking
Master Schema Change Control
Stewardship Training & Playbooks

Data Lake & Warehouse Architecture

To unlock the full value of unified data, organizations need robust analytical environments. We build enterprise data warehouses and analytics lakes using Snowflake, BigQuery, or Databricks that integrate directly with your MDM hub. This lets analysts build dashboards, run queries, and train machine learning models without ever impacting the performance of your live transactional databases.

Cloud Data Warehouse Setup
ETL/ELT Pipeline Design
Data Lake Governance
Self-Service Analytics Layer
Cost Optimization & Partitioning
Data Lake & Warehouse Architecture
The Master Stack

Unification Units

Four pillars that unify global operations: golden records that become your verified source of truth, entity mapping that connects subsidiaries into one org chart, data standardization that fixes regional formatting automatically, and compliance bots ensuring global sovereignty rules are met.

Golden Record

The single verified version of every data point.

Entity Mapper

Unifying your subsidiaries onto one chart.

Standardizer

Automatically fixing regional data formatting.

Compliance Bot

Ensuring global data sovereignty rules are met.

Compliance & Data Privacy at Scale

Compliance & Data Privacy at Scale

Handling enterprise customer data across international regions demands strict compliance with local privacy laws. We automate GDPR delete requests, CCPA data-inventory logs, and data-residency routing rules. Our architectures keep sensitive customer records within their regional data boundaries while logging every access to provide complete audit trails for regulatory compliance reviews.

GDPR Right-to-Delete Automation
Data Residency Mapping
Access Control & Audit Trails
Privacy Impact Assessments
Consent & Preference Management
The Core

Our Unification Flow

Five steps that move you from fragmented subsidiaries to single global view, covering landscape audit, schema standardization, master data hub deployment, enterprise data cleanse, and live sync.

1

Landscape Audit

Mapping all subsidiaries and their local systems.

2

Schema Sync

Designing the universal data standard for the org.

3

MDM Deployment

Setting up the 'Master Hub' for the golden records.

4

Data Cleanse

Global deduplication and normalization run.

5

Live Sync

Connecting all local nodes to the global core.

Measured Performance. Proven Growth.

0%
Data Consistency
0%
Reporting Speed
0%
Duplicates
0%
Compliance Risk

Frequently Asked Questions
About Total Enterprise Data Unification

Here you will find answers to questions we get asked the most about our offerings.

We use 'Zero-Knowledge' sync where local PII stays in-region while unified metadata travels to the global hub for reporting.

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