Megaladata Data Quality

Management

Megaladata Data Quality is an automated system for obtaining clean, standardised and unified customer information as quickly as possible. It is designed for CDI (Customer Data Integration) and MDM (Master Data Management) systems.
Organisations often struggle with inconsistent, fragmented, or error-prone customer records due to multiple data sources, manual entry mistakes and disparate systems.

Without standardized, high-quality data, effective CRM and informed decision-making are impossible.

How it works:

Consolidates customer data from files, databases, web services, and business applications (CRM, core banking, Excel, 1C, Oracle, MS SQL).
Cleans, standardizes, and enriches data to resolve errors, inconsistencies, and gaps
Identifies and targets duplicate records using exact and fuzzy matching
Produces and maintains a unified, verified customer profile (the "golden record").

Ideal for:

Banks and financial institutions requiring accurate, deduplicated client profiles for lending and complianc
Retail and FMCG companies managing large customer databases across multiple touchpoint
Telecom and insurance providers aggregating client data from fragmented system
Any organisation seeking to eliminate data errors and build reliable master data

With flexible ETL configuration, pre-built validation rules, and a fuzzy deduplication engine, Megaladata Data Quality creates a single source of truth for every customer.

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Data Consolidation

Integrates customer data from files, databases, web services and business apps (CRM, core banking, Excel, 1C, Oracle, MS SQL). ETL processes run on schedule from multiple sources and output to one or more targets.

Data Cleaning & Standardisation

The system detects and corrects operator typos, resolves transliteration errors, validates dates and other numeric attributes All attributes are split into components, brought to a unified format, and parsed according to validation rules.

Data Enrichment

Restores missing postal address components, determines document type and region from document codes, identifies gender, and enriches client and company profiles from third-party services.

Features

Database Verification

Updates databases against proprietary reference directories, validates phone number ranges and their country/city/operator attribution, and checks against external sources (invalid IDs, sanctions lists, company data and other third-party services).
Deduplication & Golden Record

Identifies duplicate records using exact and fuzzy matching. The system suggests “golden record” profiles and flags borderline cases for manual review by data stewards.
Unified Customer Profile

Manages the full lifecycle of merging fragmented data into a single representation, establishing relationships between records to ensure consistency across the organization.
Online & Batch Processing

Supports real-time interaction via web services and scheduled batch processing with flexible output configurations.
Supported Data Entities

The system handles: full names, phone numbers, emails, identity documents, organisation names, dates, postal addresses, and banking/tax IDs.
Duplicate Search

Identifies clients across internal and external sources using smart matching that tolerates typos, with configurable strategies for attribute combinations and similarity percentages.
Cost Reduction

Lowers expenses by ensuring marketing and communications reach the right targets. It also reduces the manual effort needed to maintain a unified database.
Low-Code Configuration

Built on Megaladata’s flexible platform, the master data management logic can be configured and modified with almost no coding.

Vendor

Megaladata

Deployment time: Pilot project available on request.

Megaladata is a low-code data analytics platform company headquartered in Yerevan, Armenia. The company develops tools for businesses and data professionals who need speed, flexibility, and efficiency in working with data. Megaladata Data Quality is one of their specialised solutions built on top of the Megaladata core platform, targeting master data management, customer data integration, and data governance use cases.

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