Data matching services

Eliminate data silos and unlock strategic insights. DoubleData delivers high-precision enterprise data matching services, forging a unified data foundation crucial for large-scale operations, advanced analytics, and competitive agility.

Andrew contact photo
Talk to an expert
Unlock the power of data
Book A Session
Decoration hero image

We scrape data from over 5 000 sources

Capabilities

Data Matching: the key to data clarity and actionable insights

Data matching, often referred to as record linkage or entity resolution, is the process of identifying, linking, and merging related records that correspond to the same entity across one or more datasets. Even if records don't have a common unique identifier or contain variations in spelling, formatting, or completeness, advanced data matching techniques can uncover these connections. Dedicated data matching services, enable companies to:

Unify product data

Synchronize product data across systems and partners to ensure consistent listings, accurate inventory, and efficient collaboration

Merge customer data

Consolidate fragmented customer data from different systems into a single, unified profile for better personalization and marketing.

Leads matching

Connect leads from various databases and platforms to unify contact information, improve targeting, and accelerate sales conversion.

Remove duplicates

Eliminate duplicate records across customers, products, or transactions to improve data quality and streamline operations.

Market reporting & benchmarking

Unify data from multiple sources for market insights, competitor analysis, and performance benchmarking across platforms.

Enrich data with external sources

Enhance your data by linking it with third-party or partner datasets for a more complete customer or product view.

Map data between systems

Align and transform data formats across CRM, ERP, and other tools for seamless integrations and data flows.

Enable real-time personalization

Leverage unified data to deliver personalized experiences, recommendations, and offers at scale.
USE CASES

Explore our capabilities across industries, and teams

Filter success stories by vertical, use case, or department to find the scenarios that match your needs. Learn how enterprises leverage our custom scraping, matching, and infrastructure to solve their toughest data problems.
Show 300+ more
CHALLENGES

Why unmatched data undermines your enterprise strategy

For large organizations, data disparity isn't just an inconvenience - it's a strategic roadblock. You're likely grappling with:
Lack of standardization

Lack of standardization

Many companies don’t provide standardized identifiers like EANs or SKUs. For example, Coca-Cola might be listed differently across stores, with different images and descriptions. This makes it impossible to automatically monitor products or prices.
Manual data cleaning

Manual data cleaning

Different naming conventions and inconsistent formats mean that analysts and data scientists waste valuable time manually reconciling and cleaning data instead of focusing on analysis and strategic projects.
Duplicates in CRM

Duplicates in CRM

Without a consistent data entry process, different users may enter the same information in slightly different ways. This leads to duplicate records, complicates reporting, and confuses teams that rely on accurate data for their work.
High technical requirements

High technical requirements

Effective data scraping and matching require specialized technical skills that your in-house team may not always have. This can limit your ability to scale and execute data-driven initiatives quickly.
99.93%
Data Accuracy
We rigorously cross-check every dataset across multiple sources to ensure entity-level precision. No duplicates, no mismatches - just clean, usable data.
15B+
Data Points Extracted
Our infrastructure handles massive data volume. From granular app content to multi-layered e-commerce listings - at true enterprise-grade scale.
99.89%
System Uptime
Data flows shouldn't stop when your market moves. Our pipelines are designed for high availability, constant monitoring, and instant recovery.
4.2TB+
Processed Monthly
We process and normalize terabytes of structured data every month, optimizing for schema consistency, transformation accuracy, and downstream usability.

Get your free data audit now

Identify gaps and optimize your web & mobile data pipeline. It's completely free and without obligation. Fill out the form below and our team will reach out to schedule your audit.

Your company e-mail *

Your phone number *

PROCESS

DoubleData's approach to enterprise data unification

Our methodology ensures clarity, control, and optimal outcomes for your enterprise.

1

Strategic Deep Dive

We collaborate with your stakeholders to understand strategic goals, data sources, existing pain points, and define clear KPIs for the matching initiative.

2

Custom Matching Blueprint

We architect a bespoke matching strategy, defining entities, key identifiers, advanced rule-sets (including sophisticated fuzzy matching), and tailored validation protocols for your enterprise data.

3

Data Cleansing

Your data is meticulously cleaned and prepared to ensure the highest quality input for the matching engine.

4

Matching Execution

Leveraging our robust infrastructure (industry dedicated ML-algorithms), we process and match your data with precision, ensuring security and compliance at every step.

5

Rigorous Validation

We perform comprehensive quality assurance, including exception handling and iterative refinement, to meet the stringent accuracy demands of enterprise applications.

6

Seamless Integration & Delivery

We deliver production-ready matched data for integration with your target systems (data warehouses, MDM hubs, analytics platforms) and ensure your team understands the solution.

7

Continuous Governance & Optimization

We offer ongoing support for match rule evolution, periodic data refresh, and performance optimization to ensure sustained data integrity as your business evolves.

WHY US

Types of data matching scraping

Dedicated data matching services stand out because they combine accuracy, automation, scalability, and speed. Unlike manual approaches, they don’t drain valuable analyst time. Unlike in-house tools, they don’t require constant maintenance. And unlike generic ETL platforms, they’re purpose-built for efficient, enterprise-grade matching.

Pros

Cons
Manual Matching➕ No upfront costs
➕ Easy to start with small datasets		➖ Very time-consuming
➖ High risk of errors
➖ Not scalable
➖ Drains analyst time
In-house Tools➕ Customizable to specific needs
➕ Full control over logic and data flows		➖ Requires technical expertise
➖ High maintenance effort
➖ Hard to scale
General ETL Platforms➕ Good for standard transformations
➕ Often already in use for other integrations		➖ Complex configuration for matching
➖ May require custom coding
➖ Not optimized for matching logic
Dedicated Data Matching Services➕ Purpose-built for matching use cases
➕ High accuracy with fuzzy logic
➕ Scalable and automated
➕ Faster time-to-value		➖ May involve licensing costs
➖ Requires integration effort (but typically minimal)

Elevate your enterprise with a unified data strategy

Stop letting data complexity dictate your limits. Partner with DoubleData to build a resilient, accurate, and actionable data foundation. It's more than just matched data. It’s about:

Improved ROI
Reduced costs
Smarter and faster decisions
Boosted operational efficiency
Enhanced customer experience
Ensured compliance and mitigated risk

Need an NDA first? Just mention it in the form - we’re happy to sign.