Entity resolution software

Seamlessly link records within seconds across millions of data points from disparate sources. Leverage a suite of fuzzy matching algorithms to yield precise matches with minimal false positives.

Trusted By

Trusted By

Definition

What is entity resolution?

Entity resolution, is a core data quality process used to identify records that refer to the same entity within or across data sources. This could be done for deduplication and cleansing purposes, or to enrich and create golden records that absorb entity fragments across your business and create a unified entity profile.

As data grows at unexpected speed, the process of entity resolution is also getting complicated. It is difficult to find uniquely identifying attributes residing across databases for the same entities. And so, complex and specialized data cleansing, matching, and merging capabilities are required in fields of crime detection, law enforcement, finance and insurance, etc.

Process

How does entity resolution work?

Ingestion

Bring data together at one place, since it is scattered across disparate sources, and resolve any conflicting changes in database schemas to allow further processing.

Data standardization

Fix data standardization issues highlighted in the previous step, including filling in empty data, replacing inaccurate or invalid information, standardizing values against defined patterns and formats, etc.

Canonicalization

Merge information from duplicate records with the help of canonical rules, so that maximum information is combined into one golden record which represents the completeness of that entity.

Data discovery

Discover and highlight any statistical anomalies that may be present in the form of missing, incomplete or invalid data values.

Entity record linking

Match records within and across databases and identify potential records that relate to the same entity. Datasets usually lack standardized uniquely identifying attributes, and so a combination of intelligent fuzzy matching algorithms may be needed to increase accuracy.

Canonicalization

Merge information from duplicate records with the help of canonical rules, so that maximum information is combined into one golden record which represents the completeness of that entity.

Solution

Let Data Ladder handle your entity resolution process

See DataMatch Enterprise at work

DataMatch Enterprise is a highly visual and intuitive data scrubbing software that has the suite of features to inspect, reconcile, and remove data errors at scale in an intuitive and affordable manner.

DataMatch leverages a plethora of industry-standard and proprietary algorithms to detect phonetic, fuzzy, mis-keyed, and abbreviated variations. The suite allows you to build scalable configurations for data standardization, deduplication, record linkage, enhancement, and enrichment across datasets from multiple and disparate sources, such as Excel, text files, SQL and Hadoop-based repositories, and APIs.

Business benefits

How can entity resolution benefit you?

Customer identity resolution

Reconcile conflicting identities by creating unified customer profiles to confidently track customers across omni-channel interactions.