10 Best Identity Resolution Software

Identity resolution involves connecting disparate data pieces to a unified customer profile for a complete 360-degree view. As data volumes and sources grow, automating identity resolution via software becomes essential. The best platforms provide intelligent algorithms to match records plus tools for defining rules and training data models. This enables building a master dataset for accurate analytics, segmentation, and personalized customer experiences.

This blog post examines 10 leading identity resolution systems based on matching accuracy, data integration, analytics, privacy, and overall capabilities to meet modern business challenges. Any organization aiming to leverage their data can benefit from automating identity resolution with these software solutions.

What is best identity resolution software?

The best identity resolution software can vary depending on specific business needs. Some leading options include Informatica MDM, Experian Data Quality, and Acxiom Identity Resolution. These platforms offer robust data matching, cleansing, and integration capabilities to ensure accurate and unified customer profiles. Choosing the right software depends on factors like data volume, integration requirements, and budget constraints.

Here is a table comparing the pros and cons of the top 10 identity resolution software tools:

Software	Pros	Cons
Informatica Customer 360	Powerful AI matching; real-time processing; robust analytics	Expensive; complex implementation
Experian Aperture	Flexible custom rules and ML; data management and analytics; SaaS option	Costly; requires large data volume
Acxiom Connect	Leverages massive consumer database; privacy controls; expertise	Dependency on provider data assets
Signal AI Insight	Unified text data; pre-trained AI; knowledge graph	Limited to unstructured text data
Infutor Precise ID	Verification and hygiene; simple cloud platform; compliant	Smaller company; less customizable
Throtle	Tunable ML accuracy; privacy safeguards; match metrics	Younger technology; minimal analytics
Profisee PureID	Enterprise-scale capabilities; workflow automation; flexible data model	Steep learning curve; on-premise only
LexisNexis LexID	Powerful matching; robust security; batch processing	Costly; requires large data scale
Tapad Real-Time Digital	Cross-device in real-time; consent controls; graph profiles	Limited to device resolution
LiveRamp ATS	Guaranteed accuracy; publisher partnerships; consent-based	Digital-only focus; requires integration

Informatica Customer 360

Informatica Customer 360 offers an intelligent master data management platform focused on unified identity resolution. Powerful AI-driven matching finds and links records related to a single customer across any data source. Users can train models on company-specific indicators and rules to improve precision.

Customer 360 processes streaming transactional data in real-time to maintain a persistent single customer view. The solution seamlessly integrates cloud and on-premise systems. Analytical dashboards provide visibility into resolution metrics like match rates. Role-based access and global data residency controls support privacy and governance needs. For enterprise identity linking at scale, Customer 360 delivers leading MDM technology.

Experian Aperture Data Studio

Experian Aperture provides a powerful identity resolution engine combined with data management and analytics tools. Built-in multisource algorithms accurately link data to unique identities. Users can customize the matching process with business-specific data definitions, rules, and machine learning models.

Aperture Data Studio allows creating, enriching, and sharing unified customer profiles. Dashboards with metrics illustrate resolution effectiveness over time. Experian’s massive data assets further aid matching via background lookups. Compliance features assist meeting regulations around data use. For both software-driven and SaaS identity resolution, Experian Aperture offers robust capabilities.

Acxiom Acxiom Connect

Acxiom Connect leverages deep consumer data and matching algorithms to resolve customer identities across fragmented datasets. Advanced machine learning trains models to improve matching based on unique business data. Queries against Acxiom’s database of over 3000 attributes further inform identity correlation decisions.

Resolved customer data seamlessly feeds into data management systems via API integration. Acxiom’s privacy tools support consent, access, and ethical data use. As an identity resolution leader for nearly 50 years, Acxiom provides both expert services and software solutions to unify disparate customer data.

Signal AI Insight

Signal AI Insight applies artificial intelligence to identify resolution within unstructured text data like emails, chats, notes, and documents. Advanced neural networks learn to relate textual references to real-world entities and unify them. Hundreds of pre-trained connectors recognize common identity types.

Signal AI Insight integrates with CRMs and databases to add resolved text insights. The identity knowledge graph displays connections found across all ingested data. Entity analytics dashboards track metrics like resolvability and ambiguity rates. For extending identity resolution to messy text-based data, Signal AI delivers valuable AI capabilities.

Infutor Precise ID

Precise ID from Infutor leverages the company’s extensive consumer and business data resources to power identity linking across customer records. Advanced matching algorithms drive high match rates and accuracy. Users can customize data weights, rules, and requirements based on unique needs.

Integrated identity verification and data hygiene further enrich profiles for a complete view. Precise ID also aids compliance via hashed data options and record-level consent tracking. As a cost-effective cloud service requiring no IT infrastructure, Precise ID simplifies deploying enterprise-grade identity resolution.

Throtle Identity Resolution

Throtle offers AI-powered identity resolution to assemble fragmented customer data into 360-degree profiles. Advanced machine learning models balance precision and recall for accurate matching weighted towards business objectives. Users tailor data scrubbing, entity definitions, match logic, and model feedback.

Multi-layered security and consent tools support privacy best practices. Throtle calculates match rate metrics for model optimization. Clean unified data can populate databases, analytics systems, and downstream apps through API integration. For both real-time and batch identity resolution, Throtle provides intelligent flexible algorithms.

PureID from Profisee

PureID by Profisee combines a robust master data management backbone with specialized identity resolution capabilities tailored for enterprise systems. Powerful deterministic and probabilistic techniques correlate records across any data types.

A workflow studio allows orchestrating matching, consolidation, and data stewardship processes. Role-based access assures data visibility compliance. Profisee’s data model flexibility enables configuring custom identity definition rules and data hierarchies. For fintech, healthcare, retail, and other regulated industries, PureID delivers compliant identity resolution.

LexisNexis LexID

LexID from risk management leader LexisNexis applies advanced linking analytics to accurately associate disparate identity data. Flexible manual and automated matching options balance speed and accuracy. Users can configure custom data weighting schemes and match requirements.

LexID taps into the LexisNexis database for additional cross-referencing. Client-side encryption and access controls maintain data security. The batch processing interface easily integrates with existing IT infrastructure. For compliant high-volume identity consolidation, LexID provides powerful matching capabilities leveraging LexisNexis data assets.

Tapad Real-Time Digital Cross-Device

The Tapad Real-Time Digital Cross-Device solution uses sophisticated statistical models to relate device identities to real users in real-time. Integration with other datasets combines first, second, and third-party data for accuracy. Custom data connectors and sharing enable enterprise-wide identity resolution.

Profiles seamlessly feed into other systems for personalization and analytics. Consent and privacy controls allow ethical data usage meeting standards like GDPR and CCPA. For associating devices and sessions to marketing identities, Tapad provides robust graph-based digital identity resolution.

LiveRamp Authenticated Traffic Solution

LiveRamp ATS deterministically matches online and offline data to real user identities using direct login partnerships with publishers and brands. This technique sidesteps probabilities for guaranteed accuracy. Supported match rates exceed 95% for stitching together experiences across devices and channels.

Seamless integration with digital experience and data platforms brings in resolved identities for segmentation and personalization. Both token- and email-based matching maintain privacy. For consent-based resolvable online identity, LiveRamp ATS provides market-leading capabilities.

FAQs

What is identity resolution software? Identity resolution software is a technology used to reconcile and link data from various sources to create a unified and accurate view of an individual or entity’s identity. It helps organizations connect fragmented data and establish a single, comprehensive identity profile for each customer, which is crucial for various applications such as customer relationship management (CRM), fraud prevention, marketing, and more.

What is identity resolution in MDM? In Master Data Management (MDM), identity resolution refers to the process of identifying and linking multiple records or data points that represent the same real-world entity. It ensures that data in an MDM system is accurate, consistent, and free from duplicates by resolving conflicting or redundant information related to entities like customers, products, or suppliers.

What is Acxiom ID resolution? Acxiom ID resolution is a service offered by Acxiom, a data and marketing services company. It involves the use of data and technology to identify and link customer data across various touchpoints and devices, creating a more complete and accurate view of individual identities. This service is often used for marketing and advertising purposes.

What is the identity resolution pixel? The term “identity resolution pixel” is not a standard term in identity resolution technology. It’s possible that it refers to a tracking pixel used in online advertising or analytics to collect data on user behavior and preferences. Such data can then be used in identity resolution processes to enhance customer profiles.

What is GXP identity resolution? GXP identity resolution is not a commonly recognized term. GXP typically stands for “Good X Practice,” where X can represent various fields such as manufacturing, laboratory, or clinical practices. It is often used in regulated industries like pharmaceuticals and healthcare. Identity resolution in a GXP context would likely refer to ensuring the accurate identification and traceability of individuals or entities in compliance with regulatory standards.

What is an example of identity resolution? An example of identity resolution is when a retail company collects customer data from multiple sources, such as online purchases, in-store transactions, and loyalty program sign-ups. Identity resolution software is then used to link and consolidate this data to create a single customer profile, allowing the company to better understand the customer’s preferences and behavior.

What is the difference between identity resolution and entity resolution? Identity resolution and entity resolution are similar concepts but are used in slightly different contexts. Identity resolution typically focuses on linking and reconciling data related to individuals or entities to create a unified identity profile, often in customer-centric applications. Entity resolution, on the other hand, is a broader term used in data management to link and reconcile data related to any type of entity, not just individuals, and is often used in the context of data quality and data integration.

What is the difference between identity resolution and identity graph? Identity resolution and identity graph are related but distinct concepts. Identity resolution is the process of linking and reconciling data to establish a single, accurate identity for an individual or entity. Identity graph, on the other hand, is a data structure that represents the relationships and connections between various identities, devices, and touchpoints. It is often used in marketing and advertising to understand customer journeys and behavior across channels.

What is identity resolution in CDP? Identity resolution in a Customer Data Platform (CDP) refers to the capability of the platform to link and consolidate customer data from various sources to create a unified customer profile. This unified profile enables marketers to better understand and engage with customers across different marketing channels and touchpoints.

What is identity resolution in Salesforce CDP? Identity resolution in Salesforce CDP (Customer Data Platform) refers to the process of linking and consolidating customer data from Salesforce and other sources to create a comprehensive and accurate view of each customer. This enables Salesforce users to deliver personalized and targeted marketing campaigns and improve customer engagement.

What is the difference between entity resolution and MDM? Entity resolution is a component of Master Data Management (MDM). MDM is a broader discipline that focuses on managing and maintaining an organization’s critical data, such as customer data, product data, or supplier data. Entity resolution specifically deals with the identification and linking of duplicate or conflicting data related to entities within the MDM system.

What is identity resolution for dummies? “Identity resolution for dummies” could be a simplified, non-technical explanation or guide aimed at individuals who are new to the concept. It would provide a basic overview of how identity resolution works, its importance, and its applications in a way that is easy for beginners to understand.

What is entity 360 in MDM? Entity 360 in Master Data Management (MDM) refers to a comprehensive and 360-degree view of an entity, such as a customer, product, or supplier. It includes all relevant data and attributes associated with that entity, ensuring that it is accurate, complete, and consistent. Entity 360 helps organizations make informed decisions and provide better customer experiences.

What is Lytics ID resolution? Lytics is a customer data platform (CDP) that offers identity resolution capabilities. Lytics ID resolution is the process within the Lytics platform of identifying and linking customer data from various sources to create a unified customer profile. This profile helps marketers personalize their campaigns and improve customer engagement.

What is identity resolution Rockerbox? Rockerbox is a marketing technology company that may offer identity resolution services or solutions. Identity resolution in the context of Rockerbox would involve linking and consolidating customer data from various sources to provide insights for marketing and advertising campaigns.

What is identity resolution in LiveRamp? LiveRamp is a data connectivity platform that provides identity resolution services. Identity resolution in LiveRamp involves linking and reconciling customer data across offline and online channels to create a comprehensive and accurate view of customer identities. This data is then used for targeted advertising and marketing.

What is identity resolution Hightouch? Hightouch is a data integration platform that may offer identity resolution capabilities. Identity resolution in Hightouch would involve the process of linking and consolidating customer data from different sources to create unified customer profiles for various data-driven applications.

Why is identity resolution important? Identity resolution is important because it allows organizations to:

1. Improve Customer Understanding: It helps create a comprehensive view of each customer, enabling businesses to understand customer behavior, preferences, and needs better.
2. Enhance Marketing and Personalization: Accurate identity resolution supports targeted marketing efforts and personalized customer experiences, leading to higher engagement and conversions.
3. Reduce Fraud: Identity resolution helps detect and prevent fraudulent activities by identifying discrepancies and anomalies in data.
4. Data Quality: It improves data quality by eliminating duplicates and ensuring data consistency.
5. Compliance: Identity resolution helps organizations comply with data privacy regulations by managing and securing customer data effectively.

Is pixel dimension the same as resolution? No, pixel dimension and resolution are not the same. Pixel dimension refers to the physical size of an image in terms of the number of pixels it contains, typically expressed as width x height (e.g., 1920×1080 pixels for a Full HD image). Resolution, on the other hand, refers to the level of detail or clarity in an image and is often measured in dots per inch (DPI) or pixels per inch (PPI). Higher resolution means more detail and a clearer image, while lower resolution results in a more pixelated or blurry image.

What are the 3 base elements of GxP? The three base elements of GxP, which stands for “Good [anything] Practice” and is often used in regulated industries like pharmaceuticals and healthcare, are:

1. Good Manufacturing Practice (GMP): GMP sets standards and guidelines for the manufacturing and quality control of pharmaceuticals, ensuring they are safe and effective for use.
2. Good Laboratory Practice (GLP): GLP defines principles for the conduct of non-clinical safety studies, ensuring the reliability and integrity of data generated during testing.
3. Good Clinical Practice (GCP): GCP provides guidelines for the conduct of clinical trials involving human subjects, ensuring the safety and rights of participants and the reliability of trial results.

What is the difference between GxP and non GxP? GxP (Good [anything] Practice) refers to a set of regulatory standards and guidelines followed in industries where safety, quality, and compliance are critical, such as pharmaceuticals, healthcare, and food manufacturing. Non-GxP environments do not follow these specific regulations and standards. The main difference is that GxP environments adhere to strict regulatory requirements to ensure product safety, quality, and efficacy, while non-GxP environments may have more flexibility but also less regulatory oversight.

What are the two main GxP regulatory pillars? The two main GxP regulatory pillars are:

1. Good Manufacturing Practice (GMP): GMP is focused on the manufacturing and quality control of pharmaceuticals and medical devices. It sets rigorous standards to ensure that products are consistently produced and controlled to meet quality and safety requirements.
2. Good Clinical Practice (GCP): GCP is concerned with the conduct of clinical trials involving human subjects. It provides guidelines to ensure the ethical and scientific integrity of clinical research, as well as the safety and rights of trial participants.

What are the 11 aspects of identity? The concept of identity is multifaceted and can encompass various aspects. While there may not be a universally agreed-upon list of 11 aspects of identity, some common dimensions of identity include:

1. Personal Identity: This includes your individual characteristics, such as name, age, gender, and physical appearance.
2. Cultural Identity: Your cultural background, including ethnicity, nationality, and traditions.
3. Social Identity: How you identify with various social groups, such as family, friends, or communities.
4. Gender Identity: Your internal sense of your own gender, which may or may not align with your biological sex.
5. Sexual Identity: How you identify in terms of your sexual orientation, such as heterosexual, homosexual, bisexual, etc.
6. Religious Identity: Your beliefs and affiliation with a particular religion or spirituality.
7. National Identity: Your connection to and identification with a specific country or nation.
8. Professional Identity: Your role, job, and career-related identity.
9. Digital Identity: Your online presence and persona in the digital world.
10. Psychological Identity: Your sense of self, including values, beliefs, and personality traits.
11. Interpersonal Identity: How you define yourself in relation to others, including roles such as parent, sibling, or friend.

Conclusion

As data volumes and sources proliferate, automated identity resolution becomes mandatory for actionable analytics and customer experiences. Dedicated tools like Informatica Customer 360, Experian Aperture, and Acxiom Connect apply advanced algorithms and custom rule configuration for highly accurate profile unification. With privacy and integration capabilities to meet modern needs, these leading platforms turn fragmented data into unified customer intelligence.