In the world of Identity and Access Management (IAM), matching isn’t just a back-end process—it’s the heartbeat of a secure, scalable, and user-friendly identity lifecycle. And yet, most IAM/IGA solutions on the market treat it as an afterthought, offering limited matching logic, rigid frameworks, or worse relying on custom development just to align records across systems.

At Fischer Identity, we believe matching logic is a first-class citizen in IAM design. With over 20 years of experience serving complex, multi-source environments—higher education, healthcare, government, and the Fortune 500—we’ve built an attribute-level matching engine that’s not just flexible. It’s transformative.

Beyond the Basics: Attribute-Level Identity Matching

While many IAM solutions can match identities based on a single unique identifier (like an employee ID or email), real-world data is rarely that clean.

That’s why Fischer Identity allows unlimited configurable matching methodologies—built directly into the platform—without a single line of custom code.

Match by:

• Employee ID or Student ID
• National ID (SSN)
• Name and date of birth
• Work email, personal email, or phone number
• Any other combination of attributes your business process demands or has available

These matching methods can be prioritized, weighted, or sequenced—acting like finely tuned nets that catch the right identity as the data flows into the IAM system. And when confidence thresholds aren’t met? Fischer can pause the process and flag that record for administrator review. It’s automation with control.

Real-World Example: At the University of Virginia (UVA), Fischer Identity’s advanced matching capabilities eliminated duplicate accounts across multiple source systems—including Workday HCM, Jenzabar Student, PeopleSoft Student, Oracle HCM, and a data import process for non-paid employees, while processing over 70k records per year.

Why Matching Logic Matters—A Lot

When identity matching fails, bad things happen:

• Duplicate accounts grant unintended access
• Orphaned identities remain active post-termination
• Lifecycle transitions (student → employee, contractor → vendor) break
• IAM teams spend weeks cleaning up data instead of enforcing policy

Inaccurate matching is more than an IT nuisance—it’s a compliance risk, a security vulnerability, and a drain on resources.

Fischer Identity solves this with match-first logic that aligns data across disparate systems—from HR and SIS to CRM and third-party registries—ensuring:

• Seamless lifecycle transitions
• Attribute-based policy enforcement
• Least privilege access
• Clean audit trails and regulatory compliance

Match, Link, Automate: The Fischer Identity Way

Unlike most platforms that rely on brittle scripting or black-box algorithms, Fischer Identity puts matching logic in your hands:

• No-code configuration: Design, prioritize, and test your matching logic without developer dependency.
• Auto-match or hold for review: Let Fischer Identity confidently link identities—or hold them until an IAM admin resolves discrepancies.
• Handle lifecycle transitions with ease: Contractor becomes staff. Student becomes faculty. Fischer Identity recognizes the change—without generating a new identity.
• Supports complex role models: Multi-role identities (faculty + admin + researcher) are automatically reconciled under a single, unified digital persona.

Why Other IAM Solutions Fall Short

Many IAM/IGA tools only support simplistic or fixed matching rules—if they support matching at all. Often, identity reconciliation is an afterthought or requires extensive customization, adding cost, fragility, and long-term technical debt.

Even some “big name” platforms:

• Force clients to manipulate source data instead of configuring logic in IAM
• Break during HRIS transitions (e.g., moving from legacy HR to Workday)
• Require expensive consultants just to manage duplicate resolution

Fischer Identity changes the game:

• We don’t fix source data—we make sense of it.
• We don’t code rules—we configure them.
• We don’t patch identity issues—we prevent them.

20+ Years of Matching the Unmatchable

For over two decades, Fischer Identity has helped organizations make order out of chaos. Our platform was built from the ground up to handle:

• Multi-source identity environments
• Cross-system reconciliation
• Complex transitions
• External identities with no single system of record

Whether you’re managing hundreds of thousands of identities or navigating constant organizational change, our matching engine scales with you—accurately, securely, and automatically.

Ready to End the Duplicate Identity Nightmare?

Let Fischer Identity’s attribute-level matching and automated reconciliation show you what a mature, battle-tested IAM platform really looks like.

Say goodbye to manual cleanups, provisioning errors, and compliance headaches.