// CUSTOMER IDENTITY GRAPH EVALUATION

Test Condor Graph on your identity problem

A focused four-week engagement to resolve a bounded set of fragmented customer records, inspect the evidence behind the matches, and measure whether a trusted identity graph can support your next production use case.

Apply for an Evaluation Review the Scope

Limited design-partner availability.

// FIT

Built for an active customer identity problem

The evaluation is designed for data teams that need a measurable answer before committing to a broader identity program.

  • Customer records are fragmented across commerce, CRM, loyalty, support, or other operational systems.
  • Duplicate or disconnected identities are blocking analytics, personalization, lifecycle, or migration work.
  • A data owner can provide a bounded dataset and review representative matches with us.
  • Your team wants explainable identity resolution with stable downstream outputs, not an opaque match score alone.

// BOUNDED SCOPE

Three to five tables. One clear decision.

Start with three to five customer-related tables, a bounded historical snapshot, and one representative update. Together we choose the sources, fields, review sample, and downstream outcome before modeling begins.

Inputs

Customer records and identity evidence

Names, addresses, email, phone, account identifiers, and other agreed fields from the selected sources.

Review

Representative matches and non-matches

A jointly reviewed sample grounds quality discussions in your data and your tolerance for false links.

Output

An evidence-backed identity graph

Stable identity assignments and golden records prepared for the use case agreed at the start.

// FOUR-WEEK PROCESS

From source data to measured readback

  1. Week 1

    Define the identity problem

    Confirm source tables, identity fields, data handling, review owners, and the metrics that will determine success.

  2. Week 2

    Build the first graph

    Prepare the bounded data, model identity evidence, and produce the first resolved customer identities for review.

  3. Week 3

    Review and refine

    Inspect representative links and non-links, tune the matching approach, and test a bounded update to the graph.

  4. Week 4

    Measure and recommend

    Read back the agreed metrics, deliver graph outputs, and define the path to a production deployment.

// DELIVERABLES

What your team receives

  • Resolved identity output with stable customer IDs
  • Golden customer records configured for the agreed use case
  • Inspectable evidence for representative matches and non-matches
  • Source overlap and duplicate analysis
  • A bounded incremental-update readback
  • Production deployment and operating recommendations

// SUCCESS METRICS

Decide what success means up front

  • Precision on jointly reviewed matches
  • Duplicate records consolidated
  • Cross-source identity linkage coverage
  • Previously disconnected customer records found
  • Behavior of stable IDs across the bounded update
  • Runtime and operator effort for the evaluated scope

// DATA EXPECTATIONS

Agree on the boundary before data moves

Before the evaluation begins, we agree on the deployment environment, approved source tables, least-privilege access, review participants, and the exact data fields in scope.

We also document retention and deletion expectations, output ownership, and how results may be used. The evaluation can be shaped around a customer-controlled environment or another mutually agreed isolated deployment.

Condor Intelligence Engine, Condor Activation Agent, and Condor RETL can extend the graph after identity quality is established; they are not required to prove the core identity-resolution outcome.

See what Condor Graph resolves in your data

Tell us about your customer sources and the identity problem blocking your next initiative.

Apply for an Evaluation