THE PROBLEM
Turn Customer Data into Intelligent, Real-Time Experiences
Use Cases Stall
Personalization and attribution projects sit in discovery for months because nobody knows if the underlying fields actually exist.
Audits Go Stale
Manual spreadsheet audits take weeks of coordination with IT, only to go stale the minute schema changes in production.
No Shared Language
IT sees databases and system schemas, marketing sees campaigns and segment targets. Nobody translates the business-level readiness gap.
The result: months of delay between “we have a use case” and “we can actually activate it”.
HOW IT WORKS
Three steps. Days, not quarters.
1 Provide the Schema
No live production database connection required
Simply export your CRM, Marketing Automation, or Data Warehouse schema tables in standard formats (CSV, XLSX, JSON). The DRA parses field attributes and metadata safely on your device.
2 Score Against Your Use Cases
Define and score use case blueprints.
Map your schemas directly to pre-configured marketing use cases. The DRA automatically checks field coverage, data formats, join-keys, and missing parent-child linkages to compute a readiness score.
3 Get the Gap Story
Readiness narrated in plain business language.
No cryptic spreadsheet dumps. The DRA compiles its findings into a narrative playbook explaining exactly why certain segments can’t be targeted, and what to fix in the source system first.
Minutes not weeks of manual discovery
1 Score everyone reads the same number
Named Gaps exact fields, not vague findings
THE OUTPUT
One scorecard. Marketing, IT, and leadership all reading the same number.
The Data Readiness Agent output is structured into three diagnostic parts: overall feasibility scores, field-level alignment audits, and prioritized technical actions.
OVERALL FEASIBILITY SCORE
78 / 100
High FeasibilityA robust structural match score confirming standard segment targeting can deploy safely.
FIELD-LEVEL DATA HEALTH
30% Feasible
Action RequiredA quick map showing unmapped consent fields as the primary roadblock to orchestration.
BUSINESS IMPACT
+36% Match Lift
High FeasibilityMapping unmapped records unlocks up to 50% faster audience refreshing times across CDP journeys.
THE METHODOLOGY
A composite score you can defend in a steering committee.
Our proprietary Readiness Index evaluates your data preparedness across six weighted dimensions. Each layer is evaluated dynamically to isolate roadblocks before the first line of code is written.
Gold Layer Feasibility
Schema Coverage
Data Quality
Data Completeness
Granularity Fit
Regulatory Alignment
* Weightings are systematically assigned based on downstream architectural dependencies, ensuring the Gold Layer carries the critical path.
WHAT YOU GET
What lands in your inbox.
Scored Use Case
Your specific marketing use case clearly mapped and scored, giving you a definitive feasibility verdict before you fund the build.
Field-Level Gap Register
A precise index of exact fields that are missing, derived, or sit below quality thresholds, completely removing the guesswork.
Readiness Narrative
A business-translation story of the architectural gaps, designed to help marketing and IT align on next steps instantly.
Prioritized Next Steps
A phased recovery plan sequencing database changes by business impact, so you resolve the biggest roadblocks first.
One use case, scored from schema artifacts, delivered with a walkthrough session. No production data required, none requested.
THE VALUE
From data audit to data action.
Weeks not months
Automated schema analysis returns comprehensive gap maps in days, bypassing weeks of manual field auditing.
No data access required
Runs completely on static schema exports. Your customer PII and live databases stay 100% secure behind your firewall.
Business language not jargon
Our reports translate dry database constraints into a natural business narrative that both marketing and IT can align on.
A clear path not a spreadsheet
Get a clear roadmap showing exactly which source table edits unlock target segments, rather than leaving you with raw logs.
CUSTOMER ZERO
Built and proven on a real enterprise schema.
The first production run of the Data Readiness Agent scored a national HR provider’s schema. The DRA evaluated persona-based segmentation, attribution, and lifecycle marketing use cases, immediately pinpointing critical gaps — including a crucial consent-field completeness gap sitting at just 61% that would have silently blocked compliance downs-stream.
THE PATH FORWARD
Readiness first. Foundation second.
The Data Readiness Agent runs as a diagnostic assessment layer before you invest in building out a comprehensive Marketing Data Foundation.
COMMON QUESTIONS
Before you ask.
Do you need access to our production data?
No. We run entirely on static schema structures (table exports, column definitions, metadata files). Your customer PII, records, and databases remain fully secured behind your internal enterprise firewalls.
Is this a data quality assessment?
No — it’s a structural feasibility assessment. DRA tells you whether the data you have can support the use case you want. Field-level completeness is one of six scored dimensions, but the output is a feasibility verdict, not a DQ audit.
How long does a run take?
Minutes to score once the schema is in hand. The full engagement — scoping the use case, running it, and walking through the readiness narrative — is measured in days, not the weeks or months a manual discovery workshop takes.
What if we don’t know which use case to score?
We’ll help you define it. Most teams already have a backlog of stalled initiatives — those are the ones to score first.
Which platforms does it work with?
DRA is platform-agnostic. It evaluates schema structure, so it works whether your data lands in Snowflake, Databricks, BigQuery, Redshift, or a lakehouse — and regardless of which CDP or activation stack sits downstream.
Bring your schema. We will bring the readiness score.
Let’s map your first use case together. Upload your column maps or export headers and see the gap story immediately.