Actionable Data for Modern Banks

iDENTIFY Builds the infrastructure ecosystem to unify, clean, and trust your data, so you are ready for anything.
iDENTIFY
Lee Easton
Lee Easton

SLA Compliance

Date of Birth

99%

Social Security

90%

Zip Code Accuracy

Accurate

63.00%

Invalid

03.76%

Null

33.24%

Compliance Score

89.2 %
Cumulative Score
2.00K
FILES
126.00M
ROWS
3.00B
FIELDS

Score Timeline

Values
Compliance Score

Visa

Network
199
FILES
34M
ROWS
648M
FIELDS

Jack Henry
Silverlake

Network
389
FILES
57M
ROWS
1B
FIELDS

nCino

Customer Management
198
FILES
1M
ROWS
45M
FIELDS

Banno

Digital Banking
199
FILES
9M
ROWS
161M
FIELDS

FIS North

Processor
398
FILES
19M
ROWS
362M
FIELDS

Trusted by banks modernizing with clarity and confidence

Fragmented Data Creates Blind Spots

When data is split across systems, your teams can’t see the full picture.

We bring your core, processors, and fintech partners into one source of truth so you can operate with clarity and confidence.

Unified Data Changes Everything

The data infrastructure that unifies your entire bank

We design your data warehouse to connect your core, KYC tools, LOS platforms, card processors, digital banking systems, and fintech partners into one secure, governed environment.

Fiserv
FIS

Compliance-Ready Data You Can Trust

Clean, validated, exam-ready data ready for any audit

We normalize, validate, and standardize every data source, creating consistent schemas for AML, BSA, risk, and reporting to remove manual cleanup and ensures your data is accurate and regulator-ready.

CREATING A TASK
Objects
Query
Results
TRANSACTION_ID
ACCOUNT_NUMBER
MERCHANT
DESCRIPTION
AMOUNT
01
17
3144748887
McDonalnd’s
POS DEB 0033 09/27/20 7245300
$57.48
QUERY DETAILS
Query duration 1.45s
Rows 187
MONTHLY SPENDING

Customer Intelligence at a Glance

Insights that help you understand customers, branches, and fintech programs

We build dashboards and AI-powered analytics so teams can answer questions instantly, from deposit trends to loan performance to fintech oversight.

View Interactive Content

Your Guide to

UNIFICATION COMPLIANCE QUALITY USABILITY

We build dashboards and AI-powered analytics so teams can answer questions instantly, from deposit trends to loan performance to fintech oversight.

Let's talk

Use Cases

A unified data foundation that centralizes financial data, integrates core systems, enables real-time pipelines, supports compliance, and scales effortlessly for new fintech partners.

Data compliance & regulatory reporting

Risk mitigation and anomaly detection

Core modernization & cloud migration

Eliminating data silos

Faster fintech onboarding

Snowflake Intelligence for reporting

What if you could talk to your data?

AI-powered insights inside your governed Snowflake environment

at a Glance

25
+

processors mapped

4

major AML/BSA systems integrated

70
M

transactions cleaned daily

25
+

active client banks across the U.S.

5
+

years dedicated to banking + fintech data

100
's

of engineering hours saved per client

THE iDENTIFY ROADMAP

We make this as EASY AS POSSIBLE for you.

Our goal is to reduce stress and simplify a complex process that guides you to success.

In order to do so, we make our communication and project management as seamless as possible.

Platform
Sam Sabbagh
We eliminate stress. Like a therapist, but better.
1

Discovery

To get started we need to spend some time learning more about your organization's data and use-cases.

2

Design

We then create the current state and future state workflow diagrams so we know what value to unlock first!

3

Implementation

The data must be moved and transformed so that we can organize it for users to make sense of it all.

4

Support

We don't leave you high and dry. Ongoing support of the Data Lake and Data Analytics Tools are a must for us.

The Payoff

Save time. Save money. Stay compliant.

Unified data makes your bank faster, safer, and more efficient, every single day.

More time back

Fewer spreadsheets
Faster answers
More self-service
Outcome: less manual work across every team.

Lower cost to operate

Less tech waste
Less rework
Lower overhead
Outcome: a leaner, more efficient bank.

Stronger compliance

Cleaner AML data
Defensible reporting
Stronger oversight
Outcome: exam-ready by default.
Time
Money
Compliance

More time back

Unified, clean data reduces manual work across every team.
Hours of manual data work eliminated every month
Faster time-to-insight- answers in minutes, not days
Fewer steps to insight- less hopping between systems
Production-ready data built faster- raw data becomes usable quickly
More self-service insights (fewer IT/engineering requests)
Streamlined workflows running on unified, validated data
Outcome: your teams get time back,  every day, every month.

Money

Unified, clean data reduces manual work across every team.
Hours of manual data work eliminated every month
Faster time-to-insight- answers in minutes, not days
Fewer steps to insight- less hopping between systems
Production-ready data built faster- raw data becomes usable quickly
More self-service insights (fewer IT/engineering requests)
Streamlined workflows running on unified, validated data
Outcome: your teams get time back,  every day, every month.

Compliance

Unified, clean data reduces manual work across every team.
Hours of manual data work eliminated every month
Faster time-to-insight- answers in minutes, not days
Fewer steps to insight- less hopping between systems
Production-ready data built faster- raw data becomes usable quickly
More self-service insights (fewer IT/engineering requests)
Streamlined workflows running on unified, validated data
Outcome: your teams get time back,  every day, every month.
Case Study

CCBank - Engineering That Powers Compliance

Read the case study
Before
Multiple fintech partners
Inconsistent transaction formats
No unified AML schema
Manual oversight and exceptions
High risk of data-mismatch findings
After
Clean, unified AML data model
Automated mapping into Oscilar
Near real-time partner monitoring
Clear lineage and defensibility
Data teams freed from manual reconciliation
This is data engineering done right — built for compliance, auditability, and growth.
Let’s modernize your bank’s data, together.

Data Analytics

Block Hour Price

$165/hour = $6600.00
(no monthly rollover)
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