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Relationship-First Data Warehousing

Financial Data Warehouse

Acceleration.

Build governed financial data warehouses faster — with fewer people. Arisyn automates relationships, modeling, and governance.

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Faster Delivery

Accelerate warehouse builds from months to weeks.

Lower Costs

Auditability

Reduce manual consulting and engineering hours.

Built-in governance and automated lineage.

Who This Solution Is For

Designed for financial institutions with complex data environments and the teams responsible for mission-critical infrastructure.

Financial Institutions

01

Securities firms

Asset manager

Banks

Insurance companie

Data & Al Teams

02

Enterprise Data

Warehouses

Analytics Platforms

DataGovernance&

Compliance

Al&DataApplications

Traditional Warehousing is
Broken.

Building a financial data warehouse is rarely a technicalproblem -it is an organizational and relationship problem.The result: long timelines, high costs, and limited reuse.

Highly Fragmented Source Systems

Trading, clearing, risk, finance, and third-party data siloed across legacy architectures.

Unclear Table Relationships

Join logic exists only in senior engineersheads or incomplete historical documents.

Manual Modeling Heavy

Lineagempact analysisand auditability aremandatoryut painful toocumen

HighCost,SlowDelivery

Projects consume massive consulting and internal engineering resources.

The Arisyn Approach

Traditional warehouses start with models.Arisyn starts with relationships.

"Arisyn automatically discovers,validates, and
architectures. manages table-to-table relationships across systems-- turning them into reusable assets that drive modeling and analytics."

When relationships are automated, everything else accelerates.

How Arisyn Accelerates Delivery

Our platform provides the specialized tools needed to handle the scale and sensitivity of financial data.

01

Automatic Relationship
Discovery

Scans metadata and column statistics to inferprimary/foreign key candidates and identify entityclusters.

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IMPACT:

REPLACES WEEKS OF MANUAL RELATIONSHIP ANALYSIS.

02

Modeling Assistance

Uses relationship assets to guide domainmodeling, helping identify facts, dimensions, andsubject areas.

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IMPACT:

FASTER,MORE CONSISTENT WAREHOUSE DESIGN.

03

Metrics & Semantic Governance

Define business metrics once and bind them tounderlying data relationships for reuse across BI and Al.

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IMPACT:

ELIMINATES METRIC INCONSISTENCY.

04

Lineage & Impact Analysis

Automatically extracts lineage from SQL, ETL,and BI to visualize upstream and downstreamdependencies.

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IMPACT:

BUILT-IN COMPLIANCE AND AUDITREADINESS.

05

Security & Access Control

Role-based access (RBAC)with row- andcolumn-level permissions and data masking forsensitive fields.

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IMPACT:

DESIGNED FOR STRICTLY REGULATEDENVIRONMENTS.

Solution Architecture Overview

A comprehensive platform designed to handle the complexity of modern financial data
ecosystems.

01. DATA SOURCES

Core Banking

Customer, account, suitability

Trading Systems

Orders, positions, clearing

Product Master

Funds,derivatives, assets

Risk&Compliance

AML, credit, capital

Market Data

Reference, pricing, third-party

02. DATA SOURCES

IntaLink Engine

Auto relationship discovery& confidence scoring.

Trading Systems

Centraizedmetrics & business dimensions.

Product Master

End-to-end impactanalysis & audit trail.

Risk&Compliance

Secure execution & agent orchestration.

03. DELIVERY LAYER

ODS /DWD/DWS

Standardized warehouse layers

Governed Datasets

Reusable analytical assets

Data Services

APls and streaming delivery

Ask Data Al

 Natural language analytics

Ready to see it in action?

Experience how Arisyn transforms fragmented data into a unified asset.

Implementation Journey

A structured path to a high-performance enterprise datawarehouse.

01

Connect & Analyze

Connect core systems

Collect metadata and statistics

Run IntaLink relationship analysis

02

Model & Build

Generate dataset recommendations

Define key metrics

Publish reusable data services

03

Govern & Scale

Activate lineage and impact analysis

Enforce permissions

 Expand to additional domains

CUSTOMER CASE STUDY

Securities Firm:
Rapid Warehouse Build

The Challenge

A leading securities company building a new EDW faced
complex cross-system joins and heavy reliance on a few

senior engineers, resulting in high consulting costs.

The Solution

Arisyn provided automatedmetadata ingestion and

relationship discoverywithconfidencescoring,enabling

faster model design and governance from day one.

65%

MANUAL ANALYSIS

REDUCED

3x

DELIVERY VELOCITY

C D

"Arisyn transformed our engineering
team from manual analysts to high-

velocity architects."

 

Chief Data Officer

Tier 1 Global Securities Firm

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