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Contact Us

Contact Us

North America's Leading Food Manufacturer

North America's Leading Food Manufacturer

Modernizes Decades of Legacy Data Infrastructure

Modernizes Decades of Legacy Data Infrastructure

~0%

~0%

Faster Migration

Faster Migration

~0%

~0%

Lower Cost

Lower Cost

Zero
Zero

Downtime

Downtime

Consumer Packaged Goods (CPG)

Company Profile

Decades of legacy data infrastructure

Multi-terabyte enterprise data warehouse

Thousands of daily business-critical reports

The Challenge

Decades of undocumented legacy logic

No records of transformation rules or dependencies

Zero tolerance for report failures during migration

Risk of halting multi-billion dollar operations

The Solution

AI agents reverse-engineered legacy Informatica

Automated data validation across all data sources

Zero-disruption migration with compatibility layer

100% report accuracy before production cutover

Legacy Stack

IBM DB2

Informatica

MicroStrategy

AI Agents

Modern Stack

Snowflake

dbt + Fivetran

Validated BI

The Full Context

The client operated a decades-old technology stack (IBM DB2, Informatica, MicroStrategy) with zero documentation. Decades of critical business logic was embedded across thousands of mappings with no records of transformation rules or dependencies. Thousands of MicroStrategy reports powered daily operations. Any data discrepancy could disrupt the multi-billion dollar enterprise.

DataNext deployed specialized AI agents to automate legacy logic extraction, architecture design, and validation. Complete migration to Snowflake + dbt + Fivetran with zero disruption and 100% report compatibility.

The Approach

With the help of DataNext, three specialized AI agents were deployed to automate high-friction migration phases.

1
Knowledge Discovery Agent

Reverse-engineered source-to-target mappings and extracted embedded transformation logic across thousands of Informatica workflows.

2
Model Builder
Agent

Designed medallion architecture (Bronze/Silver/Gold), generated optimized Snowflake SQL, and produced production-ready dbt artifacts.

3
Quality
Validator Agent

Automated validation including row reconciliation, aggregate checks, and MicroStrategy report testing via Consumer UI Automation.

Data architects validated business logic while engineering teams focused on exceptions. The DataNext platform accelerated execution; humans maintained governance.

The Impact

The AI-driven data migration delivered 60% faster execution and 33% cost savings, with zero business disruption.

Beyond the numbers, the real impact was in what didn't happen. Zero downtime. Zero report failures. Zero operational disruption. The automated validation framework eliminated migration anxiety. Billions of rows reconciled automatically. Thousands of reports validated pixel-perfect before production.

The client now operates on a modern, cloud-native Snowflake platform with elastic compute and scalability. The dbt framework enables easy modification of business logic. The medallion architecture supports advanced analytics and ML initiatives. All while preserving existing MicroStrategy BI investments.

Project Highlights

Migration

IBM DB2 Snowflake

Informatica dbt + Fivetran

Decades of legacy logic

Results

60% Faster

33% lower cost

Zero downtime

100% report compatibility

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