{oA.Reverse}

Migrate the DataFlow or DataViz layer

Legacy ETL/ELT and data visualization tools have become complex, costly, and no longer aligned with modern data stack requirements (scalability, interoperability, simplicity).
Migrations are necessary… but often long, risky, and expensive.
{openAudit}, leveraging fine-grained reverse engineering, enables automated “as is” migrations of ETL/ELT and certain dataviz tools—faster, more cost-efficient, and with no disruption for business users.

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DataFlow and DataViz migration

Migrate legacy ETL / ELT jobs to adaptable SQL or dbt

We have developed a methodology to extract business logic from legacy ETL/ELT jobs and convert it into pure or enriched SQL. This logic can then run on modern platforms (GCP, Azure SQL, etc.), and {openAudit} reconstructs it within modern transformation tools such as dbt.

Create standard SQL from the source technology

The step-by-step migration of ETL/ELT to SQL enables complex processes to be broken down into readable and maintainable SQL blocks. It provides clear control points and intermediate tables to better track and understand data flows.

Create standard SQL from the source technology
Rebuild business logic in the target technology

Move to a modern data transformation technology

Transformations from {openAudit} are converted into enriched SQL, executable on target platforms (GCP, Redshift, etc.) or integrated into tools like dbt. Orchestration (e.g., Airflow) enables dependency visualization and pipeline monitoring.

New: {oa.tbx}, an open SQL-based ETL to replace legacy ETL

Traditional ETL relies on proprietary technologies that are difficult to evolve and poorly interoperable. With {oa.tbx}, transformations are based on standard, open SQL, compatible with modern tools (dbt, Cloud databases). Result: a sustainable, modular ETL aligned with modern data architectures.

Create standard SQL from the source technology

Use cases

Exit [DataStage] - and retain its business processes

Getting out of the “technical servitude” in the Data Systems

Migrate data visualization technologies to the Cloud in an automated way

{openAudit}, by relying on the exceptional introspection capabilities of certain data visualization technologies, makes it possible to automate the process of “reconstruction” of the platform in the target technology: intelligence and layout.

Granular analysis of DataViz technology in source

{openAudit} will automatically recover all of the instructions that are passed into the DataViz technology at the source, at the intelligence or layout level.

Granular analysis of DataViz technology in source
Automated migration to target DataViz technology

Automated migration to target DataViz technology

{openAudit} reconstructs intelligence in a fully automated way based on the target technology: variables, expressions, etc. The structure of the initial dashboard is also reproduced in the target technology.

New: {oa-lake}, a SQL middleware to unify sources and tools

{oa-lake} acts as an orchestration layer between data systems and visualization tools. Based on a distributed SQL engine and Parquet storage, it centralizes business logic, reduces the load on source systems, and simplifies end-to-end data flow governance.

Migrations of business rules to the target DWH

Use cases

Modern Data Stack : Centralize intelligence, not data...

Migrate from SAP BO to GCP Looker - Keeping your data as a source? Is it possible?