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{openAudit}

Data lineage and the use of data to transform a system: simplifications / migrations

A SaaS software,
with automated processes for effective action!

Security : Only Metadata

The collected metadata is automatically pushed to the {openAudit} Cloud process server to be parsed. Data usage logs can be anonymized.

Light Processes, Continuously Replayed

All metadata is parsed at the delta so that analyses are performed daily, as close to the reality of the Information System as possible.

Handling Disruptions in Flows

All potential disruptions (semantic layers, FTP transfers, views, dynamic procedures, etc.) are handled through structural reconciliations, log captures, etc., for a complete representation of the flows.

How {openAudit} Can Help You Address Complex Issues.

An indicator is calculated incorrectly: I can trace back through the flows within the entire system and identify the problem's origin in the code: "drill through."
GDPR: I can instantly know which people or machines (software) are accessing specific personal data, possibly inappropriately, to take action.
Data Loss Prevention (DLP): I can detect whether sensitive data is being accessed or requested inappropriately by users or systems, ensuring better control and protection across the entire environment
Migrating my data visualization: I can decommission legacy BI technologies such as SAP BO or Cognos and migrate reports and business rules to modern platforms like Looker or Power BI automatically.
Migration of ETL/ELT systems: decommission legacy tools (BODS, DataStage, SSIS, Informatica) and migrate processes to SQL/dbt and Cloud platforms (GCP, Redshift, etc.).
Reducing Cloud costs: I can identify unused tables, files, and dashboards, along with associated processes, and decommission them to optimize resources and reduce infrastructure costs.

Frequently Asked Questions

What technologies are currently addressed by {openAudit}?

DataFlows (procedural code & code): SQL, vues SQL, Cobol, PL/SQL, T-SQL, PostgreSQL, Bteq, Big Query, Java, Perl, etc. || DataFlows (ETL/ELT): SAP BODS, IBM DataStage, OpenText Genio, Informatica PowerCenter, Microsoft SSIS, Talend, Oracle Data Integrator (ODI), Stambia, AB Initio, etc. || DataViz : SAP BO, Microsoft SSRS, Microsoft SSAS, Power BI, Qlik Sense, GCP Looker, IBM Cognos, etc.

Is it possible to work with other technologies?

Ellipsys has been developing numerous parsers for a long time and is capable of developing new ones in record time. Furthermore, Cloud technologies make extensive use of SQL and its derivatives. And we have genuine expertise in SQL, SQL views, nested views, as well as a range of methods for handling dynamic procedures, triggers, FTP transfers, etc., that is, everything that can cause disruptions in data flows.

What about the personal data revealed and their processing?

{openAudit} will add log analysis to the data lineage, to know who consumed the data, when and how (which corresponds to the uses of the data). The generated audit logs contain all SQL queries executed on the database, whether by programs or users. These queries may contain "sensitive" information such as customer names, user numbers, etc. To be exhaustive, all integers, floats and strings present in queries are hidden. We do not have access to the cartography table.

Do we have access to the databases linked to the processing of metadata by {openAudit}?

The databases of {openAudit}, which allow us to build our responses on the web interfaces, are systematically made available to clients so that they can build responses beyond those that we offer. Typically, some of our clients have "connected" PowerBI or Qlik in order to perform additional analyses. We provide numerous SQL queries that are the result of our past interactions with our clients and that allow for countless analyses.

{openAudit} is SaaS software, but is it possible to integrate it on-prem?

Yes. We have a number of banking customers who refuse to push their data outside. We install {openAudit} on VMs at home. Ideally, we need VPN access to be able to carry out maintenance corrective action, or version upgrades. You can also create a secure airlock with a Citadelle server.

How is {openAudit} billed?

Our Proofs of Concept (PoCs) are never free, as the setup is time-consuming and its value is significant. PoCs consist of a single scan of the perimeter that the client wishes to analyze. Unlike PoCs, licenses allow for daily scans so that the results of the {openAudit} analyses accurately reflect the reality of the system. The analyses are performed using delta processing ("Change Data Capture") to ensure the scans are as lightweight as possible. The price of multi-year licenses depends directly on the number of technologies involved (DataFlows and DataViz), as well as the data volumes. We offer a wide range of access options, always sufficient for the client's needs.

What is oa-tbx ({openAudit} Toolbox) and what is it used for?

oa-tbx is a middleware that replaces proprietary ETL tools by automatically translating their logic into SQL. It enables a shift from closed, hard-to-maintain systems to an open, readable, and interoperable architecture, where business logic is centralized and shared.

What is oa-lake and how is it different from a traditional data lake?

oa-lake is an intermediate layer that unifies data sources and centralizes business logic in SQL. Unlike a traditional data lake, it does not only store data: it enables the sharing of transformations and fully decouples data visualization tools from the original sources.

Do you need to migrate your data sources to change your data visualization tool?

No. Thanks to the oa-lake architecture, existing data sources can be preserved while changing tools. Business logic is extracted and shared in SQL, enabling a smooth, progressive transition without disruption or heavy upstream migration.