The technical capabilities of the Cloud allow infinite scalability.
And that’s good, since data sources have multiplied, as have users and business uses cases.
Unfortunately, there are side effects: the systems grow bigger, they are no longer intelligible,
maintainable, and they end up being expensive.
We offer features to detect “dead matter” in systems, whether tables, files, dashboards, or code,
in order to bring these systems back to their optimum and reduce Cloud costs.
Thanks to an analysis of information uses, associated with the information flow (data lineage), {openAudit} identifies unnecessary flows and the data points associated with them (tables / files). This is what we call “dead branches”: they can be decommissioned without risk of regression.
{openAudit} continuously analyzes audit database logs and the data visualization layer to discover which data actually has uses.
Unused data is isolated by opposition, and all underlying tables, files, procedures, ELT/ETL jobs are identified using data lineage. These are the "dead branches".
{openAudit} parses the DataViz solution files and associates certain logs from the audit databases. Obsolete, broken, replicated dashboards are detected and can be archived or discarded to reduce costs and reduce the risk of errors. For SAP BO, we also offer mass archiving tools.
{openAudit} identifies dashboards that do not report results, or those that are obsolete.
{openAudit} compares dashboards with each other and detects replications according to different criteria: content, container, filters, etc.