Methodology

Process automation

{openAudit} captures as much metadata as possible with probes and parsers, within complex Information Systems. {openAudit} analyzes all this metadata to highlight all the company's internal processes to enable action: system simplifications, migrations of DataFlow or DataViz layers.


5 technical stacks continuously analysed

Methodology

Data
inventory:

Data inventory

Data inventory


A "data catalog" with files, flows, datasets: all physical data persisted or in memory, views, reports...

Parsing and analysis
of logs:

Log parsing

Parsing and analysis of logs:


For data consumption and injection.

Introspection of the
DataViz layer:

DataViz

Introspection of the
DataViz layer:


– Know the link between technical and business information,
– Gather intelligence (business rules),
– Propagate business terms in the underlying layers to maintain a “business” understanding of the processes.

Reverse engineer
the code:

Code parsing

Reverse engineer the code:


For technical, granular, end-to-end data lineage, synchronized with the Information System.

Scheduler
analysis:

Scheduler parsing

Scheduler analysis:


To understand scheduling and relate it to data lineage and uses of data.