Data storage or data visualization technologies have accumulated over time.
Some of these technologies are outdated, or are not well supported in the Cloud. You have to
migrate.
Unfortunately, the volumes and intrinsic complexity of certain technologies make these projects
excessively complex and expensive.
We offer solutions to automate these migrations. We implement them on a fixed price basis.
We have developed a unique methodology to automate database system migrations. The unique system introspection capabilities of {openAudit}, particularly in legacy technologies, make it possible to reconstruct this complexity in the target system, often in the Cloud.
{openAudit} “parses” the source code, and breaks down all the complexity of the code. For example, in PL/SQL, T-SQL or in Cobol. All the subtleties will be taken into consideration.
{openAudit} will rebuild query intelligence in the specific query language of the target database (such as Redshift for Amazon, Azure Database for Microsoft, etc.). All complex processing, not reproducible in standard queries, will be managed by an executable program.
{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. In particular, we have extensive experience in migrations between SAP BO and Power BI from Microsoft, or SAP BO to Looker from Google.
{openAudit} will automatically recover all of the instructions that are passed into the DataViz technology at the source, at the intelligence or layout level.
{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.
Part of the intelligence from the source dashboards is moved into the DataFlows of the target platform, to factorize data prep, and thus massively reduce complexity.
{openAudit} runs the dashboards in bulk, before migration and after migration, then compare the results (content and form) to validate the quality of the migration.