DQ Audit

The direct contact with the data, in many situations and industries, allowed us to understand the frequent risks that a data set is exposed to, especially in the light of the introduction format, the existing (or absent) Data Quality policies and the historic monitoring level.

We developed tools that allow us fast data exploration and a good sense.

Situations in which we recommend a DQ audit:




  • data migration to a new transactional system;



  • start implementing an advanced reporting system;



  • unification or consolidation of multiple companies;



  • integration of information from multiple systems that worked until recently independent or uncorrelated.