Data profiling is a crucial part of data conversion, migration and data quality projects. In fact, it is the first step in understanding the scope and nature of data problems in a new data project or plan. Despite its importance, data profiling is rarely seen on project plans and almost definitely never seen as a line item in the budget.
That’s because most companies use consultants who profile it AFTER a data consultant encounters issues with the client’s system or data preventing a successful outcome to the migration or integration effort. Download this whitepaper and find out the ten things to check when profiling your data.