One important task to complete when you are implementing IAM solutions is the data load. All companies struggle in some way with identity data. You can face issues like the identity is spread among different systems and have inconsistencies.

Some of the problems you might find for the data load are:
o Identity data Incomplete
o Identity data needs updates
o Identity data is abandoned
o Identity data is duplicated.

In order to have a clean and useful data for you IAM system you need to build a plan to prepare it and a Data Quality phase (here you define who validate the quality of the data and how) to insure that the data is ready for a deployment.

Some of the tasks to prepare your data are:
o Data understand
o Collect initial data
o Describe data
o Explore data
o Verify data quality
o Data Preparation
o Select data
o Clean data
o Construct data
o Integrate data
o Format data
o Data enrich
o Add extended data