Data Profiling

Data profiling is the process of examining the data available in an existing data source (e.g. a database or a file) and collecting statistics and information about that data. The purpose of these statistics may be to:
1.    Identify the current data state and find out data quality issues
2.    Improve the ability to search the data by tagging it with keywords, descriptions, or assigning it to a category
3.    Provide metrics on data quality, including whether the data conforms to particular standards or patterns
4.    Assess the risk involved in integrating applications or processes
5.    Assess whether metadata accurately describes the actual values in the source database

Data Profiling Challenges and Issues
•    Intra-table dependencies are not known
•    Multiple Data dictionaries with no c
•    Absence of Data Cleansing framework

Our Expertise

We initiate most of our data projects with Data profiling.  This enables us and the client to jointly understand the magnitude of data problems that exist in their systems.  To ensure ongoing success, we tightly integrate Data Profiling with Data Quality Plans.

Contact Us to get answers to your specific Data Challenges and find out how we can help you achieve your business objectives through better data management.