What is Data Profiling?
Data profiling is the systematic process of
examining, analyzing, and recording the
characteristics of data. It involves analyzing
data sources and collecting metadata on the
condition of data to uncover data quality
issues of duplication, consistency, accuracy
and completeness.
Why Trust Global IDs with Your Data Profiling?
One Single Integrated Product
Includes a wide variety of profiling dimensions to offer users a deep understanding of their data including Statistical, Relationship, Subtable, Time Series, ID, Correlation and Data File Profilers.
Simplifies DQ Rule Creation
The Global IDs Profiler learns from user feedback to simplify Data Quality rule creation by non-technical users.
Drives Automated ML Classification
The intelligence gained during profiling enables our proprietary Fingerprinting* technology to automate data Classification** using advanced Machine Learning.
* To learn more about data fingerprinting visit https://www.globalids.com/data-fingerprinting/
* To learn more about data classification visit https://www.globalids.com/data-classification/
How Does Data Profiling Benefit You
Improved Data Quality
Data profiling helps identify and address Data Quality issues such as missing values, duplicates,
inconsistencies, inaccuracies, and outliers. Once known, users can take corrective action to
increase accuracy and reliability leading to better decision making.
Simplified Data Integration
and Migration
By analyzing the structure
and content of data from
disparate sources,
organizations can better
understand the data. This
helps the mapping and
transformation of data to
ensure compatibility and
consistency when merging
or migrating data from
multiple systems.
Mitigated Risk
Data profiling can help
mitigate regulatory risk by
providing visibility into data content and structure inconsistencies and can help prevent reputation damage by
detecting and resolving
business partner data
inaccuracies.
