Reduce Complexity. Gain Business Value.
The importance of Data Profiling
Data Profiling helps in understanding the characteristics of your data and can help in determining the data transformation that must occur for design and data mapping. Statistical analysis of your instance data, with attribute assessments, correlations identifications, cleanup suggestions and missing data evaluations is the basis for managing and trusting your data leading to a data driven-culture where stakeholders can focus on innovation and collaboration instead of solving data problems.
Utilize it upfront to help you understand data quality issues, to reduce risk and unnecessary future expense.
Ask yourself how you could spend more time on innovation instead of data problems?
"We lack understanding of the data and confidence in our data."
How do we manage them?
SOMETHING TO CONSIDER
Data Profiling Roadmap
The Affirma Roadmap gives you visibility into our planned capability expansions. We offer the opportunity for clients to collaborate and help drive product development through our strategy sessions.
Approaches to Data Profiling
The ability for ODBC Data Profiling to directly connect to data sources (i.e. database) to process the whole or sub-set of the associated data. File upload Data Profiling to upload a file(s) associated with the respected data to complete the profiling.
Data Profiling insights
The ability to gain insights from:
- Variables counts (i.e., distinct, missing, memory size)
- Missing Value analysis
- Cleanup suggestions