Data Profiling Software
Get instant 360-view of your data quality by identifying blank values, field data types, recurring patterns, and other descriptive statistics that highlight potential data cleansing opportunities.
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DEFINiTION
What is data profiling?
Data profiling is the process of uncovering hidden details about the structure and contents of your datasets. The use of these uncovered details depends on what you are trying to achieve with your data.
For example, if you want to improve data quality, then a data profile helps to identify potential data cleansing opportunities and assess how well your data is being maintained against data quality dimensions.
Benefits
Why do you need a data profiling tool?
Know what you have
Assess the current state of your data in terms of content and structure and build a better understanding of the data at hand.
Generate profiles at lightning speed
Fast and accurate data profiling can help reduce manual labor and human errors, while ensuring timely deliveries.
Consistently track data quality
Monitor data validity and completeness at every step of your data quality management process to ensure data governance.
Reduce cost and mitigate risk
Invest correctly and timely to save cost spent on outsourcing data profiling and performing rework at later stages of DQM.
Facilitate data integration and migration
Profile all data sources and understand their structural differences before initializing a data integration or migration process.
Improve operational efficiency
Increase operational efficiency by planning better utilization of technology and resources, without compromising on quality.
Features
What DME’s data profiling can do for you?
There’s more
What else do I get out of the box?
Our data profiling solution comes with a number of in-built features that facilitate easy, automatic, and cost-effective data profiling at any time.
- Bulk profiling for multiple data sources
- Central repository for all data profiles
- Data profile generation at any time
- Multi-format support for exporting results
- Custom filters for personalized views
- Map charts for locating address values
- Version history of a data profile
- Schedule automatic data profile generation
User roles
A tool made for everyone
Data analysts
Business users
IT Professionals
Novice users
Features
We take care of your complete DQM lifecycle
Import
Connect and integrate data from multiple disparate sources
Profiling
Automate data quality checks and get instant data profile reports
Cleansing
Standardize & transform datasets through various operations
Matching
Execute industry-grade data match algorithms on datasets
Deduplication
Eliminate duplicate values and records to preserve uniqueness
Merge & purge
Configure merge and survivorship rules to get the most out of data
Want to know more?
Check out DME resources
Merging Data from Multiple Sources – Challenges and Solutions
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