How Can a Data Profiling Software Help Your Business?

Data profiling saves you from future roadblocks and mishaps during a crucial migration or integration process. More importantly, it helps business stakeholders be aware of the challenges ahead.

What Do You get with Data Ladder’s Data Profiling Software?

Data Ladder’s DataMatch Enterprise offers one of the easiest to use data profiling tools in the market. It quickly provides enough metadata to construct a cogent profile analysis of data quality and quantifies the scope and depth of necessary add-ons to make the project successful.

Data Profiling Software

Get instant 360-view of your data with the industry’s leading data profiling tool that identifies blank values, field data types, recurring patterns, and other descriptive statistics, highlighting 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. These details may be used for different purposes, for example data quality reporting, metadata verification, and so on.

Data profiling helps to identify potential data cleansing opportunities and assess how well your data scores against data quality dimensions.

A data profiling tool reports on your data quality and analyzes your datasets in terms of different measures – such as completeness, uniqueness, pattern recognition, and other statistics.

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?

Completeness and uniqueness analysis

With DME’s data profiling feature, find out the exact number of blank or non-filled values present in the fields of your dataset, as well as the count of unique (distinct) values.

Frequency analysis

DME profiles your dataset to show the number of times the most common values occur in a dataset attribute, allowing you to review whether these duplicates should exist or not.

Character analysis for strings

String values are profiled to highlight how many values in the column have numbers, letters, numbers and letters both, punctuation, leading spaces, and non-printable characters.

Statistical analysis for numbers

DME analyzes the numeric values present in a dataset attribute and shows descriptive statistics such as the minimum, maximum, mean, median, mode, and extreme values.

Pattern recognition and data validation

Data profiling tools identify the pattern a column follows and calculate the number of valid and invalid values against the identified pattern. You can use DME’s library of commonly used patterns or create your own using our simple drag and drop pattern builder.