Data Quality Software

Data Quality Software Overview

What is Data Quality Software?

Data quality software is designed to ensure that business data is as reliable as possible. Reliable data is essential if it is to provide a solid basis for effective decision-making.

Data Quality Software Features & Capabilities

Connectivity to multiple data sources
Data profiling and auditing to help find anomalies, hidden relationships between data elements
Seamless integration with Mister Data Management (MDM) systems
Parsing and standardization of data elements according to pre-defined rules
Match and merge capability
Data format and valid address checking

Why Data Quality Matters

This imperative to improve data quality has become more critical with the emergence of big data strategies. Increasing data volumes make the issue of data quality more important than ever.

The goal is for data to be complete such that, for example, all disparate pieces of data for a single customer are linked. Data also needs to be clean with automatic elimination of typos and abbreviation errors.

Data Quality Improvement Strategies

Among the most common strategies for improving data quality are:

Parsing and standardizing data. Data is broken up into multiple structured elements and then each element is standardized according to predefined rules.
Matching and merging data. Data records that look similar are automatically flagged as possible matches, and if they are found to be matches the records are then merged.
Case management. Some data records will be found to be incomplete or erroneous. This problematic data is automatically flagged and placed in a queue where it can be investigated and remediated later.
Address Verification: Checking format and that address represent a real physical location.

Data Quality Benefits

Availability of high-quality data for business intelligence projects and master data management.
Reduced time to implement data governance or compliance audits.
Consolidated views of customers and households enabling more effective cross and upselling.
Provision of research data for fraud detection and planning.

Pricing Information

Cloud security software for business varies greatly in price depending on capabilities and scalability. Enterprise level products may cost as much as $5,000 per year per application secured. In addition, there are significant costs in hiring the right engineers to build and operate these systems.

29 Ratings

37 Ratings

SAP Business Objects Data Quality Management embeds data quality functionality into SAP applications.

5 Ratings

The V12 Data Platform (formerly called the Launchpad Marketing Cloud) is comprised of a collection of online and offline marketing solutions that is designed to manage existing customer relationships and identify new prospective customers by granting users access to The V12 Group Data Cloud. It c...

13 Ratings

SAP Data Services is an offering from SAP to improve data quality.

7 Ratings

Oracle Enterprise Data Quality is, as the name would suggest, a data quality offering from Oracle for enterprises.

4 Ratings

IBM InfoSphere QualityStage is a data quality offering from IBM.

5 Ratings

IBM InfoSphere Information Analyzer provides a data quality solution featuring assessment, monitoring, and rule design and analysis, from IBM.

9 Ratings

SAS DataFlux's capabilities handle data profiling, matching, cleansing and monitoring. Capabilities are available as individual products or as a platform. DataFlux competes with Informatica, Trilliium, Ataccama, and SAP Data Quality Management.

3 Ratings

Alteryx Connect is a data cataloguing application enabling enterprise users to discover data from disparate sources, flag issues, enrich data with annotations and logged discussions, track data version, and take other actions to ensure data quality and trustworthiness.