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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.

Data Quality Products

Listings (1-25 of 40)

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.

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.

We don't have enough ratings and reviews to provide an overall score.

Syncsort Trillium DQ for Big Data (formerly Trillium Quality for Big Data) supports enterprises using a Big Data framework like Hadoop with data quality functions like data integration, data cleansing, standardization and parsing, with prebuilt process flows that can be configured to meet busines...

We don't have enough ratings and reviews to provide an overall score.

Trillium Cloud developed by Trillium Software, now a Syncsort property since the 2016 acquisition, is an enterprise cloud-based data quality option, available as a subscription service and designed to present a simpler, expert-assisted management solution.